Publications of Michelangelo Ceci  
 
 
 
ID Year Journal papers Link
IJ_21 2015 Pio G, Ceci M, Malerba D, D'Elia D: (2015). ComiRNet: a web-based system for the analysis of miRNA-gene regulatory networks. BMC BIOINFORMATICS, vol. 16, S7, ISSN: 1471-2105, doi: 10.1186/1471-2105-16-S9-S7 PDF
IJ_20 2015 Loglisci C, Ceci M, Malerba D (2015). Relational mining for discovering changes in evolving networks. NEUROCOMPUTING, vol. 150, p. 265-288, ISSN: 0925-2312, doi: doi:10.1016/j.neucom.2014.08.079 PDF
IJ_19 2014 Pio G, Fumarola F, Felle A E, Malerba D, Ceci M (2014). Discovering Novelty Patterns from the Ancient Christian 1 Inscriptions of Rome. ACM JOURNAL ON COMPUTING AND CULTURAL HERITAGE, vol. 7, 22, ISSN: 1556-4673, doi: http://dx.doi.org/10.1145/2629513 PDF
IJ_18 2014 Pio G, Malerba D, D'Elia D, Ceci M (2014). Integrating microRNA target predictions for the discovery of gene regulatory networks: a semi-supervised ensemble learning approach. BMC BIOINFORMATICS, vol. 15, S4, ISSN: 1471-2105, doi: http://dx.doi.org/10.1186/1471-2105-15-S1-S4 PDF
IJ_17 2014 Appice A, Ceci M, Loglisci C, Masciari E, Manco G (2014). Mining complex patterns. JOURNAL OF INTELLIGENT INFORMATION SYSTEMS, p. 179-180, ISSN: 1573-7675, doi: 10.1007/s10844-013-0301-4 PDF
IJ_16 2014 Appice A, Ceci M, Malerba D (2014). Multi-Relational Model Tree Induction Tightly-Coupled with a Relational Database. FUNDAMENTA INFORMATICAE, vol. 129, p. 193-224, ISSN: 0169-2968, doi: 10.3233/FI-2014-969 PDF
IJ_15 2014 Ceci M, Loglisci C, Macchia L (2014). Ranking Sentences for Keyphrase Extraction: A Relational Data Mining Approach. PROCEDIA COMPUTER SCIENCE, vol. 38, p. 52-59, ISSN: 1877-0509, doi: doi:10.1016/j.procs.2014.10.011 PDF
IJ_14 2013 Pio G, Ceci M, D'Elia D, Loglisci C, Malerba D: (2013). A Novel Biclustering Algorithm for the Discovery of Meaningful Biological Correlations between microRNAs and their Target Genes. BMC BIOINFORMATICS, vol. 14, S8, ISSN: 1471-2105, doi: 10.1186/1471-2105-14-S7-S8 PDF
IJ_13 2013 Stojanova D, Ceci M, Appice A, Malerba D, Džeroski S (2013). Dealing with Spatial Autocorrelation when Learning Predictive Clustering Trees . ECOLOGICAL INFORMATICS, vol. 13, p. 22-39, ISSN: 1574-9541, doi: 10.1016/j.ecoinf.2012.10.006 PDF
IJ_12 2013 CECI M, CUZZOCREA A., MALERBA D. (2013). Effectively and efficiently supporting roll-up and drill-down OLAP operations over continuous dimensions via hierarchical clustering. JOURNAL OF INTELLIGENT INFORMATION SYSTEMS, p. 1-25, ISSN: 1573-7675, doi: DOI 10.1007/s10844-013-0268-1 PDF
IJ_11 2013 Stojanova D, Ceci M, Malerba D, Dzeroski S (2013). Using PPI network autocorrelation in hierarchical multi-label classification trees for gene function prediction. BMC BIOINFORMATICS, vol. 14, 285, ISSN: 1471-2105, doi: 10.1186/1471-2105-14-285 PDF
IJ_10 2012 Stojanova D, Ceci M, Appice, A, Džeroski S (2012). Network regression with predictive clustering trees. DATA MINING AND KNOWLEDGE DISCOVERY, vol. 25, p. 378-413, ISSN: 1384-5810, doi: 10.1007/s10618-012-0278-6 PDF
IJ_9 2012 Ceci M, Guzzi P H, Masciari E, Coluccia M, Mandreoli F, Mecella M, Fumarola F, Martoglia R, Penzo W (2012). The IS-BioBank project: a framework for biological data normalization, interoperability, and mining for cancer microenvironment analysis. SIGHIT RECORD, vol. 2, p. 16-21, ISSN: 2158-8813, doi: 10.1145/2384556.2384558 PDF
IJ_8 2011 APPICE A, CECI M, TURI A, MALERBA D (2011). A parallel, distributed algorithm for relational frequent pattern discovery from very large data sets. INTELLIGENT DATA ANALYSIS, vol. 15, p. 69-88, ISSN: 1088-467X, doi: 10.3233/IDA-2010-0456 PDF
IJ_7 2009 MALERBA D, CECI M, APPICE A (2009). A relational approach to probabilistic classification in a transductive setting. ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE, vol. 22, p. 109-116, ISSN: 0952-1976, doi: 10.1016/j.engappai.2008.04.005 PDF
IJ_6 2007 CECI M, MALERBA D (2007). Classifying Web Documents in a Hierarchy of Categories: A Comprehensive Study. JOURNAL OF INTELLIGENT INFORMATION SYSTEMS, vol. 28, p. 37-78, ISSN: 0925-9902, doi: 10.1007/s10844-006-0003-2 PDF
IJ_5 2007 CECI M, BERARDI M, MALERBA D (2007). Relational Data Mining and ILP for Document Image Understanding. APPLIED ARTIFICIAL INTELLIGENCE, vol. 21, p. 317-342, ISSN: 0883-9514, doi: 10.1080/08839510701252551 PDF
IJ_4 2007 ALTAMURA O, BERARDI M, CECI M, MALERBA D, VARLARO A (2007). Using color information to understand censorship cards of film archives. INTERNATIONAL JOURNAL ON DOCUMENT ANALYSIS AND RECOGNITION, vol. 9, p. 281-297, ISSN: 1433-2833, doi: 10.1007/s10032-006-0021-1 PDF
IJ_3 2006 CECI M, APPICE A. (2006). Spatial associative classification: propositional vs structural approach. JOURNAL OF INTELLIGENT INFORMATION SYSTEMS, vol. 27, p. 191-213, ISSN: 0925-9902, doi: 10.1007/s10844-006-9950-x PDF
IJ_2 2004 MALERBA D, ESPOSITO F, CECI M, APPICE A (2004). Top-Down Induction of Model Trees with Regression and Splitting Nodes. IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, vol. 26, p. 612-625, ISSN: 0162-8828, doi: 10.1109/TPAMI.2004.1273937 PDF
IJ_1 2003 APPICE A., CECI M, LANZA A., LISI F.A., MALERBA D. (2003). Discovery of Spatial Association Rules in Georeferenced Census Data: A Relational Mining Approach. INTELLIGENT DATA ANALYSIS, vol. 7, p. 541-566, ISSN: 1088-467X PDF
ID Year Journal abstracts Link
JA.2 2012 Pio G, Ceci M, D'Elia D, Loglisci C, Malerba D (2012). A novel biclustering algorithm for the discovery of meaningful biological correlations between miRNAs and mRNAs. EMBNET JOURNAL, vol. 18, p. 43-44, ISSN: 2226-6089 PDF
JA.1 2012 Pio G, Ceci M, Loglisci C, Malerba D, D'Elia D (2012). The integration of microRNA target data by biclustering techniques opens new roads for signaling networks analysis. EMBNET JOURNAL, vol. 18, p. 142-144, ISSN: 2226-6089 PDF
ID Year Book chapters Link
IBC.15 2014 Fumarola F, Pio G, Felle A E, Malerba D, Ceci M (2014). EDB: Knowledge Technologies for Ancient Greek and Latin Epigraphy. In: 9th Italian Research Conference on Digital Libraries, IRCDL 2013. COMMUNICATIONS IN COMPUTER AND INFORMATION SCIENCE, vol. 385, p. 29-40, BERLIN HEIDELBERG:Springer-Verlag, ISBN: 978-364254346-3, ISSN: 1865-0929, doi: 10.1007/978-3-642-54347-0_4 PDF
IBC.14 2013 LOGLISCI C, CECI M, MALERBA D (2013). Discovering Evolution Chains in Dynamic Networks. In: (a cura di): Appice A, Ceci M, Loglisci C, Manco G, Masciari E, Ras Z W, New Frontiers in Mining Complex Patterns First International Workshop, NFMCP 2012, Held in Conjunction with ECML/PKDD 2012, Bristol, UK, September 24, 2012, Rivesed Selected Papers. LECTURE NOTES IN COMPUTER SCIENCE, vol. 7765, p. 185-199, BERLIN HEIDELBERG:Springer-Verlag, ISBN: 978-3-642-37381-7, ISSN: 0302-9743, doi: 10.1007/978-3-642-37382-4_13 PDF
