Annalisa Appice' Home Page

Research interests:
Analysis and synthesis of algorithms for inductive inference: classification and model trees. Clustering, Association Rule Discovery, Associative Classification. Applications include Knowledge Discovery in Databases and Data Mining, (multi)Relational Data Mining, Data Stream Mining, Map Interpretation and Spatial Data Mining, Data Mining Query Language.

Annalisa Appice

PhD in Computer Science

Assistant Professor

Dipartimento di Informatica
Università degli Studi di Bari
Via Orabona 4
70126 Bari - Italy

phone: +39 080 5443262
fax: +39 080 5443269
email: appice@di.uniba.it

Curriculum Vitae et Studiorum

General Info

Nationality: Italian

Education

January 2007 - March 2007 - She was visiting researcher of the Department of Knowledge Technologies of Jozef Stefan Institute (Ljubljana, Slovenia) under supervision of Prof. Saso Dzeroski.
November 2003 - February 2004 - She was visiting student of the Machine Learning Group headed by Prof. Peter Flach at Department of Computer Science, University of Bristol, UK.
March 2003 - She attended the advanced course On New Frontiers Of Information Society Technologies held in Turin (Italy)
August 2002 - She attended the EDBT’02 Summer School on Distributed Databases on the Net: Models, Languages and Infrastructures held in Cargese (Corsica, France)
August 2002 - She attended the Summer School on Relational Data Mining Summer School held in Helsinki (Finland).
November 2001 – March 2005 She has been employed as PhD student under the supervision of Prof. Donato Malerba at the Department of Informatics, University of Bari. She defended her Ph.D. Thesis in 2005.
March 2001 - She received a Laurea Degree with full marks and honors in Computer Science from the University of Bari. She discussed a thesis on "Knowledge discovery in relational database: Experimental results on the effects of the simplification techniques on model trees induced with SMOTI"..

Awards

September 2005 She received a special mention within AI*IA 2005 for the scientific curriculum vitae and the ph.D dissertation entitled “Learning Relational Model Trees”.
March 2002 - She received an award from University of Bari as best student in the Faculty of Mathematics, Sciences and Physics in 2000/2001

Research Projects

IST-1999-10536 project SPIN! “Spatial Mining on Data of Public Interest”, 2000-2002.
IST-2000-25161 project ASSO “Analysis System of Symbolic Official data”, 2001-2003.
KDubiq project “A Blueprint for Ubiquitous Knowledge Discovery Systems”, 2005-2008.
DIPIS strategic project supported by Apulia Region “Produzione Distribuita come Sistema Innovativo (Distributed Production as Innovative System), 2007-2009.
DDTA project supported by "Dipartimento per Innovazione e Tecnologie"(Department for Innovation and Technology) “ Distretti Digitali del Tessile-Abbigliamento, 2006-2008.
TOCAI.IT project “Tecnologie Orientate alla Conoscenza per Aggregazioni di Imprese in InterneT“, 2006-2008.
COFIN 1998 project “Agenti Intelligenti: Interazione e Acquisizione di Conoscenza” (Intelligent Agents: Interaction and Knowledge Acquisition), 1999-2000
COFIN 1999 project “Modelli Statistici di Classificazione e di Segmentazione per l'Analisi di Dati Strutturati in Forma Complessa: Metodologie, Software e Applicazioni” (Statistical Models for Classification and Segmentation of Complex Data Structures: Methodologies, Software and Applications), 2000-2001
COFIN 2001 project “Metodi di estrazione, di validazione e di rappresentazione dell'informazione statistica in un contesto decisionale” (Methods of knowledge discovery, validation and representation of the statistical information in decision tasks), 2002-2003
ATENEO 2002 “Scoperta di conoscenza in basi di dati: metodi e tecniche efficienti e robuste per dati complessi” (Knowledge discovery in database: efficient methods and techniques for complex data)
ATENEO 2003 “Metodi di apprendimento automatico e di data mining per sistemi di conoscenza basati sulla semantica” (Methods of machine learning and data mining semantic based knowledge systems)
ATENEO 2004 “Metodi di Data Mining Multi-relazionale per la scoperta di conoscenza in basi di dati” (Methods for multi-relational for knowledge discovery in databases)
ATENEO 2005 “Gestione dell'informazione non strutturata: modelli, metodi e Architetture” (Unstructured Information management: models, methods and architectures)
ATENEO 2006 “Metodi di scoperta di conoscenza per ubiquitous computing” (Knowledge Discovery Methods for ubiquitous computing)
ATENEO 2007 “Metodi di scoperta della conoscenza nelle basi di dati: evoluzioni rispetto allo schema unimodale” (Knowledge Discovery in databases: extensions with respect to the unimodal schema)
ATENEO 2008 “Scoperta di conoscenza in domini relazionali” (Knowledge Discovery in relational domains)
ATENEO 2009 “Estrazione, Rappresentazione e Analisi di Dati Complessi” (Extraction, Representation and Analysys of Complex Data)

