Michelangelo Ceci's

Home Page 

  
Research Interests: Analysis and synthesis ofalgorithms for inductive inference: classification and regressiontrees. Applications include document engineering, knowledge discoveryin databases and data mining, Web mining, map interpretation andspatial data mining. 
 

Michelangelo Ceci
PhD, Assistant Professor


Ricevimento studenti: gio 11.00-13.00

Dipartimentodi Informatica 
Università degli Studi di Bari 
Via Orabona 4 
70126 Bari - Italy 
Room 512 (fifth floor)

phone: +39 080 5442312 
fax: +39 080 5443269  


email:


LACAMlab.

 

  

 

 

 

 

 

CurriculumVitae et Studiorum

 

Michelangelo Ceci received a "laurea"degree with full marks and honors in Informatics from the University of Bari (March 2001). He discussed a thesis on "Knowledgediscovery in relational database: design and implementation of theclassification package in KDB2000".

Following graduation, he kept on making research inmachine learning and data mining in the Knowledge Acquisition andMachine Learning Laboratory (LACAM), Department of Informatics of theUniversity of Bari. He is currently/has been involved in thefollowing projects:

·         IST - 1999 -10536 project SPIN! "Spatial Mining on data of Public Interest"

·         MURST COFIN -1999 project on " ModelliStatistici di Classificazione e di Segmentazione per l'Analisi di DatiStrutturati in Forma Complessa: Metodologia, software e Applicazioni".

·         IST-1999-20882project Collate "Collaboratory forAutomation, Indexing and Retrieval of Digitized Historical ArchiveMaterial"

·         MURST 2002 Scoperta di conoscenzain basi di dati: metodi e tecniche efficienti e robuste per dati complessi

·         IST-1999-12641 project FAIRWIS(Trade Fair Web-based Information Services).

Since November 2001 he has been employed as PhDstudent under the supervision of Prof.Donato Malerba at the Department of Informatics, University ofBari. He defended his Ph.D. Thesis in 2004.

Since 2005 he has been employed as assistantprofessor at the Department of Informatics, University of Bari wherehe teaches in the courses of Programming Languages,Anvanced Computer Programming Methods e DataBases and Laboratory.

During the period November 2003 March2004 he collaborated as research student with the MachineLearning Research Group headed by prof. PeterFlach of the Department of Computer Science, University ofBristol (U.K.)

His mainresearch is in Knowledge Discovery from Databases primarily in thedevelopment of Data Mining algorithms for predictive tasks(classification and regression). In particular, he studies algorithmsfor the induction of statistical classifiers and model trees.Theoretical foundations of his research are in statistics and inlogic. Adopted technologies include Database technologies (Databaselanguages, indexing), multimedia technologies (images and textindexing, spatial data) and Internet (XML). Research applicationsinclude document analysis and understanding, map interpretation,web-documents classification.

 

Activities

 

Organizations

·         SAWM04Statistical Approaches to Web Mining co-locatedwith the 15th European Conference on Machine Learning (ECML) and the 8th European Conference on Principles and Practice of Knowledge Discovery in Databases (PKDD) (as co-chair)

·         15th Italian Symposium on Advanced Database Systems (SEBD-2007) (as organizing committee chair)

·         Multi-Relational Data Mining (MRDM 2007) co-locatedwith the 18th European Conference on Machine Learning (ECML) and the 11th European Conference on Principles and Practice of Knowledge Discovery in Databases (PKDD) (as co-chair)

Program committees

·        (IEEE) International Conference on Data Mining (ICDM 2008, ICDM 2011 )

·        European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML PKDD 2011, ECML PKDD 2012 )

·        SIAM International Conference on Data Mining ( SDM 2012 )

·        International Symposium on Methodologies for Intelligent Systems (ISMIS 2008, ISMIS 2009, ISMIS 2011, ISMIS 2012)

·        IEEE / WIC / ACM International Conferences on. WEB INTELLIGENCE (WI 2011)

·        Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD 2009)

·        International Conference on Database and Expert Systems Applications (DEXA 2009, DEXA 2010, DEXA 2011, DEXA 2012)

·        ACM Symposium on Applied Computing - Data Mining Track (SAC 2007, SAC 2008, SAC 2009, SAC 2010, SAC 2011, SAC 2012)

·        International Conference on Man-Machine Interactions (ICMMI 2011)

·        Italian Symposium on Advanced Database Systems (SEBD 2008, SEBD 2009, SEBD 2010)

·        International Conference Applied Computing 2006 (AC2006)

·        International Conference On Computational Intelligence (ICCI 2004)

·        Intelligent Systems and Agents (ISA2006, ISA2007, ISA2008, ISA2009, ISA 2010)

·        International Conference on Modelling and Simulation (MS 2006)

·        Data Mining & Information Engineering 2007 (DM 2007)

·        Workshop on Web Mining ( WebMine2006, WebMine2.0, WBBTMine2008)

·        e-Commerce conference (EC2006, EC2007, EC2008, EC2009, EC2009, EC2010)

·        International Workshop on Mining Complex Data (MCD'06, MCD'07, MCD'08)

·        Advances in Computer Science and Technology (ACST 2007, ACST 2008)

·        International Conference on Electronic Commerce and Web Technologies DEXA-EC WEB (EC WEB 2007, EC WEB 2008)

·        Artificial Intelligence and Applications (AIA 2008)

·        Italian Workshop on Eclipse Technologies (ECLIPSE-IT 2008)

·        International Conference on Advances in Computer Science and Engineering (ACSE 2009)

·        International Conference on e-Business (ICE-B 2009)

·        International Symposium on Programming and Systems  - Artificial Intelligence track (ISPS 2009).