IBC.13 2013 CECI M, LOGLISCI C, MACCHIA L, MALERBA D, QUERCIA L (2013). Document Image Understanding through Iterative Transductive Learning. In: (a cura di): AGOSTI M, ESPOSITO F, FERILLI S, FERRO N, Digital Libraries and Archives 8th Italian Research Conference, IRCDL 2012, Bari, Italy, February 9-10, 2012, Revised Selected Papers. COMMUNICATIONS IN COMPUTER AND INFORMATION SCIENCE, vol. 354, p. 117-128, BERLIN HEIDELBERG:Springer-Verlag, ISBN: 978-3-642-35833-3, ISSN: 1865-0929, doi: 10.1007/978-3-642-35834-0_13 PDF
IBC.12 2012 STOJANOVA D, DEBELJAK M, CECI M, APPICE A, MALERBA D, DŽEROSKI S (2012). Dealing with spatial autocorrelation in gene flow modeling. In: Ferenc Jordán, Sven Erik Jřrgensen . Models of the Ecological Hierarchy. DEVELOPMENTS IN ENVIRONMENTAL MODELLING, vol. 25, p. 35-50, Oxford:Elsevier, ISBN: 9780444593962, ISSN: 0167-8892, doi: 10.1016/B978-0-444-59396-2.00003-1 PDF
IBC.11 2012 APPICE A, CECI M, MALERBA D, LANZA A (2012). Learning and Transferring Geographically Weighted Regression Trees across Time. In: Martin Atzmueller, Alvin Chin, Denis Helic, Andreas Hotho. Modeling and Mining Ubiquitous Social Media. LECTURE NOTES IN COMPUTER SCIENCE, vol. 7472, p. 97-117, BERLIN:Springer, ISBN: 978-3-642-33683-6, ISSN: 0302-9743, doi: 10.1007/978-3-642-33684-3_6 PDF
IBC.10 2011 Loglisci C, Appice A, Ceci M, Malerba D, Esposito F (2011). MBlab: Molecular Biodiversity Laboratory. In: Agosti M, Esposito F, Meghini C, Orio N. Digital Libraries and Archives 7th Italian Research Conference, IRCDL 2011. COMMUNICATIONS IN COMPUTER AND INFORMATION SCIENCE, vol. 249, p. 132-135, BERLIN HEIDELBERG:Springer-Verlag, ISBN: 978-3-642-27302-5, ISSN: 1865-0929, doi: 10.1007/978-3-642-27302-5_18 PDF
IBC.9 2011 CECI M, LOGLISCI C, SALVEMINI E, D'ELIA D, MALERBA D (2011). Mining Spatial Association Rules for Composite Motif Discovery. In: BRUNI R.. Mathematical Approaches to Polymer Sequence Analysis and Related Problems. p. 87-109, NEW YORK:Springer, ISBN: 978-1-4419-6800-5, doi: 10.1007/978-1-4419-6800-5_5 PDF
IBC.8 2011 Ceci M, Loglisci C, Ferilli S, Malerba D (2011). Project D.A.M.A.: Document acquisition, management and archiving. In: Agosti M, Esposito F, Meghini C, Orio N. Digital Libraries and Archives 7th Italian Research Conference, IRCDL 2011. COMMUNICATIONS IN COMPUTER AND INFORMATION SCIENCE, vol. 249, p. 115-118, BERLIN HEIDELBERG:Springer-Verlag, ISBN: 978-364227301-8, ISSN: 1865-0929, doi: 10.1007/978-3-642-27302-5_13 PDF
IBC.7 2011 Ceci M, Loglisci C, Malerba D (2011). Transductive learning of logical structures from document images. In: Biba M, Xhafa F. Learning Structure and Schemas from Documents. STUDIES IN COMPUTATIONAL INTELLIGENCE, vol. 375, p. 121-142, BERLIN HEIDELBERG:Springer-Verlag, ISBN: 978-364222912-1, ISSN: 1860-949X, doi: 10.1007/978-3-642-22913-8_6 PDF
IBC.6 2010 CECI M, APPICE A, MALERBA D (2010). Transductive Learning for Spatial Data Classification. In: JACEK KORONACKI, ZBIGNIEW W. RAS, SLAWOMIR T. WIERZCHON, JANUSZ KACPRZYK. Advances in Machine Learning I: Dedicated to the Memory of Professor Ryszard S. Michalski. vol. 262, p. 189-207, BERLIN, HEIDELBERG:Springer, ISBN: 978-3-642-05176-0, doi: 10.1007/978-3-642-05177-7 PDF
IBC.5 2008 MALERBA D, CECI M (2008). Learning to Order: A Relational Approach. In: RAS Z. W., TSUMOTO S., ZIGHED D. A.. Mining Complex Data, MCD 2007. LECTURE NOTES IN COMPUTER SCIENCE, vol. 4944, p. 209-223, BERLINO:Springer Verlag, ISBN: 978-3-540-68415-2, ISSN: 0302-9743, doi: 10.1007/978-3-540-68416-9 PDF
IBC.4 2008 MALERBA D, CECI M, BERARDI M (2008). Machine Learning for Reading Order Detection in Document Image Understanding. In: MARINAI S., FUJISAWA H.. Machine Learning in Document Analysis and Recognition. Studies in Computational Intelligence. STUDIES IN COMPUTATIONAL INTELLIGENCE, vol. 90, p. 45-69, BERLINO:Springer Verlag, ISBN: 978-3-540-76279-9, ISSN: 1860-949X, doi: 10.1007/978-3-540-76280-5 PDF
IBC.3 2007 MALERBA D, BERARDI M, CECI M (2007). Discovering Spatio-Textual Association Rules in Document Images. In: PONCELET P., MASSEGLIA F., MAGUELONNE T.. Data Mining Patterns: New Methods and Applications. p. 178-199, HERSHEY PA:IGI Global, ISBN: 978-1-59904-162-9, doi: 10.4018/978-1-59904-162-9.ch008 PDF
IBC.2 2004 MALERBA D., A. APPICE, CECI M (2004). A Data Mining Query Language for Knowledge Discovery in a Geographical Information System. In: R. MEO, P. LANZI, M. KLEMETTINEN. Database Support for Data Mining Applications. LECTURE NOTES IN COMPUTER SCIENCE, vol. 2682, p. 95-116, BERLIN:Springer, ISBN: 3-540-22479-3, ISSN: 0302-9743, doi: 10.1007/978-3-540-44497-8_5 PDF
IBC.1 2002 MALERBA D., ESPOSITO F., CECI M (2002). Mining HTML pages to support document sharing in a Cooperative System. In: UNLAND R., CHAUDRI A., CHABANE D., LINDNER W.. XML-Based Data Management and Multimedia Engineering - EDBT 2002 Workshops. LECTURE NOTES IN COMPUTER SCIENCE, vol. 2490, p. 420-434, BERLIN:Springer, ISBN: 3-540-00130-1, ISSN: 0302-9743, doi: 10.1007/3-540-36128-6_25 PDF
ID Year International Collections and International Conferences Link
IC.68 2014 Ceci m, Corizzo R, Fumarola F, Ianni M, Malerba D, Maria G, Masciari E, Oliverio M, Rashkovska A (2015). Big Data Techniques For Supporting Accurate Predictions of Energy Production From Renewable Sources. In: (a cura di): Desai B C, Toyama M, Proceedings of the 19th International Database Engineering & Applications Symposium, Yokohama, Japan, July 13-15, 2015. p. 62-71, New York:ACM, Yokohama, Japan, 13-15/07/2015, doi: 10.1145/2790755.2790762 PDF
IC.67 2014 Lanotte P F, Fumarola F, Ceci M, Scarpino A, Torelli M D, Malerba D (2014). Automatic extraction of logical web lists. In: 21st International Symposium on Methodologies for Intelligent Systems, ISMIS 2014. LECTURE NOTES IN COMPUTER SCIENCE, vol. 8502, p. 365-374, BERLIN HEIDELBERG:Springer-Verlag, ISBN: 978-331908325-4, ISSN: 0302-9743, Roskilde; Denmark, 25 June 2014 through 27 June 2014, doi: 10.1007/978-3-319-08326-1_37 PDF
IC.66 2014 Ceci M, Lanotte P F, Fumarola F, Cavallo D P, Malerba D (2014). Completion Time and Next Activity Prediction of Processes Using Sequential Pattern Mining. In: (a cura di): Dzeroski S, Panov P, Kocev D, Todorovski L, Discovery Science - 17th International Conference, {DS} 2014. LECTURE NOTES IN COMPUTER SCIENCE, vol. 8777, p. 49-61, BERLIN:Springer, ISBN: 978-3-319-11811-6, ISSN: 1611-3349, Bled, Slovenia, October 8-10, 2014, doi: 10.1007/978-3-319-11812-3 PDF