Activities

Program Committee Membership of:

AAAI Conference on Artificial Intelligence ( AAAI 2010)
The International Conference on Machine Learning( ICML 2010)
ACM SIGKDD Conference on Knowledge Discovery and Data Mining( KDD 2010)
The European Conference on Machine Learning/European Conference on Principles and Practice of Knowledge Discovery and Databases( ECML 2007, ECML 2008, ECML 2009, ECML 2010)
The IEEE International Conference on Data Mining ( ICDM 2008, ICDM 2009, ICDM 2010)
The International Conference on Inductive Logic Programming ( ILP 2008, ILP 2009, ILP 2010)
The ACM Symposium on Applied Computing - Data Mining Track (SAC 2008, SAC 2009, SAC 2010)
The International Conference on Database and Expert Systems Applications (DEXA 2009, DEXA 2010)
The Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD 2009)
The Asian Conference on Machine Learning (ACML 2009)
The International Database Engineering & Applications Symposium (IDEAS 2009)
International Conference on Advances in Databases (DB 2009 , DBKDA 2010 )
The the Mexican International Conference on Computer Science (ENC 2009)
The Mexican International Conference on Artificial Intelligence (MICAI 2009)
The IADIS MultiConference on Computer Science and Information Systems - Data Mining (ECDM 2007, ECDM 2008, ECDM 2009, ECDM 2010)
The IASTED International Conference on Advances in Computer Science and Engineering (ACSE 2009, ACSE 2010)
The International conference on digital information management (ICDIM 2009)
The International Conference on Artificial Intelligence: Methodology, Systems, Applications (AIMSA 2008, AIMSA 2010)
The International Workshop on Spatial and Spatiotemporal Data Mining (SSTDM 2008,SSTDM 2009)
The International Workshop on Defence against Spam in Electronic Communication (DaSECo 2009,DaSECo 2010)
International Workshop on Interesting Knowledge Mining – IKM 2009 (IKM 2009, IKM 2010)
IEA/AIE 2009 Special Session on Mining Interesting Knowledge (MIK)
Symbolic and Spatial Data Analysis: Mining Complex Data Structures”co-located with the 15th European Conference on Machine Learning (ECML) and the 8th European Conference on Principles and Practice of Knowledge Discovery in Databases (PKDD)

International Reviewers Committee Member of:

International Conference on Knowledge-Based and Intelligent Information and Engineering Systems( KES 2008 )

She acted as a referee of several international journals ( Machine Learning , International Journal of Data Mining, Modelling and Management (IJDMMM), International Journal of Geographical Information Science (IJGIS), Information Sciences, AACM Transactions on Knowledge Discovery from Data, Fundamenta Informaticae, Pattern Recognition Letters , Data and Knowledge Engineering (DKE), Knowledge and Information Systems (KAIS), Journal of Science and Engineering (TKJSE), International Journal of Computers and Applications ...) and conferences.

She has participated to the organization of: Multi-Relational Data Mining (MRDM 2007) co-located with 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)

She has served in the organizing committee of:

The 15th Italian Symposium on Advanced Database Systems SEBD-2007, Torre Canne, Italy.

She has participated as speaker in the tutorial on “Knowledge Mining by Symbolic Data Analysis and the Sodas Sofware” organized by Paola Brito and Edwin Diday in conjunction with IFCS 2006 Conference Data Science and Classification, Ljubljana, Slovenia, July 25 - 29, 2006. She has presented a work on “Dissimilarity and Matching”.

Affiliations

2003-present: member of the Italian Association for Artificial Intelligence, AI*IA

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Publications

Annalisa Appice at Google Scholar

Publications listed in DBLP

For more information, please do not hesitate to email me.