·        International Conference on Advances in Databases, Knowledge, and Data Applications (DBKDA 2009, DBKDA 2010)

·        Workshop on Advanced Knowledge-based Systems @ KES 2009

·        International Conference on e-Business (ICE-b 2010)

·        International Conference on Advances in Computer Science and Engineering (ACSE 2010)

·        International Conference on Machine and Web Intelligence (ICMWI 2010)

·        International workshop on Mining Ubiquitous and Social Environments (MUSE 2010 @ ECML/PKDD 2010)

Associations

·         IASTED (International Association of Science andTechnology for Development) Technical Committee on Batabases.

·         AI*IA (Italian Association for Artificial Intelligence), the Italian chapter of ECCAI

·         Consorzio CINI

Editorial Committees

"Intelligenza Artificiale", the magazine of the Italian Association for Artificial Intelligence.

Journal Reviewing

·         Machine Learning Journal

·         ACM Transactions on Knowledge Discovery from Data

·         Applied Intelligence

·         Journal of Computational Intelligence

·         BMC Bioinformatics

·         International Journal of Document Analysis and Recognition (IJDAR)

·         Journal of Intelligent Information Systems (JIIS)

·         Data & Knowledge Engineering – Elsevier

·         Fundamenta Informaticae

·         Pattern Recognition Letters – Elsevier

·         Information Sciences (Elsevier)

·         International Journal of Data Mining, Modelling and Management" (IJDMMM)

Conference Reviewing

·         European Conference on Machine Learning (ECML 2002, ECML 2003, ECML 2004, ECML 2005, ECML 2006, ECML 2007)

·         European Conference on Principles and Practice of Knowledge Discovery in Databases (PKDD 2004, PKDD 2005, PKDD 2006, PKDD 2007)

·         European Conference on Machine Learning and European Conference on Principles and Practice of Knowledge Discovery in Databases (ECML/PKDD2008, ECML/PKDD2009, ECML/PKDD2010)

·         International Conference on Data Mining (ICDM 2005 , ICDM 2009)

·         International Joint Conference on Artificial Intelligence (IJCAI 2003, IJCAI 2007)

·         International Conference on Data Warehousing and Knowledge Discovery (DaWaK 2008)

·         International Conference on Machine Learning (ICML 2008)

·         International Symposium on Methodologies for Intelligent Systems (ISMIS 2002, ISMIS 2003, ISMIS 2005)

·         Italian Symposium on Advanced Database Systems (SEBD 2002, SEBD 2003, SEBD 2004, SEBD 2005, SEBD 2006)

·         New Trends in Intelligent Information Processing and Web Mining (IIPWM 2003)

·         IAPR International Conference on Machine Learning and Data Mining for Pattern Recognition (MLDM 2003, MLDM 2005)

·         European Conference on Artificial Intelligence (ECAI 2004, ECAI 2008, ECAI 2010)

·         Advances in Artificial Intelligence (AI*IA 2003)

·         Workshop on Document Layout Interpretation & Its Applications (DLIA 2003)

·         Workshop on Multi-Relational Data Mining (MRDM 2003, MRDM 2005)

·         ACM Symposium on Applied Computing - Special Track on Data Mining (DM 2004, DM 2005)

·         IAPR Workshop on Document Analysis Systems (DAS 2004)

·         Workshop on Statistical Approaches to Web Mining (SAWM 2004)

·         International Conference on Inductive Logic Programming (ILP 2004, ILP 2008, ILP 2009, ILP 2010)

·         International Conference on Industrial & Engineering Applications of Artificial Intelligence & Expert Systems (IEA/AIE 2005, IEA/AIE 2006, IEA/AIE 2010)

·         Software Engineering and Applications (SEA 2005)

·         Artificial Intelligence and Applications (AIA 2006)

·         SIAM Conference on Data Mining (SDM 2006)

·         International Conference of Pattern Recognition (ICPR2006)ICPR 2010

·         European Conference on Artificial Intelligence (ECAI 2006)

·         European Conference on Research and Advanced Tchnology for Digital Libraries (ECDL 2006)

·         International Conference on Document Analysis and Recognition (ICDAR 2007)

·         Artificial Intelligence and Applications (AIA 2007)

·         Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD 2007)