IC.65 2014 Ceci M, Cassavia N, Corizzo R, Dicosta P, Malerba D, Maria G, Masciari E, Pastura C (2014). Innovative power operating center management exploiting big data techniques.. In: (a cura di): Desai B C, de Almeida A M, Bernardino J, Ferreira Gomes E, 18th International Database Engineering & Applications Symposium, IDEAS 2014. New York, NY (USA):ACM Press, ISBN: 978-1-4503-2627-8, Porto, Portugal, July 7-9, 2014, doi: 10.1145/2628194.2628231 PDF
IC.64 2014 Pio G, Lanotte P F, Ceci M, Malerba D (2014). Mining temporal evolution of entities in a stream of textual documents. In: 21st International Symposium on Methodologies for Intelligent Systems, ISMIS 2014;. LECTURE NOTES IN COMPUTER SCIENCE, vol. 8502, p. 50-60, BERLIN HEIDELBERG:Springer-Verlag, ISBN: 978-331908325-4, ISSN: 1611-3349, Roskilde; Denmark, 25 June 2014 through 27 June 2014, doi: 10.1007/978-3-319-08326-1_6 PDF
IC.63 2014 Pio G, Ceci M, D'Elia D, Malerba D (2014). Network Reconstruction for the Identification of miRNA: mRNA Interaction Networks. In: (a cura di): Calders T, Esposito F, Hullermeier E, Meo R, Machine Learning and Knowledge Discovery in Databases - European Conference, ECML PKDD 2014, Nancy, France, September 15-19, 2014. Proceedings, Part {III}. LECTURE NOTES IN COMPUTER SCIENCE, vol. 8726, BERLIN:Springer-Verlag GmbH, ISBN: 978-3-662-44844-1, ISSN: 1611-3349, Nancy, France, September 2014, doi: 10.1007/978-3-662-44845-8 PDF
IC.62 2013 Stojanova D, Ceci M, Malerba D, Dzeroski S (2013). Learning Hierarchical Multi-label Classification Trees from Network Data. In: (a cura di): Furnkranz J, Hullermeier E, Higuchi T, Discovery Science. LECTURE NOTES IN COMPUTER SCIENCE, vol. 8140, p. 233-248, BERLIN HEIDELBERG:Springer-Verlag, ISSN: 0302-9743 PDF
IC.61 2012 PIO G, CECI M, LOGLISCI C, D'ELIA D, MALERBA D (2012). Hierarchical and Overlapping Co-Clustering of mRNA:miRNA Interactions . In: Luc De Raedt, Christian Bessiere, Didier Dubois, Patrick Doherty, Paolo Frasconi, Fredrik Heintz, Peter Lucas . ECAI 2012 - 20th European Conference on Artificial Intelligence. FRONTIERS IN ARTIFICIAL INTELLIGENCE AND APPLICATIONS, vol. 242, p. 654-659, Amsterdam:IOS Press, ISBN: 978-1-61499-097-0, ISSN: 0922-6389, Montpellier, 27-31 August 2012, doi: 10.3233/978-1-61499-098-7-654 PDF
IC.60 2012 Macchia L, Ceci M, Malerba D (2012). Learning to rank from concept-drifting network data streams. In: Stephen W L, Schewe K-D, Tjoa A M, Zhou X. Database and Expert Systems Applications. LECTURE NOTES IN COMPUTER SCIENCE, vol. 7446, p. 384-396, BERLIN HEIDELBERG:Springer-Verlag, ISBN: 978-364232599-1, ISSN: 0302-9743, Vienna, Austria, 3-7 September, 2012, doi: 10.1007/978-3-642-32600-4_28 PDF
IC.59 2012 Macchia L, Ceci M, Malerba D (2012). Mining ranking models from dynamic network data. In: Perner P. Machine Learning and Data Mining in Pattern Recognition. LECTURE NOTES IN COMPUTER SCIENCE, vol. 7376, p. 566-577, BERLIN HEIDELBERG:Springer-Verlag, ISBN: 978-364231536-7, ISSN: 0302-9743, Berlin, Germany, 16-20 July 2012, doi: 10.1007/978-3-642-31537-4_44 PDF
IC.58 2012 Ceci M, Fumarola F, Guzzi P H, Mandreoli F, Martoglia R, Masciari E, Mecella M, Penzo W (2012). Toward a semantic framework for the querying, mining and visualization of cancer microenvironment data. In: Böhm C, Khuri S, Lhotská L, Renda M E. Information Technology in Bio- and Medical Informatics Third International Conference, ITBAM 2012. LECTURE NOTES IN COMPUTER SCIENCE, vol. 7451, p. 109-123, BERLIN HEIDELBERG:Springer-Verlag, ISBN: 978-364232394-2, ISSN: 0302-9743, Vienna, Austria, September 4-5, 2012, doi: 10.1007/978-3-642-32395-9_9 PDF
IC.57 2012 Ceci M, Appice A, Viktor H L, Malerba D, Paquet E, Guo H (2012). Transductive relational classification in the co-training paradigm. In: Perner P. Machine Learning and Data Mining in Pattern Recognition . LECTURE NOTES IN COMPUTER SCIENCE, vol. 7376, p. 11-25, BERLINO:Springer Berlin / Heidelberg, ISBN: 978-364231536-7, ISSN: 0302-9743, Berlin, Germany, July, 16th - 20th, 2012, doi: 10.1007/978-3-642-31537-4_2 PDF
IC.56 2011 LOGLISCI C, CECI M, MALERBA D (2011). A Temporal Data Mining Framework for Analyzing Longitudinal Data. In: HAMEURLAIN A., LIDDLE S W., SCHEWE K.-D., ZHOU X.. Database and Expert Systems Applications - 22nd International Conference, DEXA 2011. Lecture Notes in Computer Science. LECTURE NOTES IN COMPUTER SCIENCE, vol. 6861, p. 97-106, BERLIN HEIDELBERG:Springer-Verlag, ISBN: 978-3-642-23090-5, ISSN: 0302-9743, Toulouse, France, August 29 - September 2, 2011, doi: 10.1007/978-3-642-23091-2_9 PDF
IC.55 2011 LOGLISCI C, CECI M (2011). Discovering Temporal Bisociations for Linking Concepts over Time. In: GUNOPULOS D., HOFMANN T., MALERBA D., VAZIRGIANNIS M.. Machine Learning and Knowledge Discovery in Databases - European Conference, ECML PKDD 2011. Lecture Notes in Computer Science. vol. 6912, p. 358-373, Springer, ISBN: 978-3-642-23782-9, Athens, 5 September 2011 - 9 September 2011, doi: 10.1007/978-3-642-23783-6_23 PDF
IC.54 2011 LOGLISCI C, CECI M, APPICE A, MALERBA D (2011). Discovering process models through relational disjunctive patterns mining. In: Proceedings of the IEEE Symposium on Computational Intelligence and Data Mining (CIDM 2011). p. 200-207, Piscataway (NJ):IEEE, ISBN: 978-1-4244-9925-0, Paris, France, April 11-15, 2011, doi: 10.1109/CIDM.2011.5949299 PDF
IC.53 2011 Stojanova D, Ceci M, Appice A, Malerba D, Džeroski S (2011). Global and local spatial autocorrelation in predictive clustering trees. In: Elomaa T, Hollmén J and Mannila H. Discovery Science 14th International Conference, DS 2011. LECTURE NOTES IN COMPUTER SCIENCE, vol. 6926, p. 307-322, BERLIN HEIDELBERG:Springer-Verlag, ISBN: 978-364224476-6, ISSN: 0302-9743, Espoo, Finland, October 5-7, 2011, doi: 10.1007/978-3-642-24477-3_25 PDF
IC.52 2011 STOJANOVA D, CECI M, APPICE A, DZEROSKI S (2011). Network Regression with Predictive Clustering Trees. In: GUNOPULOS D., HOFMANN T., MALERBA D., VAZIRGIANNIS M.. Machine Learning and Knowledge Discovery in Databases - European Conference, ECML PKDD 2011. Lecture Notes in Computer Science. LECTURE NOTES IN COMPUTER SCIENCE, vol. 6913, p. 333-348, BERLIN HEIDELBERG:Springer-Verlag, ISBN: 978-3-642-23807-9, ISSN: 0302-9743, Athens, 5 September 2011 - 9 September 2011, doi: 10.1007/978-3-642-23808-6_22 PDF