Papers in International Journals

A. Appice , M. Ceci & D. Malerba.
A Parallel, Distributed Algorithm for Relational Frequent Pattern Discovery from Very Large Data Sets Intelligent Data Analysis.
numero speciale su Ubiquitous Knowledge Discovery. IOS Press, accepted for publication, 2010.
D. Malerba, M. Ceci & A. Appice.
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, 2008, 22, 1, 109-116. (pdf)
D. Malerba & A. Appice.
Editor’s foreword: special issue on “Progress on Multi-Relational Data Mining”.
Fundamenta Informaticae. Vol. 89, issn: 0169-2968, pp. i-iii 2008. (pdf)
M. Ceci & A. Appice.
Spatial Associative Classification: Propositional vs. Structural approach.
Journal of Intelligent Information Systems (JIIS), special issue on Mining Spatio temporal Data. 2006, 27(3), pp. 191-213, Springer-Verlag ( pdf).
A. Appice, C. d'Amato, F. Esposito & D. Malerba.
Classification of Symbolic Objects: A Lazy Learning Approach.
Journal of Intelligent Data Analysis, 2006, Volume10, pp.301-324, IOS Press (pdf).
D. Malerba, F. Esposito, M. Ceci & A. Appice.
Top-Down Induction of Model Trees with Regression and Splitting Nodes.
IEEE Transactions on Pattern Analysis and Machine Intelligence, PAMI, 2004, 26(5), 612-625 (pdf).
A. Appice, M. Ceci, A. Lanza, F.A. Lisi & D.Malerba.
Discovery of Spatial Association Rules in Georeferenced Census Data: A Relational Mining Approach
Intelligent Data Analysis, numero speciale. Mining Official Data 2003, Volume 7(6), 541-566 , (pdf).
D. Malerba, F. Esposito,A. Lanza, F.A. Lisi, & A. Appice.
Empowering a GIS with Inductive Learning Capabilities: The Case of INGENS.
Journal of Computers, Environment and Urban Systems, 2003, Elsevier Science, 27, 265-281 (pdf).
D. Malerba, F. Esposito, F.A. Lisi,& A. Appice.
Mining Spatial Association Rules in Census Data.
Research in Official Statistics, 2002, 5, 1, 19-44 ( pdf).

Chapters in International Volumes

D. Malerba, A. Lanza & A. Appice .
Leveraging the power of spatial data mining to enhance the applicability of GIS technology.
In J. Han, R.Cohen (eds.) Geographic Knowledge Discovery and Data Mining, 2nd Edition, J. Han & R.Cohen. Taylor and Francis Group. Accettato per la pubblicazione, 2008. ( pdf ).

D. Malerba, F. Esposito & A. Appice.
Exporting symbolic objects to databases.
In E. Diday, M. Noirhomme-Fraiture (eds.), Symbolic Data Analysis and the SODAS Software. Wiley, ISBN: 978-0-470-01883-5, 61-65, 2008. (pdf).

F. Esposito, D. Malerba & A. Appice.
Dissimilarity and matching.
In Edwin Diday, Monique Noirhomme-Fraiture (eds.), Symbolic Data Analysis and the SODAS Software. Wiley, ISBN: 978-0-470-01883-5, 123-148, 2008. (pdf).

D.Malerba, A. Appice & M. Ceci.
A Data Mining Query Language for Knowledge Discovery in a Geographical Information System.
In Rosa Meo, Pierluca Lanzi, Mika Klemettinen (Eds.), Database Support for Data Mining Applications. Springer-Verlag, 2003, Lecture Notes in Computer Science 2682, 95-116, 2003. (pdf).