·         International Conference on Artificial Intelligence: Methodology, Systems, Applications (AIMSA 2008)

·         International Conference on Computational Statistics (CompStat 2008)

·         ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD2010)

·         Discovery Science (DS 2009)

·         Brazilian Symposium on Artificial Intelligence (SBIA 2008)

·         Pacific Rim International Conference on Artificial Intelligence (PRICAI 2008)

·         International Conference on Human System Interaction (HSI 2009)

·         International Conference on Conceptual Modeling (ER 2009)

·         International Conference on Intelligent Systems Design and Applications (ISDA 2009)

·         International Conference on Knowledge-Based and Intelligent Information & Engineering Systems (KES 2010)

·         AAAI Conference on Artificial Intelligence (AAAI-10)

·         SIAM Data Mining Conference (SDM 2009)

 

 

 

Publications

 Publicationslisted in DBLP

For more information, please do not hesitate to emailme.  

International Journals

·         [IJ.8] A. Appice, M.Ceci, A. Turi, D. Malerba, (2009). A Parallel, Distributed Algorithm for Relational Frequent Pattern Discovery from Very Large Data Sets. Intelligent Data Analysis (Accepted).

·         [IJ.7] D. Malerba, M. Ceci, A. Appice (2009). A Relational Approach to Probabilistic Classification in a Transductive Setting.. Journal of Engineering Application of Artificial Intelligence (EAAI), special issue on Machine Learning and Data Mining. Elsevier, 22(1), 109-116.

·         [IJ.6] M. Ceci, M. Berardi, D. Malerba.(2007) Relational Data Mining and ILP for Document Image Understanding. Applied Artificial Intelligence.Taylor & Francis. 21(4,5), 317-342.

·         [IJ.5] O. Altamura, M. Berardi,M.Ceci, D. Malerba, A. Varlaro (2007). Using color information tounderstand censorship cards of film archives. SpecialIssue on Analysis of Historical Documents of the International Journalof Document Analysis and Recognition- IJDAR. 9(2-4) 281-297.

·         [IJ.4]M. Ceci,D. Malerba (2007).Classifying Web Documents in a Hierarchy ofCategories: A Comprehensive Study. Journal of IntelligentInformation Systems (JIIS) Springer-Verlag. 28(1), 1-41.

·         [IJ.3] M. Ceci,A. Appice (2006). Spatial Associative Classification: Propositional vs.Structural approach. Journal of Intelligent Information Systems(JIIS), special issue on Mining Spatio temporal Data.Springer-Verlag. 27(3),191-213.

·         [IJ.2]D. Malerba, F. Esposito, M.Ceci, A. Appice (2004). Top-Down Induction of Model Trees withRegression and Splitting Nodes, IEEE Transactions on Pattern Analysis and MachineIntelligence (PAMI), 26, 5, 612-625. (Software& Data)

·         [IJ.1]A. Appice, M.Ceci, A. Lanza, F.A. Lisi, D. Malerba (2002). Discoveryof Spatial Association Rules in Georeferenced Census Data: A RelationalMining Approach, Intelligent Data Analysis, special issue on"Mining Official Data" . Volume 7(6).

International Books

·         [IB.5] M. Ceci, C. Loglisci, E. Salvemini, D. D’Elia, D. Malerba. (2010) Mining Spatial Association Rules for Composite Motif Discovery. In Mathematical Approaches to Polymer Sequence Analysis. Springer (to appear)

·         [IB.4] M. Ceci, A. Appice, D. Malerba (2010) Transductive Learning for Spatial Data Classification. Advances in Machine Learning I: pp. 189-207

·         [IB.3]D. Malerba, M. Ceci, M. Berardi. (2007) Machine Learning for Reading Order Detection in Document Image Understanding. In S. Marinai (Ed.), Machine learning in Document Analysis and Recognition. Springer, (to appear)

·         [IB.2]D. Malerba, M. Berardi, M. Ceci. (2007) Discovering Spatio-Textual Association Rules in Document Images. In F. Masseglia, P. Poncelet, M.Teisseire (Eds.), Data Mining Patterns: New Methods and Applications. pp. 178-199. IGI Group.

·         [IB.1]D. Malerba, A. Appice & M. Ceci. A Data Mining Query Language for KnowledgeDiscovery in a Geographical Information System. In Rosa Meo, Pierluca Lanzi, Mika Klemettinen (eds.), DatabaseSupport for Data Mining Applications. Springer-Verlag, 2003, LNCS2682.