IC.51 2011 CECI M, CUZZOCREA A, MALERBA D (2011). OLAP over Continuous Domains via Density-Based Hierarchical Clustering. In: A. KNIG, A. DENGEL, K. HINKELMANN, K. KISE, R.J. HOWLETT, L.C. JAIN. Knowlege-Based and Intelligent Information and Engineering Systems, 15th International Conference, KES 2011. LECTURE NOTES IN COMPUTER SCIENCE, vol. 6882, p. 559-570, BERLIN HEIDELBERG:Springer-Verlag, ISBN: 978-364223862-8, ISSN: 0302-9743, Kaiserslautern, Germany, September 12-14, 2011, doi: 10.1007/978-3-642-23863-5_57 PDF
IC.50 2011 MALERBA D, CECI M, APPICE A (2011). Relational Mining in Spatial Domains: Accomplishments and Challenges. In: KRYSZKIEWICZ M., RYBINSKI H., SKOWRON A., RAS Z. W.. Foundations of Intelligent Systems - 19th International Symposium, ISMIS 2011. . LECTURE NOTES IN COMPUTER SCIENCE, vol. 6804, p. 16-24, BERLIN:Springer, ISBN: 978-364221915-3, ISSN: 0302-9743, Warsaw, Poland, June 28-30, 2011, doi: 10.1007/978-3-642-21916-0_2 PDF
IC.49 2010 LOGLISCI C, CECI M, MALERBA D (2010). A Relational Approach for Discovering Frequent Patterns with Disjunctions. In: TORBEN BACH PEDERSEN AND MUKESH K. MOHANIA AND A MIN TJOA. Data Warehousing and Knowledge Discovery, 12th International Conference, DAWAK 2010. LECTURE NOTES IN COMPUTER SCIENCE, vol. 6263, p. 263-274, BERLIN:Springer, ISBN: 978-364215104-0, ISSN: 0302-9743, Bilbao, Spain, August/September 2010, doi: 10.1007/978-3-642-15105-7_21 PDF
IC.48 2010 CECI M, APPICE A, LOGLISCI C, MALERBA D (2010). Complex objects ranking: a relational data mining approach. In: Proceedings of the 2010 ACM Symposium on Applied Computing. p. 1071-1077, New York:ACM, ISBN: 978-160558638-0, Sierre, Switzerland, 22-26 March, 2010, doi: 10.1145/1774088.1774311 PDF
IC.47 2010 APPICE A, CECI M, LOGLISCI C (2010). Discovering Informative Syntactic Relationships between Named Entities in Biomedical Literature. In: The Second International Conference on Advances in Databases, Knowledge, and Data Applications, DBKDA 2010. p. 120-125, NEW YORK:IEEE Computer Society, ISBN: 978-076953981-2, Menuires, France, 11-16 April 2010, doi: 10.1109/DBKDA.2010.14 PDF
IC.46 2010 LOGLISCI C, CECI M, MALERBA D (2010). Mining Physiological Data for Discovering Temporal Patterns on Disease Stages. In: HELDER COELHO, RUDI STUDER, MICHAEL WOOLDRIDGE. ECAI 2010 - 19th European Conference on Artificial Intelligence. FRONTIERS IN ARTIFICIAL INTELLIGENCE AND APPLICATIONS, vol. 215, p. 1117-1118, Amsterdam:IOS Press, ISBN: 978-160750605-8, ISSN: 0922-6389, Lisbona, Portogallo, 16-20 Agosto 2010, doi: 10.3233/978-1-60750-606-5-1107 PDF
IC.45 2010 CECI M, APPICE A, MALERBA D (2010). Time-Slice Density Estimation for Semantic-Based Tourist Destination Suggestion. In: HELDER COELHO, RUDI STUDER, MICHAEL WOOLDRIDGE. ECAI 2010 - 19th European Conference on Artificial Intelligence. FRONTIERS IN ARTIFICIAL INTELLIGENCE AND APPLICATIONS, vol. 215, p. 1107-1108, IOS Press, ISBN: 978-160750605-8, ISSN: 0922-6389, Lisbona, Portogallo, 16-20 Agosto 2010, doi: 10.3233/978-1-60750-606-5-1107 PDF
IC.44 2010 CECI M (2010). Transductive Learning from Textual Data with Relevant Example Selection. In: PABLO GARCIA BRINGAS AND ABDELKADER HAMEURLAIN AND GERALD QUIRCHMAYR. Database and Expert Systems Applications, 21th International Conference, DEXA 2010. LECTURE NOTES IN COMPUTER SCIENCE, vol. 6262, p. 470-484, BERLIN:Springer, ISBN: 978-364215250-4, ISSN: 0302-9743, Bilbao (Spain), 30 August 2010 - 3 September 2010, doi: 10.1007/978-3-642-15251-1_37 PDF
IC.43 2010 APPICE A, CECI M, MALERBA D (2010). Transductive learning for spatial regression with co-training. In: Helder Coelho, Rudi Studer, Michael Wooldridge. SAC '10: Proceedings of the 2010 ACM Symposium on Applied Computing. p. 1065-1070, New York:ACM, ISBN: 978-1-60558-639-7, Sierre, Switzerland, 22-26 March, 2010, doi: 10.1145/1774088.1774310 PDF
IC.42 2009 C. LOGLISCI, CECI M, D. MALERBA (2009). A Knowledge-Based Framework for Information Extraction from Clinical Practice Guidelines. In: JAN RAUCH, ZBIGNIEW W. RAS, PETR BERKA, TAPIO ELOMAA. Foundations of Intelligent Systems, 18th International Symposium, ISMIS 2009. LECTURE NOTES IN COMPUTER SCIENCE, vol. 5722, p. 119-128, BERLIN:Springer, ISBN: 978-3-642-04124-2, ISSN: 0302-9743, Prague, Czech Republic, September 14-17, 2009, doi: 10.1007/978-3-642-04125-9_15 PDF
IC.41 2009 A. APPICE, CECI M, D. MALERBA (2009). An Iterative Learning Algorithm for Within-Network Regression in the Transductive Setting. In: JOAO GAMA, VICTOR SANTOS COSTA, ALPIO MRIO JORGE, PAVEL BRAZDIL. Discovery Science, 12th International Conference, DS 2009. LECTURE NOTES IN COMPUTER SCIENCE, vol. 5808, p. 36-50, BERLIN:Springer, ISBN: 978-3-642-04746-6, ISSN: 0302-9743, Porto, Portugal, October 3-5, 2009, doi: 10.1007/978-3-642-04747-3_6 PDF
IC.40 2009 CECI M, A. APPICE, C. LOGLISCI, C. CARUSO, F. FUMAROLA, D. MALERBA (2009). Novelty Detection from Evolving Complex Data Streams with Time Windows. In: JAN RAUCH, ZBIGNIEW W. RAS, PETR BERKA, TAPIO ELOMAA. Foundations of Intelligent Systems, 18th International Symposium, ISMIS 2009. LECTURE NOTES IN COMPUTER SCIENCE, vol. 5722, p. 563-572, BERLIN:Springer, ISBN: 978-3-642-04124-2, ISSN: 0302-9743, Prague, Czech Republic, September 14-17, 2009, doi: 10.1007/978-3-642-04125-9_59 PDF
IC.39 2009 CECI M, A. APPICE, C. LOGLISCI, C. CARUSO, F. FUMAROLA, C. VALENTE, D. MALERBA (2009). Relational Frequent Patterns Mining for Novelty Detection from Data Streams. In: P. PERNER. Machine Learning and Data Mining in Pattern Recognition, 6th International Conference. LECTURE NOTES IN COMPUTER SCIENCE, vol. 5632, p. 427-439, BERLIN:Springer, ISBN: 978-3-642-03069-7, ISSN: 0302-9743, Leipzig, Germany, July 23-25, 2009, doi: 10.1007/978-3-642-03070-3_32 PDF
IC.38 2008 TURI A, APPICE A, CECI M, MALERBA D (2008). A Grid-Based Multi-relational Approach to Process Mining. In: BHOWMICK S.S., KUNG J., WAGNER R.. Database and Expert Systems Applications, DEXA 2008. LECTURE NOTES IN COMPUTER SCIENCE, vol. 5181, p. 701-709, BERLINO:Springer Verlag, ISBN: 978-3-540-85653-5, ISSN: 0302-9743, Turin, Italy, September 1-5, 2008, doi: 10.1007/978-3-540-85654-2_61 PDF
IC.37 2008 CECI M, APPICE A. CARUSO C, MALERBA D (2008). Discovering Emerging Patterns for Anomaly Detection in Network Connection Data. In: AN A.,MATWIN S.,RAS Z.W., SLEZAK D.. Foundations of Intelligent Systems, ISMIS 2008. LECTURE NOTES IN COMPUTER SCIENCE, vol. 4994, p. 179-188, BERLINO:Springer Verlag, ISBN: 978-3-540-68122-9, ISSN: 0302-9743, Toronto, Canada, May 20-23, 2008, doi: 10.1007/978-3-540-68123-6_20 PDF