Papers in International Collections

A.Appice, M. Ceci & C. Loglisci
Discovering Informative Syntactic Relationships between Named Entities in Biomedical Literature.
In T. Hara, F. Laux, A.M. Ouksel & L. Strömbäck, International Conference on Advances in Databases, Knowledge, DBKDA 2010, and Data Applications. IEEE, accepted for publication, April 2010.
M. Ceci, A.Appice, C. Loglisci & D. Malerba
Complex Objects Ranking: A Relational Data Mining Approach.
In H. Jamil & C. Reddy, ACM SAC Track in Data Mining. ACM, accepted for publication, March 2010.
A.Appice, M. Ceci, & D. Malerba
Transductive Learning for Spatial Regression with Co-Training.
In H. Jamil & C. Reddy, ACM SAC Track in Data Mining. ACM, accepted for publication, March 2010.
A. Ciampi, F. Fumarola, A.Appice, & D. Malerba
Approximate Frequent Itemset Discovery from Data Stream.
XI conference of the National Association of Artificial Intelligence, AI*IA 2009: Springer-Verlag. LNCS 5883, ISBN 978-3-642-10290-5 , 151-160, 2009.
A.Appice, M. Ceci, & D. Malerba
An Iterative Learning Algorithm for Within-Network Regression in the Transductive Setting.
In J. Gama, V. S. Costa, A. M. Jorge, P. Brazdil, Discovery Science 2009: Springer-Verlag. LNCS, 36-50, 2009. (pdf).
F. Fumarola, A. Ciampi, A.Appice, & D. Malerba
A Sliding Window Algorithm for Relational Frequent Patterns Mining from Data Streams.
In J. Gama, V. S. Costa, A. M. Jorge, P. Brazdil, Discovery Science 2009: Springer-Verlag. LNCS, 385-392, 2009. (pdf).
M. Ceci, A.Appice, C. Loglisci, F. Fumarola, & D. Malerba
Novelty Detection from Evolving Complex Data Streams with Time Windows.
In J. Rauch, Z. W. Ras, P. Berka & T. Elomaa(Eds.), International Symposium On Methodologies For Intelligent Systems, ISMIS 2009: Springer-Verlag. LNCS, 5722 563-572, 2009. (pdf).
M. Ceci, A.Appice, C. Loglisci, C. Caruso, F. Fumarola, C. Valente, & D. Malerba
Relational Frequent Patterns Mining for Novelty Detection from Data Streams.
IAPR International Conference on Machine Learning and Data Mining for Pattern Recognition, MLDM 2009: Springer-Verlag. LNCS 5632, 427-439, 2009. (pdf).
A.Appice, M. Ceci, & D. Malerba
Top-down Induction of Relational Model Trees in Multi-Instance Learning.
International Conference on Inductive Logic Programming , ILP 2008. Springer-Verlag. LNAI 5194, ISBN 978-3-540-85927-7, 24-41, 2008. (pdf).
A. Turi, A.Appice, M. Ceci, & D. Malerba
A Grid-based Multi-Relational Approach to Process Mining.
International Conference on Database and Expert Systems Applications , DEXA 2008. Springer-Verlag. LNCS 5181, ISBN 978-3-540-85653-5 , 701-709, 2008. (pdf).
M. Ceci, A.Appice, & D. Malerba
Emerging Pattern Based Classification in Relational Data Mining.
International Conference on Database and Expert Systems Applications , DEXA 2008. Springer-Verlag. LNCS 5181, ISBN 978-3-540-85653-5 , 283-296, 2008. (pdf).
A.Appice, M. Ceci & D. Malerba
Stepwise Induction of Logistic Model Trees.
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. (pdf).
M. Ceci, A.Appice, C. Caruso & D. Malerba
Discovering Emerging Patterns for Anomaly Detection in Network Connection Data.
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. (pdf).
A.Appice, M. Ceci, C. Malgeri & D. Malerba
Discovering Relational Emerging Patterns.
In M. T. Pazienza & R. Basili (Eds.), Congress of the Italian Association for Artificial Intelligence, AI*IA 2007, Springer-Verlag, Series: Lecture Notes In Artificial Intelligence 4733, 206-217, 2007. (pdf).
A.Appice & S. Dzeroski
Stepwise Induction of Multi-Target Model Trees.
In J.N. Kok et al. (Eds.),European Conference of Machine Learning, ECML 2007, Springer-Verlag, Series: Lecture Notes In Artificial Intelligence 4701, 502-509, 2007. (pdf).
M. Ceci, A.Appice & D. Malerba
Discovering Emerging Patterns in Spatial Databases: a Multi-Relational Approach.
In J.N. Kok et al. (Eds.),European Conference on Principles and Practice of Knowledge Discovery in Databases, PKDD 2007, Springer-Verlag, Series: Lecture Notes In Artificial Intelligence 4702, 390-397, 2007. (pdf).
M.Ceci, A.Appice, N.Barile & D. Malerba
Transductive Learning from Relational Data.
IAPR International Conference on Machine Learning and Data Mining for Pattern Recognition, MLDM 2007. Springer-Verlag Berlin, Series: Lecture Notes in Artificial Intelligence 4571, 324-338, 2007. (pdf).
M. Berardi, A. Appice, C. Loglisci & P. Leo
Supporting Visual Exploration of Discovered Association Rules through Multi-Dimensional Scaling.
In Z. W. Ras, F. Esposito, D. Malerba & G. Semeraro (Eds.), International Symposium On Methodologies For Intelligent Systems, ISMIS 2006. Springer-Verlag, Series: Lecture Notes In Artificial Intelligence 4203, 2006. (pdf).