 

International Collections

·         [ICL.32] Annalisa Appice, Michelangelo Ceci, Donato Malerba: An Iterative Learning Algorithm for Within-Network Regression in the Transductive Setting. Discovery Science 2009: 36-50

·         [ICL.31] Corrado Loglisci, Michelangelo Ceci, Donato Malerba: A Knowledge-Based Framework for Information Extraction from Clinical Practice Guidelines. International Symposium On Methodologies For Intelligent Systems, ISMIS 2009: 119-128

·         [ICL.30] Michelangelo Ceci, Annalisa Appice, Corrado Loglisci, Costantina Caruso, Fabio Fumarola, Donato Malerba: Novelty Detection from Evolving Complex Data Streams with Time Windows. International Symposium On Methodologies For Intelligent Systems, ISMIS 2009: 563-572

·         [ICL.29] Michelangelo Ceci, Annalisa Appice, Corrado Loglisci, Costantina Caruso, Fabio Fumarola, Carmine Valente, Donato Malerba: Relational Frequent Patterns Mining for Novelty Detection from Data Streams. International Conference on Machine Learning and Data Mining for Pattern Recognition, MLDM 2009: 427-439

·         [ICL.28] D. Malerba, M. Ceci. (2008). Learning to Order: A Relational Approach. In: Ras Z. W., Tsumoto S., Zighed D. A. Mining Complex Data, MCD 2007. (vol. 4944, pp. 209-223). ISBN: 978-3-540-68415-2. doi:10.1007/978-3-540-68416-9 BERLIN: Springer-Verlag (GERMANY).

·         [ICL.27] A.Appice,M. Ceci, & D. Malerba. (2008) Top-down Induction of Relational Model Trees in Multi-Instance Learning. International Conference on Inductive Logic Programming, ILP 2008. Springer-Verlag. 24-41.

·         [ICL.26] A. Turi, A.Appice, M. Ceci, & D. Malerba. (2008) A Grid-based Multi-Relational Approach to Process Mining. International Conference on Database and Expert Systems Applications, DEXA 2008. Springer-Verlag. 701-709.

·         [ICL.25] M. Ceci, A.Appice, & D. Malerba. (2008) Emerging Pattern Based Classification in Relational Data Mining. International Conference on Database and Expert Systems Applications, DEXA 2008. Springer-Verlag. 283-296.

·         [ICL.24] A. Appice, M. Ceci & D. Malerba. Stepwise Induction of Logistic Model Trees. (2008) In M. An, S. Matwin, Z. W. Ras & D. Slezak (Eds.), International Symposium On Methodologies For Intelligent Systems, ISMIS 2008. Springer-Verlag, Series: Lecture Notes In Artificial Intelligence 4994, 68-77, 2008.

·         [ICL.23] M. Ceci, A. Appice, C. Caruso & D. Malerba. Discovering Emerging Patterns for Anomaly Detection in Network Connection Data. (2008) In M. An, S. Matwin, Z. W. Ras & D. Slezak (Eds.), International Symposium On Methodologies For Intelligent Systems, ISMIS 2008. Springer-Verlag, Series: Lecture Notes In Artificial Intelligence 4994, 179-188, 2008.

·         [ICL.22]M.Ceci, A.Appice & D. Malerba (2007). Discovering Emerging Patterns in Spatial Databases: A Multi-relational Approach. Knowledge Discovery in Databases: PKDD 2007,Series: Lecture Notes in Artificial Intelligence, Vol. 4702, pp. 390-397, Springer, Berlin, Germany, 2007

·         [ICL.21]A.Appice, M.Ceci, C. Malgieri & D. Malerba (2007). Discovering Relational Emerging Patterns. In R. Basili and M.T. Pazienza (Eds.), AI*IA 2007: Advances in Artificial Intelligence, AI*IA 2007.SSeries: Lecture Notes in Artificial Intelligence,vol. 4733, pp. 206-217, Springer: Berlin. 2007.

·         [ICL.20]M.Ceci, A.Appice, N.Barile & D. Malerba (2007). Transductive Learning from Relational Data. IAPR International Conference on Machine Learning and Data Mining for Pattern Recognition, MLDM 2007.Series: Lecture Notes inArtificial Intelligence, Springer: Berlin. Leipzig, Germany, July 18-20, 2007.

·         [ICL.19]A. Appice, M.Ceci (2006). Mining Tolerance Regions with ModelTrees. 16th International Symposium On Methodologies ForIntelligent Systems, ISMIS 2005. Series: Lecture Notes inArtificial Intelligence, Vol. 4203, 560-569, Springer: Berlin.

·         [ICL.18]D. Malerba, M. Ceci, A. Appice (2005). Mining Model Trees fromSpatial Data. Knowledge Discovery in Databases: PKDD 2005,Lecture Notes in Artificial Intelligence, 3721, 169-180, Springer,Berlin, Germany.

·         [ICL.17]A. Appice, M. Ceci, D. Malerba. Mining Relational AssociationRules for Propositional Classification. In S. Bandini and S. Manzoni(Eds.), AI*IA 2005: Advances in Artificial Intelligence,Series: Lecture Notes in Artificial Intelligence, Vol. 3673, 522-534,Springer: Berlin. 2005.

·         [ICL.16] M. Ceci, M. Berardi, D. Malerba. Relational Learning:Statistical Approach versus Logical Approach in Document ImageUnderstanding. In S. Bandini and S. Manzoni (Eds.), AI*IA 2005:Advances in Artificial Intelligence, Series: Lecture Notes inArtificial Intelligence, Vol. 3673, 418-429, Springer: Berlin. 2005.