IC.36 2008 CECI M, APPICE A, MALERBA D (2008). Emerging Pattern Based Classification in Relational Data Mining. In: BHOWMICK S.S., KUNG J., WAGNER R.. Database and Expert Systems Applications, DEXA 2008. LECTURE NOTES IN COMPUTER SCIENCE, vol. 5181, p. 283-296, BERLINO:Springer Verlag, ISBN: 978-3-540-85653-5, ISSN: 0302-9743, Turin, Italy, September 1-5, 2008, doi: 10.1007/978-3-540-85654-2_28 PDF
IC.35 2008 CECI M (2008). Hierarchical Text Categorization in a Transductive Setting. In: IEEE International Conference on Data Mining Workshops. p. 184-191, Los Alamitos, CA:IEEE Computer Society, ISBN: 978-0-7695-3503-6, Pisa, Italy, 15th-19th December 2008, doi: 10.1109/ICDMW.2008.126 PDF
IC.34 2008 APPICE A, CECI M, MALERBA D, SAPONARA S (2008). Stepwise Induction of Logistic Model Trees. In: AN A., MATWIN S., RAS Z. W., SLEZAK D.. Foundations of Intelligent Systems, ISMIS 2008. LECTURE NOTES IN COMPUTER SCIENCE, vol. 4994, p. 68-77, BERLINO:Springer Verlag, ISBN: 978-3-540-68122-9, ISSN: 0302-9743, Toronto, Canada, May 20-23, 2008, doi: 10.1007/978-3-540-68123-6_7 PDF
IC.33 2008 APPICE A, CECI M, MALERBA D (2008). Top-Down Induction of Relational Model Trees in Multi-instance Learning. In: ZELEZNY F., LAVRAC N.. Inductive Logic Programming, ILP 2008. LECTURE NOTES IN COMPUTER SCIENCE, vol. 5194, p. 24-41, BERLINO:Springer Verlag, ISBN: 978-3-540-85927-7, ISSN: 0302-9743, Prague, Czech Republic,, September 10-12, 2008, doi: 10.1007/978-3-540-85928-4 PDF
IC.32 2007 CECI M, BERARDI M, PORCELLI G.A, AND MALERBA D (2007). A Data Mining approach to Reading Order Detection. In: 9th International Conference on Document Analysis and Recognition (ICDAR 2007). vol. 2, p. 924-928, NEW YORK:IEEE Computer Society, ISBN: 0-7695-2822-8, Curitiba, Brazil, 23-26 September 2007, doi: 10.1109/ICDAR.2007.4377050 PDF
IC.31 2007 CECI M, APPICE A, MALERBA D (2007). Discovering Emerging Patterns in Spatial Databases: A Multi-relational Approach. In: KOK J.N., KORONACKI J., LOPEZ DE MANTARAS R., MATWIN S., MLADENIC D., SKOWRON A. Knowledge Discovery in Databases: PKDD 2007. LECTURE NOTES IN COMPUTER SCIENCE, vol. 4702, p. 390-397, BERLINO:Springer Verlag, ISBN: 978-3-540-74975-2, ISSN: 0302-9743, Warsaw, Poland, September 17-21, 2007, doi: 10.1007/978-3-540-74976-9_38 PDF
IC.30 2007 APPICE A, CECI M, MALGIERI C, MALERBA D (2007). Discovering Relational Emerging Patterns. In: BASILI R., PAZIENZA M.T.. AI*IA 2007: Artificial Intelligence and Human-Oriented Computing. LECTURE NOTES IN COMPUTER SCIENCE, vol. 4733, p. 206-217, BERLINO:Springer Verlag, ISBN: 978-3-540-74781-9, ISSN: 0302-9743, Rome, Italy, September 10-13, 2007, doi: 10.1007/978-3-540-74782-6_19 PDF
IC.29 2007 APPICE A, BARILE N, CECI M, MALERBA D, SINGH R.P (2007). Mining Geo-Spatial Data in a Transductive Setting. In: A. ZANASI, C.A. BREBBIA, N.F.F. EBECKEN. Data Mining VIII: data, text and web mining and their business applications. WIT TRANSACTIONS ON INFORMATION AND COMMUNICATION TECHNOLOGIES, p. 141-149, SOUTHAMPTON:WIT Press, ISBN: 978-1-84564-081-1, ISSN: 1743-3517, New Forest, UK, 18 - 20 June 2007, doi: 10.2495/DATA070141 PDF
IC.28 2007 CECI M, APPICE A, BARILE N, MALERBA D (2007). Transductive Learning from Relational Data. In: PERNER P.. Machine Learning and Data Mining in Pattern Recognition, 5th International Conference, MLDM 2007. LECTURE NOTES IN COMPUTER SCIENCE, vol. 4571, p. 324-338, BERLIN HEIDELBERG:Springer-Verlag, ISBN: 978-3-540-73498-7, ISSN: 0302-9743, Leipzig, Germany, July 18-20, 2007, doi: 10.1007/978-3-540-73499-4_25 PDF
IC.27 2006 A. APPICE, CECI M (2006). Mining Tolerance Regions with Model Trees. In: ESPOSITO F., RAS Z.W., MALERBA D., SEMERARO G.. Methodologies For Intelligent Systems, ISMIS 2006. LECTURE NOTES IN COMPUTER SCIENCE, vol. 4203, p. 560-569, BERLIN:Springer, ISBN: 978-3-540-45764-0, ISSN: 0302-9743, Bari, September 27-29, 2006, doi: 10.1007/11875604_63 PDF
IC.26 2006 CECI M, APPICE A, MALERBA D, BARILE N (2006). TRANS-SC: a Transductive Structural Classifier. In: 6th International Conference on Inductive Logic Programming, ILP 2006. p. 40-45, CORUNA:UDC Press Service, ISBN: 84-9749-206-4, SANTIAGO DE COMPOSTELA: University of Corunna (SPAIN) PDF
IC.25 2005 BERARDI M, CECI M, MALERBA D (2005). A Hybrid Strategy for Knowledge Extraction from Biomedical Documents. In: S. Marinai, H. Fujisawa. Neural Networks and Learning in Document Analysis and Recognition. p. 18-22, Seoul, Korea, 29th August 2005 PDF
IC.24 2005 BERARDI M, ALTAMURA O, CECI M, MALERBA D (2005). A color-based layout analysis to process censorship cards of film archives. In: 8th International Conference on Document Analysis and Recognition ICDAR 2005. p. 1110-1114, Los Alamitos, CA:IEEE Computer Society, ISBN: 0-7695-2420-6, Seoul, Korea, 29 August - 1 September 2005, doi: 10.1109/ICDAR.2005.2 PDF
IC.23 2005 MALERBA D, CECI M, APPICE A (2005). Mining Model Trees from Spatial Data. In: A. JORGE, L. TORGO, P. BRAZDIL, R. CAMACHO, J. GAMA. Knowledge Discovery in Databases: PKDD 2005. LECTURE NOTES IN COMPUTER SCIENCE, vol. 3721, p. 169-180, BERLINO:Springer Verlag, ISBN: 3-540-29244-6, ISSN: 0302-9743, Porto, Portugal, October 2005, doi: 10.1007/11564126_20 PDF
IC.22 2005 APPICE A, CECI M, MALERBA D (2005). Mining Relational Association Rules for Propositional Classification. In: S. BANDINI, S. MANZONI. AI*IA 2005: Advances in Artificial Intelligence. LECTURE NOTES IN COMPUTER SCIENCE, vol. 3673, p. 522-534, BERLINO:Springer Verlag, ISBN: 3-540-29041-9, ISSN: 0302-9743, Milan, Italy, September 21-23, 2005, doi: 10.1007/11558590_53 PDF
IC.21 2005 APPICE A, BERARDI M, CECI M, MALERBA D (2005). Mining and filtering multi-level spatial association rules with ARES. In: M.-S. HACID, N.V. MURRAY, Z.W. RAS, S. TSUMOTO. Foundations of Intelligent Systems, 15th International Symposium, ISMIS'2005. LECTURE NOTES IN COMPUTER SCIENCE, vol. 3488, p. 342-353, BERLINO:Springer Verlag, ISBN: 3-540-25878-7, ISSN: 0302-9743, Saratoga Springs, NY, USA, May 25-28, 2005, doi: 10.1007/11425274_36 PDF
IC.20 2005 CECI M, BERARDI M, MALERBA D (2005). Relational Learning techniques for Document Image Understanding: Comparing Statistical and Logical approaches. In: 8th International Conference on Document Analysis and Recognition ICDAR 2005. p. 473-477, Los Alamitos, CA:IEEE Computer Society, ISBN: 0-7695-2420-6, Seoul, Korea, 29 August - 1 September 2005, doi: 10.1109/ICDAR.2005.201 PDF