A. Appice & M.Ceci
Mining Tolerance Regions with Model Trees.
In Z. W. Ras, F. Esposito, D. Malerba & G. Semeraro (Eds.), International Symposium On Methodologies For Intelligent Systems, ISMIS 2006. Springer-Verlag, Series: Lecture Notes In Artificial Intelligence 4203, 560-569, 2006. (pdf).
D.Malerba, M.Ceci & A. Appice
Mining Model Trees from Spatial Data.
In A. Jorge, L. Torgo, P. Brazdil, R. Camacho & J. Gama (Eds.), European Conference on Principles and Practice of Knowledge Discovery in Databases, PKDD 2005. Springer-Verlag, Series: Lecture Notes In Artificial Intelligence 3721, 169-180, 2005. (pdf).
A.Appice, M. Ceci & D. Malerba
Mining Relational Association Rules for Propositional Classification
In S. Bandini & S. Manzoni (Eds.), Congress of the Italian Association for Artificial Intelligence, AI*IA 2005, Springer-Verlag, Series: Lecture Notes In Artificial Intelligence 3673, 522-534, 2005. (pdf).
D. Malerba, A. Appice, A. Varlaro & A. Lanza
Spatial Clustering of Structured Objects
In S. Kramer & B. Pfaharinger (Eds.), International Conference on Inductive Logic Programming, ILP 2005, Springer-Verlag, Series: Lecture Notes In Artificial Intelligence 3625, 227-245, 2005. (pdf).
A. Appice, P. Buono.
Analyzing multi-level spatial association rules through a graph-based visualization
In M. Ali & F. Esposito (Eds.), International Conference on Industrial and Engineering Applications of Artificial Intelligence & Expert Systems. Springer-Verlag,Series: Lecture Notes In Artificial Intelligence 3533, 448-458, 2005. (pdf)
A. Appice, M. Berardi, M.Ceci, & D. Malerba.
Mining and Filtering Multi-Level Spatial Association Rules with ARES.
In M.S. Hacid, Z.W. Ras & S. Tsumoto (Eds.), International Symposium On Methodologies For Intelligent Systems, ISMIS 2005.Springer-Verlag, Series:Lecture Notes In Artificial Intelligence 3488, 342-355, 2005. (pdf)
A. Appice, M. Ceci, S. Rawles & P. Flach.
Redundant Feature Elimination for Multi-Class Problems.
International Conference on Machine Learning ICML 2004, ACM, 33-40, 2004. (pdf).
M. Ceci, A. Appice & D. Malerba.
Spatial Associative Classification at Different Levels of Granularity: A Probabilistic Approach.
In J. F.Boulicaut, F. Esposito, F. Giannotti & D. Pedreschi (Eds.),European Conference on Principles and Practice of Knowledge Discovery in Databases, Springer-Verlag,Series: Lecture Notes In Artificial Intelligence 3202,99-111, 2004 (pdf).
M.Ceci, A.Appice & D. Malerba.
Comparing Simplification Methods for Model Trees with Regression and Splitting Nodes.
In Z. Ras & N. Zhong (Eds),International Symposium On Methodologies For Intelligent Systems, ISMIS 2003. Series: Lecture Notes in Artificial Intelligence, 2871 49-56, Maebashi City, Japan, October 28-31, 2003(pdf).
A. Appice, M. Ceci & D. Malerba.
Mining Model Trees: a multi-relational approach.
In T. Horvath and A. Yamamoto (Eds.) International Conference on Inductive Logic Programming ILP, ILP 2003 , Series: Lecture Notes in Artificial Intelligence, 2835, 4-21, Springer: Berlin. Szeged, Hungary September 29 - October 1, 2003. (pdf).
M. Ceci, A. Appice, D. Malerba & V. Colonna.
Multi-relational Structural Bayesian Classifier.
In A. Cappelli and F. Turini (Eds.), AI*IA 2003: Advances in Artificial Intelligence, Series: Lecture Notes in Artificial Intelligence, 2829, 250-261, Springer: Berlin. Pisa, September 23-26 2003.
M. Ceci, A. Appice& D. Malerba.
Mr-SBC: a Multi-Relational Naive Bayes Classifier.
In N. Lavrac, D. Gamberger, L. Todorovski & H Blockeel (Eds.), European Conference on Principles and Practice of Knowledge Discovery in Databases PKDD 2003, Series: Lecture Notes in Artificial Intelligence, 2838, 95-106, Cavtat-Dubrovnik, September 22-26, 2003(pdf).
M.Ceci, A.Appice & D. Malerba.
Simplification Methods for Model Trees with Regression and Splitting Nodes.
In P. Perner & and A. Rosenfeld (Eds.), IAPR International Conference on Machine Learning and Data Mining for Pattern Recognition, MLDM 2003. Series: Lecture Notes in Artificial Intelligence, 2734, 53-64, Leipzig, Germany, July 5-7, 2003.
D. Malerba, A. Appice, M. Ceci & M. Monopoli.
Trading-off Local versus Global Effects of Regression Nodes in Model Trees.
In H.-S. Hacid, Z.W. Ras, D.A. Zighed, Y. Kodratoff. Foundations of Intelligent Systems, International Symposium, ISMIS'2002, Lecture Notes in Artificial Intelligence, 2366, 393-402, Springer, Berlino, Germania, 2002(pdf).
Lanza, D. Malerba, F.A. Lisi, A. Appice & M. Ceci.
Generating Logic Descriptions for the Automated Interpretation 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, 2002(pdf).
D. Malerba, A. Appice,A. Bellino, M. Ceci, & D. Pallotta.
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, 2001( (pdf).