·         [ICL.15] A.Appice, M. Berardi, M. Ceci, D. Malerba. Miningand filtering multi-level spatial association rules with ARES. 15thInternational Symposium On Methodologies For Intelligent Systems, ISMIS2005. Series: Lecture Notes in Artificial Intelligence, to appear,Saratoga Springs, New York - May 25-28 , 2005.

·         [ICL.14] M.Ceci, A. Appice, & D. Malerba (2004). SpatialAssociative Classification at Different Levels of Granularity: AProbabilistic Approach, in J.-F. Boulicaut, F. Esposito, F.Giannotti, & D. Pedreschi (Eds.), Knowledge Discovery inDatabases: PKDD 2004, Lecture Notes in Artificial Intelligence,3202, 99-111, Springer, Berlin, Germany.

·         [ICL.13] M.Ceci,A.Appice & D. Malerba. ComparingSimplification Methods for Model Trees with Regression and SplittingNodes. Fourteenth International Symposium On Methodologies ForIntelligent Systems, ISMIS 2003. Series: Lecture Notes inArtificial Intelligence, Vol. 2871, Maebashi City, Japan, October28-31, 2003.

·         [ICL.12] A.Appice, M. Ceci & D. Malerba. MiningModel Trees: a multi-relational approach. In T. Horvath and A.Yamamoto (Eds.), Inductive Logic Programming ILP03 , Series:Lecture Notes in Artificial Intelligence, Vol. 2835, 4-21, Springer:Berlin. Szeged, Hungary September 29 - October 1, 2003.

·         [ICL.11] M.Ceci, A. Appice, D. Malerba & V. Colonna. Multi-relationalStructural Bayesian Classifier. In A. Cappelli and F. Turini (Eds.), AI*IA2003: Advances in Artificial Intelligence, Series: Lecture Notes inArtificial Intelligence, Vol. 2829, 250-261, Springer: Berlin. Pisa,September 23-26 2003.

·         [ICL.10] M.Ceci, A. Appice & D. Malerba. Mr-SBC:a Multi-Relational Naive Bayes Classifier. In N. Lavrac, D.Gamberger, L. Todorovski & H Blockeel (Eds.), Knowledge Discoveryin Databases PKDD 2003, Series: Lecture Notes in Artificial Intelligence, Vol. 2838, 95-106, Cavtat-Dubrovnik, September 22-26,2003.

·         [ICL.9]D.Malerba, M. Ceci, M. Berardi (2003) XMLand Knowledge Technologies for Semantic-Based Indexing of PaperDocuments. In: V. Marik, W. Retschintzegger & O. Stepankova(Eds.), Database and Expert Systems Applications, (DEXA 2003),256-265, LNCS 2736, Springer, Berlin.

·         [ICL.8]I.Frommholz, H. Brocks, U. Thiel, E. Neuhold, L. Iannone, G. Semeraro, M.Berardi M. Ceci(2003) Document-Centered Collaboration forScholars in the Humanities - The COLLATE System. In T. Koch and I.T. Slvberg (Eds.), Research andAdvanced Technology for Digital Libraries, Lecture Notes inComputer Science 2769, pp. 434445, Springer:Berlin, 2003.

·         [ICL.7]M.Ceci,A.Appice & D. Malerba. Simplification Methodsfor Model Trees with Regression and Splitting Nodes. In P. Perner &and A. Rosenfeld (Eds.), IAPR International Conference on MachineLearning and Data Mining for Pattern Recognition, MLDM 2003.Series: Lecture Notes in Artificial Intelligence, Vol. 2734, 53-64,Leipzig, Germany, July 5-7, 2003.

·         [ICL.6]M.Ceci, D. Malerba, M. Lapi, F. Esposito (2003). Automated Classification of Web Documents into a Hierarchy of Categories. In: M.A. Klopotek, S.T. Wierzchon, K. Trojanowski (Eds.), Intelligent Information Processing and WebMining, Series: Advances in Soft Computing. Berlin: Springer, 2003, pp. 59-68.

·         [ICL.5]Ceci M.,Malerba D.  HierarchicalClassification of HTML Documents with WebClassII, in Proceedings of the BCS-IRSG 25th European Conferenceon Information Retrieval Research (ECIR 03), Pisa,Italy - April 14-16, 2003.

·         [ICL.4]D. Malerba, F. Esposito, M. Ceci (2002). Mining HTML Pages to Support Document Sharing in a Cooperative System. In R. Unland, A. Chaudri, D.Chabane & W. Lindner (Eds.) XML-Based Data Management andMultimedia Engineering - EDBT 2002 Workshops, Lecture Notes inComputer Science, 2490, 420-434, Springer, Berlino, Germania.