IC.19 2005 CECI M, BERARDI M, MALERBA D (2005). Relational Learning: Statistical approach versus logical approach in Document Image Understanding. In: S. BANDINI, S. MANZONI. AI*IA 2005: Advances in Artificial Intelligence. LECTURE NOTES IN COMPUTER SCIENCE, vol. 3673, p. 418-429, BERLINO:Springer Verlag, ISBN: 3-540-29041-9, ISSN: 0302-9743, Milan, Italy, September 21-23, 2005, doi: 10.1007/11558590_42 PDF
IC.18 2004 ESPOSITO F, MALERBA D, SEMERARO G, FERILLI S, ALTAMURA O, BASILE T M A, BERARDI M, CECI M, DI MAURO N (2004). Machine learning methods for automatically processing historical documents: from paper acquisition to XML transformation. In: Proceedings - First International Workshop on Document Image Analysis for Libraries - DIAL 2004. p. 328-335, Los Alamitos CA:IEEE Computer Society, Los Alamitos CA (USA), ISBN: 0-7695-2088-X, Palo Alto, CA, USA, 23-24 January 2004, doi: 10.1109/DIAL.2004.1263262 PDF
IC.17 2004 APPICE A., CECI M, RAWLES S., FLACH P. (2004). Redundant Feature Elimination for Multi-Class Problems. In: Greiner R., Schuurmans D.. Twenty-First International Conference on Machine Learning, ICML 2004. p. 33-40, New York:ACM, ISBN: 1-58113-838-5, Banff, Canada, 4 July 2004- 8 July 2004, doi: 10.1145/1015330.1015397 PDF
IC.16 2004 CECI M, APPICE A., MALERBA D. (2004). Spatial Associative Classification at Different Levels of Granularity: A Probabilistic Approach. In: J.-F. BOULICAUT, F. ESPOSITO, F. GIANNOTTI, D. PEDRESCHI. 8th European Conference on Principles and Practice of Knowledge Discovery in Databases PKDD 2004. LECTURE NOTES IN COMPUTER SCIENCE, vol. 3202, p. 99-111, BERLIN:Springer, ISBN: 3-540-23108-0, ISSN: 0302-9743, Pisa, Italy, September 20-24, 2004, doi: 10.1007/978-3-540-30116-5_12 PDF
IC.15 2003 CECI M, ESPOSITO F., LAPI M., MALERBA D. (2003). Automated Classification of Web Documents into a Hierarchy of Categories. In: KLOPOTEK M.A., WIERZCHON S.T., TROJANOWSKI K.. Intelligent Information Processing and Web Mining. ADVANCES IN SOFT COMPUTING, p. 59-68, BERLIN:Springer, ISBN: 3-540-00843-8, ISSN: 1615-3871, Zakopane, Poland, June 2-5, 2003 PDF
IC.14 2003 CECI M, APPICE A., MALERBA D. (2003). Comparing Simplification Methods for Model Trees with Regression and Splitting Nodes. In: ZONG N., RAS Z.W., TSUMOTO S., SUZUKI E.. Foundations of Intelligent Systems, 14th International Symposium, ISMIS'2003. LECTURE NOTES IN COMPUTER SCIENCE, vol. 2871, p. 49-56, BERLIN:Springer, ISBN: 3-540-20256-0, ISSN: 0302-9743, Maebashi City, Japan, October 28-31, 2003, doi: 10.1007/978-3-540-39592-8_8 PDF
IC.13 2003 MALERBA D., ESPOSITO F., ALTAMURA O., CECI M, BERARDI M. (2003). Correcting the Document Layout: A Machine Learning Approach. In: 7th International Conference on Document Analysis and Recognition (ICDAR 2003). p. 97-102, Los Alamitos, CA (USA):IEEE Computer Society Press, Los Alamitos, CA (USA)., ISBN: 0-7695-1960-1, doi: 10.1109/ICDAR.2003.1227635 PDF
IC.12 2003 FROMMHOLZ I., BROCKS H., THIEL U., NEUHOLD E., IANNONE L., SEMERARO G., BERARDI M., CECI M (2003). Document-Centered Collaboration for Scholars in the Humanities - The COLLATE System. In: T. KOCH AND I.T. SLVBERG EDS.. Research and Advanced Technology for Digital Libraries. LECTURE NOTES IN COMPUTER SCIENCE, vol. 2769, p. 434-445, BERLIN HEIDELBERG:Springer-Verlag, ISBN: 978-3-540-40726-3, ISSN: 0302-9743, Trondheim, Norvegia, doi: 10.1007/978-3-540-45175-4_40 PDF
IC.11 2003 CECI M, MALERBA D. (2003). Hierarchical Classification of HTML Documents with WebclassII. In: SEBASTIANI F.. Advances in Information Retrieval. Proceedings. LECTURE NOTES IN COMPUTER SCIENCE, vol. 2633, p. 57-72, BERLIN:Springer, ISBN: 978-3-540-01274-0, ISSN: 0302-9743, Pisa, IT, 2003, doi: 10.1007/3-540-36618-0_5 PDF
IC.10 2003 BERARDI M., CECI M, ESPOSITO F., MALERBA D. (2003). Learning Logic Programs for Layout Analysis Correction. In: Proceedings of the Twentieth International Conference on Machine Learning (ICML 2003). p. 27-34, MENLO PARK, CA:AAAI Press, ISBN: 1-57735-189-4, Washington, DC, USA, August 21-24, 2003 PDF
IC.9 2003 APPICE A., CECI M, MALERBA D. (2003). Mining Model Trees: A Multi-relational Approach. In: HORVATH T., YAMAMOTO A.. Inductive Logic Programming ILP’03. LECTURE NOTES IN COMPUTER SCIENCE, vol. 2835, p. 4-21, BERLIN:Springer, ISBN: 3-540-20144-0, ISSN: 0302-9743, Szeged, Hungary, September 29-October 1, 2003, doi: 10.1007/978-3-540-39917-9_3 PDF
IC.8 2003 CECI M, APPICE A., MALERBA D. (2003). Mr-SBC: A multi-relational Naďve Bayes classifier. In: LAVRAC N., GAMBERGER D., TODOROVSKI L., BLOCKEEL H.. Knowledge Discovery in Databases: PKDD 2003, 7th European Conference on Principles and Practice of Knowledge Discovery in Databases. LECTURE NOTES IN COMPUTER SCIENCE, vol. 2838, p. 95-106, BERLIN:Springer, ISBN: 3-540-20085-1, ISSN: 0302-9743, Cavtat-Dubrovnik, Croatia, September 22-26, 2003, doi: 10.1007/978-3-540-39804-2_11 PDF
IC.7 2003 CECI M, APPICE A., MALERBA D., COLONNA V. (2003). Multi-relational Structural Bayesian Classifier. In: CAPPELLI A., TURINI F.. AI*IA 2003: Advances in Artificial Intelligence. LECTURE NOTES IN COMPUTER SCIENCE, vol. 2829, p. 250-261, BERLIN:Springer, ISBN: 3-540-20119-X, ISSN: 0302-9743, Pisa, Italy, 23/09/2003-26/09/2003, doi: 10.1007/978-3-540-39853-0_21 PDF
IC.6 2003 CECI M, APPICE A., MALERBA D. (2003). Simplification Methods for Model Trees with Regression and Splitting Nodes. In: PERNER P., ROSENFELD A.. Machine Learning and Data Mining in Pattern Recognition. LECTURE NOTES IN COMPUTER SCIENCE, vol. 2734, p. 20-34, BERLIN:Springer, ISBN: 3-540-40504-6, ISSN: 0302-9743, Leipzig, Germany, July 5-7, 2003, doi: 10.1007/3-540-45065-3_3 PDF
IC.5 2003 MALERBA D., CECI M, BERARDI M. (2003). XML and Knowledge Technologies for Semantic-Based Indexing of Paper Documents. In: V. MARK, W. RETSCHITZEGGER, O. STEPNKOV. Database and Expert Systems Applications, 14th International Conference, DEXA 2003. LECTURE NOTES IN COMPUTER SCIENCE, vol. 2736, p. 256-265, BERLIN:Springer, ISBN: 978-3-540-40806-2, ISSN: 0302-9743, Prague, Czech Republic, 1-5 September, 2003, doi: 10.1007/978-3-540-45227-0_26 PDF
IC.4 2002 LANZA A, MALERBA D, LISI F.A, APPICE A, CECI M (2002). Generating Logic Descriptions for the Automated Interpretation of Topographic Maps. In: BLOSTEIN D., KWON Y.-B.. Graphics Recognition: Algorithms and Applications. LECTURE NOTES IN COMPUTER SCIENCE, vol. 2390, p. 200-210, BERLINO:Springer Verlag, ISBN: 978-3-540-44066-6, ISSN: 0302-9743, Kingston, Ontario, Canada, 7-8 September 2001, doi: 10.1007/3-540-45868-9_17 PDF
IC.3 2002 APPICE A., CECI M, MALERBA D. (2002). KDB2000: An integrated knowledge discovery tool. In: ZANASI A., BREBBIA C.A., EBECKEN N.F.F., MELLI P.. Data Mining III. WIT TRANSACTIONS ON INFORMATION AND COMMUNICATION TECHNOLOGIES, vol. 6, p. 531-540, SOUTHAMPTON:WIT Press, ISBN: 1-85312-925-9, ISSN: 1743-3517, Bologna, Italy, 25-27 September 2002 PDF
IC.2 2002 MALERBA D., APPICE A., CECI M, MONOPOLI M. (2002). Trading-off Local versus Global Effects of Regression Nodes in Model Trees. In: HACID H.-S., RAS Z.W., ZIGHED D.A., KODRATOFF Y.. Foundations of Intelligent Systems, 13th International Symposium, ISMIS'2002. LECTURE NOTES IN COMPUTER SCIENCE, vol. 2366, p. 393-402, BERLIN:Springer, ISBN: 978-3-540-43785-7, ISSN: 0302-9743, Lyon, France, June 27-29, doi: 10.1007/3-540-48050-1_43 PDF
IC.1 2001 MALERBA D., APPICE A., BELLINO A., CECI M, PALLOTTA D. (2001). Stepwise Induction of Model Trees. In: ESPOSITO F.. AI*IA 2001: Advances in Artificial Intelligence. LECTURE NOTES IN COMPUTER SCIENCE, vol. 2175, p. 20-32, BERLIN:Springer, ISBN: 978-3-540-42601-1, ISSN: 0302-9743, Bari, Italy, Sept 2001, doi: 10.1007/3-540-45411-X_3 PDF
ID Year International workshops and National Conferences Link
WNCO.32 2014 Ceci m, Cassavia N, Corizzo R, Dicosta P, Malerba D, Maria G, Masciari E, Pastura C (2014). Big Data Techniques For Renewable Energy Market.. In: (a cura di): Greco S, Picariello A, 22nd Italian Symposium on Advanced Database Systems, SEBD 2014. p. 369-377, Sorrento, 16 - 18 Giugno PDF
WNCO.31 2014 Pio G, Ceci M, D'Elia D, Malerba D (2014). earning to Combine miRNA Target Predictions: a Semi-supervised Ensemble Learning Approach. In: Greco S, Picariello A. 22nd Italian Symposium on Advanced Database Systems, SEBD 2014. p. 21-28, Sorrento, 16 - 18 Giugno PDF
WNCO.30 2012 Ceci M, Coluccia M, Fumarola F, Guzzi P H, Mandreoli F, Martoglia R, Masciari E, Mecella M, Penzo W (2012). A Framework for Biological Data Normalization, Interoperability, and Mining for Cancer Microenvironment Analysis . In: Nicola Ferro, Letizia Tanca. Proceedings of the 20th Italian Symposium on Advanced Database Systems. p. 67-74, PADOVA:Edizioni Libreria Progetto, ISBN: 978-88-96477-23-6, Venezia PDF
WNCO.29 2012 PIO G, CECI M, MALERBA D (2012). Mining temporal evolution of criminal behaviors. In: Nicola Ferro, Letizia Tanca. Proceedings of the 20th Italian Symposium on Advanced Database Systems. p. 221-232, PADOVA:Edizioni Libreria Progetto, ISBN: 978-88-96477-23-6, Venezia PDF
WNCO.28 2011 LOGLISCI C, CECI M, APPICE A, MALERBA D (2011). Relational Disjunctive Patterns Mining for Discovering Frequent Variants in Process Models. In: Proceedings of the Nineteenth Italian Symposium on Advanced Database Systems (SEBD 2011). p. 226-237, Maratea, PZ, 26- 29 giugno 2011 PDF
WNCO.27 2011 CECI M, CUZZOCREA A, MALERBA D (2011). Supporting Roll-Up and Drill-Down Operations over OLAP Data Cubes with Continuous Dimensions via Density-Based Hierarchical Clustering. In: Proceedings of the Nineteenth Italian Symposium on Advanced Database Systems (SEBD 2011). p. 57-65, Maratea, PZ, 26- 29 giugno 2011 PDF
WNCO.26 2010 LOGLISCI C, CECI M, MALERBA D (2010). Discovering Temporal Patterns of Complex Events in Biosignal Data. In: Sonia Bergamaschi, Stefano Lodi, Riccardo Martoglia, Claudio Sartori. Proceedings of the Eighteenth Italian Symposium on Advanced Database Systems, SEBD 2010. p. 306-317, BOLOGNA:Esculapio, ISBN: 978-88-7488-369-1, Rimini, Italy, June 20-23, 2010 PDF
WNCO.25 2010 CECI M, LANOTTE P. F (2010). Hierarchical Transductive Classification from Textual Data with Relevant Example Selection. In: Sonia Bergamaschi, Stefano Lodi, Riccardo Martoglia, Claudio Sartori. Proceedings of the Eighteenth Italian Symposium on Advanced Database Systems, SEBD 2010. p. 158-169, BOLOGNA:Esculapio, ISBN: 978-88-7488-369-1, Rimini, Italy, June 20-23, 2010 PDF
WNCO.24 2010 CECI M, APPICE A, MALERBA D, SCHIRONE N, TRAVERSA N.D, VALROSSO V (2010). Suggesting Tourist Destinations by means of Time-Slice Density Estimation. In: Sonia Bergamaschi, Stefano Lodi, Riccardo Martoglia, Claudio Sartori. Proceedings of the Eighteenth Italian Symposium on Advanced Database Systems, SEBD 2010. p. 94-105, BOLOGNA:Esculapio, ISBN: 978-88-7488-369-1, Rimini, Italy, June 20-23, 2010 PDF
WNCO.23 2009 A. APPICE, CECI M, C. LOGLISCI, C. CARUSO, F. FUMAROLA, M. TODARO, D. MALERBA (2009). A Relational Approach to Novelty Detection in Data Streams. In: Proceedings of the Seventeenth Italian Symposium on Advanced Database Systems (SEBD 2009). p. 89-100, Seneca Edizioni, ISBN: 978-88-6122-154-3, Camogli (GE), 21-24 Giugno 2009 PDF
WNCO.22 2009 CECI M, A. APPICE, G. DE GIOSA, G. DILEO, A. LALLO, D. MALERBA (2009). Mining preference relations to rank complex object. In: Proceedings of the Seventeenth Italian Symposium on Advanced Database Systems (SEBD 2009). p. 313-324, Seneca Edizioni, ISBN: 978-88-6122-154-3, Camogli (GE), 21-24 Giugno 2009 PDF
WNCO.21 2009 A. APPICE, CECI M, V. RIZZI, M. ROMANO, D. MALERBA (2009). Spatial Regression in the Transductive Setting. In: Proceedings of the Seventeenth Italian Symposium on Advanced Database Systems (SEBD 2009). p. 297-304, TORINO:Seneca Edizioni, ISBN: 978-88-6122-154-3, Camogli (GE), 21-24 Giugno 2009 PDF
WNCO.20 2008 TURI A, APPICE A, CECI M, MALERBA D (2008). Discovering Process Models: a multi-Relational Approach. In: 2nd International Workshop on Induction of Process Models, IPM 2008 in conjunction with ECMLPKDD 2008. Antwerp (Belgio), 15 Settembre 2008 PDF
WNCO.19 2008 TURI A, APPICE A, CECI M, MALERBA D (2008). Distributed Discovery of Multi-Level Approximate Process Patterns. In: Salvatore Gaglio, Ignazio Infantino, Domenico Saccŕ. SEBD 2008 - Sixteenth Italian Symposium on Advanced Database Systems. p. 57-68, Mondello(Italy), 22-25 Giugno PDF
WNCO.18 2008 CECI M, APPICE A, MACCHIA L, MALERBA D (2008). Relational Classification based on Emerging Patterns. In: Salvatore Gaglio, Ignazio Infantino, Domenico Saccŕ.. SEBD 2008 - Sixteenth Italian Symposium on Advanced Database Systems. p. 45-56, Mondello(Italy), 22-25 Giugno PDF
WNCO.17 2008 APPICE A, CECI M, TURI A, MALERBA D (2008). Sampling Very Large Databases for Parallel and Distributed Relational Frequent Pattern Discovery. In: First International Workshop on Ubiquitous Knowledge Discovery, UKD 2008 in conjunction with ECMLPKDD 2008. Antwerp (Belgio), 19 Settembre 2008 PDF
WNCO.16 2007 MALERBA D, CECI M (2007). Learning to order basic components of structured complex objects. In: . Proceedings of the ECML/PKDD 07 workshop on “Mining Complex Data”. p. 83-94, Warsaw PDF