·         [ICL.3]D.Malerba, A. Appice, M. Ceci, M. Monopoli (2002). Trading-off Local versus Global Effects of RegressionNodes in Model Trees. In H.-S. Hacid, Z.W. Ras, D.A. Zighed, Y.Kodratoff Foundations of Intelligent Systems, 13th International Symposium, ISMIS'2002, Lecture Notes inArtificial Intelligence, 2366, 393-402, Springer, Berlino, Germania.

·         [ICL.2]A. Lanza,D. Malerba, F.A. Lisi, A. Appice, M. Ceci (2002). Generating Logic Descriptions for the AutomatedInterpretation of Topographic Maps. In D. Blostein and Y.-B. Kwon(eds.) Graphics Recognition: Algorithms and Applications,Lecture Notes in Computer Science, 2390, 200-210, Springer, Berlino,Germania.

·         [ICL.1]D.Malerba, A. Appice, A. Bellino, M. Ceci, & D. Pallotta(2001). Stepwise Induction of Model Trees. In F.Esposito (Ed.), AI*IA 2001: Advances in Artificial Intelligence,Lecture Notes in Artificial Intelligence, 2175, Springer, Berlin,Germany.

 

Proceedings of International Conferences

·         [ICO.10] M. Ceci  (2008). Hierarchical Text Categorization in a Transductive Setting. In: F. Bonchi, B. Berendt, F. Giannotti, D. Gunopulos, F. Turini, C. Zaniolo, N. Ramakrishnan, X. Wu. IEEE International Conference on Data Mining Workshops. (pp. 184-191). ISBN: 978-0-7695-3503-6. doi:10.1109/ICDM.Workshops LOS ALAMITOS: IEEE Computer Society (UNITED STATES).

·         [ICO.9] M. Ceci, M. Berardi, G.A. Porcelli, and D. Malerba. (2007) A data Mining approach to Reading Order Detection.. In: Proc. of the 9th International Conference on Document Analysisand Recognition (ICDAR 2007), ISBN/ISSN: 0-7695-2822-8, Curitiba, Brazil 23-26 September 2007, IEEE Computer Society Press, Los Alamitos, California, USA. pp. 924-928

·         [ICO.8] A. Appice, N. Barile, M. Ceci, D. Malerba and R.P. Singh. (2007) Mining Geo-Spatial Data in a Transductive Setting.. In A. Zanasi, C. A. Brebbia and N.F.F. Ebecken (Eds.) Data Mining VIII, pp 141-149, WIT Press, Southampton, UK. pp. 473-477

·         [ICO.7] M. Ceci, A. Appice, D. Malerba & N. Barile. (2006) TRANS-SC: a Transductive Structural Classifier. Short paper in S. Muggleton and R. Otero (Eds.),. In: Proc. of the 16th International Conference on Inductive Logic Programming ILP 2006,

·         [ICO.6] M. Ceci, M. Berardi, D. Malerba. (2005) Relational Learning techniques for Document ImageUnderstanding: Comparing Statistical and Logical approaches. In: Proc. of the 8th International Conference on Document Analysisand Recognition (ICDAR 2005), 473-477, IEEE Computer Society Press,Los Alamitos, California, USA.

·         [ICO.5]M. Berardi, O. Altamura, M. Ceci, D. Malerba, (2005) A color-based layout analysis to processcensorship cards of film archives. In: Proc. of the 8thInternational Conference on Document Analysis and Recognition (ICDAR2005), 1110-1114, IEEE Computer Society Press, Los Alamitos,California, USA.

·         [ICO.4]A.Appice, M. Ceci, S. Rawles, P. Flach (2004) Redundant FeatureElimination for Multi-Class Problems. In: Proc. of the 21st International Conferenceon Machine Learning (ICML 2004).

·         [ICO.3]D.Malerba, F. Esposito, O. Altamura, M. Ceci, M. Berardi(2003) Correctingthe Document Layout: A Machine Learning Approach. In: Proc. ofthe 7th International Conference on Document Analysis and Recognition(ICDAR 2003), 97-102, IEEE  Computer Society Press, LosAlamitos, California, USA.

·         [ICO.2]M.Berardi, M. Ceci, Michelangelo, F. Esposito, D. Malerba (2003)Learning Logic Programs for Layout Analysis Correction. In: Proc.of the 20th International Conference on Machine Learning (ICML 2003),27-34, AAAI Press, Menlo Park, California, (USA).

·         [ICO.1]A. Appice, M. Ceci.,& D. Malerba. KDB2000: An integrated knowledgediscovery tool. In A. Zanasi, C. A. Brebbia, N.F.F.Ebecken, P. Melli (Eds.) Data Mining III,Series Management Information Systems, Vol 6, 531-540, WIT Press,Southampton, UK.

 

Proceedings of International Workshops

·         [IW.9] D. Malerba, M. Ceci (2007). Learning to order basic components of structured complex objects. Proceedings of the ECML/PKDD 07 workshop on Mining Complex Data. . pp. 83-94

·         [IW.8] M. Ceci, A. Appice (2005). Spatial Associative Classification: Propositionalvs. Structural approach. Proceedingsof the ECML/PKDD 04 workshop on Workshop on Mining Spatio temporalData .