WNCO.15 2006 CECI M, MALERBA D (2006). Relational Data Mining Techniques for Historical Document Processing. In: SEBD 2006 - Fourteenth Italian Symposium on Advanced Database Systems June, 18-21, 2006. p. 309-320, ANCONA:Pequod, ISBN: 88-6068-018-2, Ancona (Italy), June, 18-21, 2006 PDF
WNCO.14 2005 BERARDI M., APPICE A., CECI M, MALERBA D. (2005). Mining spatial data: discovery of spatial association rules with ARES. In: P. Brito & M. Noirhomme . Proceedings of the ECML/PKDD 04 workshop on “Symbolic and Spatial Data Analysis: Mining Complex Data. p. 31-42, Porto, Portugal PDF
WNCO.13 2005 CECI M, APPICE A, MALERBA D (2005). Propositionalization Through Relational Association Rules Mining. In: Andrea Calě, Diego Calvanese, Enrico Franconi, Maurizio Lenzerini, Letizia Tanca . SEBD 2005 - 13th Italian Symposium on Advanced Database Systems. p. 125-136, ROMA:Aracne, ISBN: 88-548-0122-4, Bressanone (Bolzano), Italy, June 2005 PDF
WNCO.12 2005 CECI M, APPICE A (2005). Spatial Associative Classification: Propositional vs. Structural approach. In: Proceedings of the ECML/PKDD 04 workshop on “Workshop on Mining Spatio temporal Data”. Porto, Portugal PDF
WNCO.11 2004 MALERBA D., CECI M, LAPI M., ALTINI G. (2004). A new thresholding algorithm for hierarchical text classification. In: Proceesings of the ECML/PKDD Workshop on Statistical Approaches for Web Mining (SAWM). p. 62-74, Pisa, Italy, 20 September 2004 PDF
WNCO.10 2004 APPICE A., BERARDI M., CECI M, LAPI M., MALERBA D., TURI A. (2004). Mining interesting spatial association rules: two case studies. In: Maristella Agosti, Nicoletta Dessě, Fabio A. Schreiber. Proceedings of the Twelfth Italian Symposium on Advanced Database Systems, SEBD 2004,. p. 86-97, CAGLIARI:Lithosgrafiche, ISBN: 88-901409-1-7, S. Margherita di Pula, Cagliari, Italy, June 21-23 2004 PDF
WNCO.9 2003 APPICE A, CECI M, MALERBA D (2003). MR-SMOTI: A Data Mining System for Regression Tasks Tightly-Coupled with a Relational Database. In: Jean-François Boulicaut, Saso Dzeroski. Proceedings of the Second International Workshop on Inductive Databases. p. 17-27, Zagreb:Rudjer Boskovic Institute, ISBN: 953-6690-34-9, Cavtat-Dubrovnik, Croazia. PDF
WNCO.8 2003 APPICE A., CECI M, ESPOSITO F., MALERBA D. (2003). Mining Model Trees with Regression and Splitting Nodes. In: Sergio Flesca, Sergio Greco, Domenico Saccŕ, Ester Zumpano. Proceedings of the Eleventh Italian Symposium on Advanced Database Systems, SEBD 2003. p. 495-506, SOVERIA MANNELLI (CZ):Il Rubettino Editore, ISBN: 88-498-0629-9, Cetraro (CS), Italy, June 24-27 PDF
WNCO.7 2003 CECI M, M. BERARDI, MALERBA D. (2003). Mining association rules in document images. In: Dunja Mladenic, Gerhard Paass. Mutimedia Discovery and Mining. p. 7-18, ISBN: 953-6690-32-2 PDF
WNCO.6 2003 BERARDI M., CECI M, MALERBA D. (2003). Mining spatial association rules from document layout structures. In: Proc. of the 3rd Workshop on Document Layout Interpretation and its Application (DLIA 2003). p. 9-13 PDF
WNCO.5 2003 APPICE A., CECI M, MALERBA D., SACCHI D. (2003). Stepwise Model Tree Induction in a Multi-Relational Framework. In: Proceedings of the Eleventh Italian Symposium on Advanced Database Systems, SEBD 2003. p. 281-292, SOVERIA MANNELLI:Rubbettino, ISBN: 88-498-0629-9, Cetraro (CS), Italy, June 24-27 PDF
WNCO.4 2002 APPICE A., CECI M, MALERBA D. (2002). KDB2000: Uno strumento per la scoperta della conoscenza nelle basi di dati. In: Atti del Decimo Convegno Nazionale su Sistemi Evoluti per Basi di Dati SEBD’2002. p. 417-421, Giugno 2002 PDF
WNCO.3 2002 MALERBA D., APPICE A., CECI M, VACCA N. (2002). Mining Classification and Association Rules in Geographical Data with SDMOQL. In: Atti del Decimo Convegno Nazionale su Sistemi Evoluti per Basi di Dati SEBD’2002. p. 251-264, Giugno 2002 PDF
WNCO.2 2002 MALERBA D., ESPOSITO F., CECI M (2002). Mining HTML Pages to Support Document Sharing in a Cooperative System. In: Proc. of the 2nd International Workshop on Multimedia Data and Document Engineering (MDDE'02). March 25-27 PDF
WNCO.1 2002 CECI M, APPICE A., MALERBA D. (2002). Simplifying Model Trees with Regression and Splitting Nodes. In: Workshop AI*IA su “Apprendimento Automatico”. Siena, Italy, 10-13 Settembre 2002 PDF
ID Year Abstracts/International communications  
CA.2 2012 Stojanova D, Ceci M, Malerba D, Džeroski S (2012). Using PPI Networks in Hierarchical Multi-label Classification Trees for Gene Function Prediction. In: (a cura di): Borgwardt K, Rätsch G, Machine Learning in Systems Biology. p. 10, Basel, Switzerland, 08 - 09 September 2013  
CA.1 2005 ATTIMONELLI M, CASCIONE I, SANTAMARIA M, ACCETTURO M, LASCARO D, BERARDI M, CECI M, LOGLISCI C, MALERBA D (2005). A data mining approach to retrieve mitochondrial variability data associated to clinical phenotypes. In: Meeting of the Bioinformatic Italian Society, BITS 2005, Proceedings. Milan, Italy, March 2005  
ID Year Books/proccedings   
CU.7 2014 Appice A, Ceci M, Loglisci C, Manco G, Masciari E, Ras Z W (a cura di) (2014). New Frontiers in Mining Complex Patterns - Second International Workshop, NFMCP 2013, Held in Conjunction with ECML-PKDD 2013, Prague, Czech Republic, September 27, 2013, Revised Selected Papers. LECTURE NOTES IN COMPUTER SCIENCE, vol. 8399, BERLIN HEIDELBERG:Springer-Verlag, ISBN: 978-3-319-08406-0, ISSN: 0302-9743, doi: 10.1007/978-3-319-08407-7  
CU.6 2013 Appice A, Ceci M, Loglisci C, Manco G, Masciari E, Ras Z W (a cura di) (2013). New Frontiers in Mining Complex Patterns First International Workshop, NFMCP 2012, Held in Conjunction with ECML/PKDD 2012, Bristol, UK, September 24, 2012, Rivesed Selected Papers. LECTURE NOTES IN COMPUTER SCIENCE, BERLIN HEIDELBERG:Springer-Verlag, ISBN: 978-3-642-37381-7, ISSN: 0302-9743, doi: 10.1007/978-3-642-37382-4  
CU.5 2012 Appice A, Ceci M, Loglisci C, Manco G, Masciari E, Ras Z (a cura di) (2012). Proc. of the ECMLPKDD 2012 workshop on "New Frontiers on Mining Complex Patterns".  
CU.4 2011 APPICE A, CECI M, LOGLISCI C, MANCO G (a cura di) (2011). Proc. of the AI*IA Workshop on Mining Complex Patterns (MCP 2011) .  
CU.3 2007 MALERBA D, APPICE A, CECI M (a cura di) (2007). ECML/PKDD 2007 Workshop on “Multi Relational Data Mining”.  
CU.2 2007 CECI M, MALERBA D, TANCA L (a cura di) (2007). Proceedings of the Fifteenth Italian Symposium on Advanced Database Systems, SEBD 2007. BARI:DIB - Dip. di Informatica, Universitŕ di Bari, ISBN: 978-88-902981-0-3  
CU.1 2004 GORI M, CECI M, NANNI M (a cura di) (2004). Proceedings of the ECML/PKDD 2004 Workshop on “Statistical Approaches for Web Mining”.