·         [IW.7] M.Berardi, A. Appice, M. Ceci, D. Malerba (2004). Mining spatial data: discovery of spatial associationrules with ARES. Proceedings of the ECML/PKDD 04 workshop onSymbolic and Spatial Data Analysis: Mining Complex Data. (pp.31-42). In P. Brito & M. Noirhomme (Eds.).

·         [IW.6] D.Malerba, M. Ceci, M. Lapi, G. Altini (2004). Anew thresholding algorithm for hierarchical text classification. Proceedingsof the ECML/PKDD 04 workshop on Statistical Approaches for Web Mining. (pp. 62-74). In M. Gori, M. Ceci & M. Nanni (Eds.).

·         [IW.5] G.Semeraro, M. Ceci. Automatically ProcessingHistorical Documents: from paper acquisition to XML transformation. Workshop on Innovations in Digital Asset Management, Fraunhofer IPSI, Darmstadt, Germany, October6-8, 2003.

·         [IW.4]F. Esposito, D. Malerba, G. Semeraro, S. Ferilli, O. Altamura, T.M.A.Basile, M. Berardi, M. Ceci, N. Di Mauro (2004) MachineLearning methods for automatically processing historical documents:from paper acquisition to XML transformation. 1stInternational Workshop on Document Image Analysis for Libraries,January 23-24, Palo Alto, CA.

·         [IW.3]M.Ceci, M. Berardi, D. Malerba (2003) Mining association rules indocument images. Workshop on Multimedia Discovery and Mining(MDM03) in conjunction with ECML/PKDD 2003, September 22, 2003. Dubrovnik,Croatia.

·         [IW.2]A. Appice, M.Ceci & D. Malerba. MR-SMOTI: A Data MiningSystem for Regression Tasks Tightly-Coupled with a Relational Database. Workshop on Knowledge Discovery in Inductive Databases (KDID'03)in conjunction with ECML/PKDD 2003. Cavtat-Dubrovnik,September 22-26, 2003.

·         [IW.1]M.Berardi, M. Ceci, D. Malerba (2003) Mining spatial associationrules from document layout structures. In: Proc. of the 3rdWorkshop on Document Layout Interpretation and its Application (DLIA2003), 9-13, Deutsches Forschungszentrum fur KunstlicheIntelligenz, GmbH, Germany.

 

Proceedings of National Conferences

·         [NCO.7] M. Ceci, D. Malerba. RelationalData Mining Techniques for Historical Document Processing, Atti delXIV Convegno Nazionale su Sistemi Evoluti per Basi diDati, SEBD06. pp.309-320. Portonovo (AN), June 18-21, 2006.

·         [NCO.6] M. Ceci, A. Appice, D. Malerba. Propositionalization Through RelationalAssociation Rules MiningMining, Atti del XIIIConvegno Nazionale su SistemiEvoluti per Basi di Dati, SEBD05. pp.125-136. Bressanone (BZ),June 19-22, 200

·         [NCO.5] M. Attimonelli, I.Cascione, M. Santamaria, M.Accetturo, D.Lascaro, M. Berardi, M. Ceci,C. Loglisci & D. Malerba. "A data miningapproach to retrieve mitochondrial variability data associated toclinical phenotypes" , BioinformaticsItalian Society Annual Meeting BITS 2005, 17-19 March 2005,Milan-Italy.

·         [NCO.4]A. Appice, M. Berardi, M. Ceci, M. Lapi, D. Malerba, A. Turi.Mining interesting spatial association rules: two case studies, Attidel XII Convegno Nazionale su Sistemi Evoluti per Basi di Dati, SEBD04.S.Margherita di Pula (CAGLIARI), June 21-23, 2004.

·         [NCO.3]A. Appice, M. Ceci, F. Esposito, D. Malerba. MiningModel Trees with Regression and Splitting Nodes. Atti del XIConvegno Nazionale su Sistemi Evoluti per Basi di Dati, SEBD03.495-506. Cetraro, June 24-27, 2003.

·         [NCO.2]A. Appice, M. Ceci, D. Malerba, D. Sacchi. Stepwise Model Tree Induction in aMulti-Relational Framework. Atti del XI ConvegnoNazionale su Sistemi Evoluti per Basi di Dati, SEBD03. 281-292.Cetraro, June 24-27, 2003.

·         [NCO.1]D.Malerba, A. Appice, M. Ceci & N. Vacca (2002). Mining Classification and Association Rules inGeographical Data with SDMOQL. Atti delDecimo Convegno Nazionale su Sistemi Evoluti per Basi di Dati SEBD2002,251-264.

 

Proceedings of National Workshops

·         [NW.1]M. Ceci, A. Appice, D. Malerba (2002). Simplifying Model Trees with Regression andSplitting Nodes AI*IA 2002: Advances in Artificial Intelligence,Siena, September 10-13 2002.

 

Demo

·         [D.2]A. Appice, M.Ceci, D. Malerba (2002). KDB2000: Uno strumento per la scopertadella conoscenza nelle basi di dati. Atti delDecimo Convegno Nazionale su Sistemi Evoluti per Basi di Dati SEBD2002,417-421.

·         [D.1]D. Malerba,A. Appice, A. Bellino, M. Ceci, & D. Pallotta (2001).KDB2000: Uno strumento di supporto al processo di scoperta diconoscenza nelle basi di dati. Atti Sessione DEMO del Settimo Congresso della Associazione Italiana perl'Intelligenza Artificiale (AI*IA2001), 27-30, Bari.

 

Technical Reports

·         [TR.4]UNIBA COLLATE Partner. Deliverable No 4.1: Document Processing and XMLContent  Manager (Part 1: Document Processing). IST-1999-20882project COLLATE Collaboratory for Annotation, Indexing and Retrievalof Digitized Historical Archive Material.

·         [TR.3] D.Malerba, A. Appice, M.Ceci. Interface User Guide. IST-1999-10536 project SPIN! Spatial Mining for Data ofPublic Interest.

·         [TR.2] D.Malerba, A. Lanza, A. Appice, M.Ceci, F. Sblendorio. FEATEX Map Feature Extractor User Guide. IST-1999-10536project SPIN! Spatial Mining for Data of Public Interest.

·         [TR.1] D.Malerba,  M.Ceci, A. Appice. JavaWrapping for SPADA Technical Guide. IST-1999-10536 project SPIN!Spatial Mining for Data of Public Interest.

 

Thesis

·         [TH.2] M. Ceci. Naive Bayesian Learning fromStructural Data, Ph.D. Thesis, Universit degli Studi, Bari, Italy. (2005)

·         [TH.1]M. Ceci. La Scoperta diConoscenza nelle Basi di Dati Relazionali: Progetto e Realizzazione delModulo per la Classificazione nel sistema KDB2000. Tesi di Laurea in Informatica, Facolta' di ScienzeMM.FF.NN., Universita' degli Studi, Bari, Italia. (2001) -- (InItalian)

 

Software

HOCCLUS: Hierarchical Overlapping Co-CLUStering

MURENA:A MUlti RElational aNAlyzer

KDB2000:A KDD support system

WISDOM++:An intelligent document processing system

 WebClass:a Web Mining system for the automated classification of Web pages  

 

PhD Students

Current PhD students in Computer Science:
Lucrezia Macchia
Gianvito Pio


Courses

Courses of the Ph.D. program

Abstract Data and Algorithms - Academic Years 09/10 and 10/11

Undergraduate Courses

Database Systems II (Basi di Dati II) - Laurea Magistrale in Informatica - Academic Years 10/11-11/12-12/13

Advanced Data Base Systems (Basi di Dati Avanzate) Informatica - Academic Years 07/08 and 09/10

Advanced Computer Programming Methods (Metodi Avanzati di Programmazione) Informatica - Bari Academic Years 05/06, 06/07, 07/08 and 08/09

DataBases and Lab. (Basi di Dati e Laboratorio) ICD-TARANTO Academic Years 08/09, 09/10

Knowledge Bases and Data Mining (Basi di Conoscenza e Data Mining - Laurea Specialisitica in Informatica e Luarea Magistrale in Informatica) Academic Years 08/09 and 09/10

AdvancedComputer Programming Methods (Metodi Avanzati di Programmazione) Informatica - Brindisi Academic Years 06/07 and 07/08

DataBases Lab. (Laboratorio di Basi di Dati) Informatica-BARI AcademicYears 05/06 and 06/07

ProgrammingLanguages + Lab. (Linguaggi di Programmazione + Laboratorio)ICD-TARANTO Academic Year 04/05

DataBases Lab. (Laboratorio di Basi di Dati) ICD-TARANTO Academic Year04/05 and 05/06

Courses of the Specialization School for Secondary School Teachers (SSIS)

Databases and Information Systems: Lessons and Exercises (Lezioni ed esercitazioni di didattica di basi di dati e sistemi informativi) Academic Year 06/07

ArchiveManagement: Laboratory, Seminars and Lessons (Laboratori, seminari elezioni di gestione di archivio) Academic Year 05/06-06/07

DataBase Design Lab (Laboratorio di didattica di Progettazione di Basi diDati) Academic Year 05/06

Tutorial

Tutorialson Knowledge Discovery from Databases: (06/05/2003)

Tutoring

·         Academic year 2001/2002 - Tutoring in theComputer Architecture course (laboratory)

·         Academicyear 2001/2002 - Tutoring in the Operative Systems course(laboratory)

·         Academicyear 2002/2003 - Tutoring in the Databases and Informative Systemscourse (laboratory)

·         Academic year 2003/2004 - Tutoring in theProgramming Languages course

·         Academic year 2003/2004 - Tutoringin the Data Bases and Knowledge Bases (laboratory)

 

Top of this page