International Conferences

A. Appice, N. Barile, M. Ceci, D. Malerba & R. P. Singh
Mining Geospatial Data in a Transductive Setting.
Proceedings of the eighth International Conference on Data, Text and Web Mining and their Business Applications including Information Engineering, Data Mining 2007.
D. Malerba, A. Appice, A. Varlaro & A. Lanza
Clustering Related Structured Objects: Issues and Solutions
Statistics for Data Mining Learning and Knowledge Evaluation, IASC 2007.
A. Varlaro, A. Appice, A. Lanza, A. Fittipaldi & D. Malerba
TRANS-SC: a Transductive Structural Classifier.
Short paper in S. Muggleton and R. Otero, 16th International Conference on Inductive Logic Programming, ILP 2006, 2006.
M. Ceci, A. Appice, D. Malerba & N. Barile
TRANS-SC: a Transductive Structural Classifier.
Short paper in S. Muggleton and R. Otero, 16th International Conference on Inductive Logic Programming, ILP 2006, 2006.
Appice, M. Ceci., & D. Malerba.
KDB2000: An integrated knowledge discovery tool.
In A. Zanasi, C. A. Brebbia, N.F.F. Ebecken, P. Melli (Eds.) Data Mining III, Series Management Information Systems, 6, 531-540, WIT Press.

International Workshops

A. Appice
A Logic Approach to Mine Syntactic Fragments of Mesh Keywords in Biomedical Literatur.
In the International Workshop on Bio-logical: Logic-based Approaches in Bioinformatics, BIO-LOGICAL 2009, in conjunction with AI*IA 2009, 2009.
A. Appice , A. Ciampi, A. Lanza, D. Malerba, A. Rapolla, & L. Vetturi
Geographic Knowledge Discovery in INGENS: An Inductive Database Perspective.
In the International Workshop on Spatial and Spatio-temporal Data Mining, SSTDM 2008, in conjunction with ICDM 2008, IEEE Computer Society, Pisa, Italy, 2008. (pdf).
A. Appice , M. Ceci, A.Turi, & D. Malerba.
Sampling Very Large Databases for Parallel and Distributed Relational Frequent Pattern Discovery.
In the 1st International Workshop on Ubiquitous Knowledge Discovery, UKD 2008 in conjunction with ECML\PKDD 2008, Antwerp, Belgio, 2008.
A.Turi, A. Appice , M. Ceci, & D. Malerba.
Discovering Process Models: a multi-Relational Approach.
In the 2nd International Workshop on Induction of Process Models, IPM 2008 in conjunction with ECML\PKDD 2008, Antwerp, Belgio, 2008.
A. Appice , A. Lanza, D. Malerba & A. Varlaro.
Homogeneity Evaluation and Seed Selection in Clustering Graph-Connected Spatial Data.
Poster in the 5th International Workshop on Mining and Learning with Graphs, MLG 2007 Florence, Italy, 2007.
A. Appice , D. Malerba & A. Lanza.
An Integrated Platform for Spatial Data Mining within a GIS Environment.
Notes of the Workshop on Spatio-Temporal Data Mining (STDM 2007) in conjunction with 2007 IEEE 23rd International Conference on Data Engineering, ICDE 2007. Instanbul, Turkey, 2007.
A. Appice , A. Lanza & A. Varlaro.
Spatial Clustering of Related Structured Objects for Topographic Map Interpretation.
Notes of the Workshop on Mining Spatio-Temporal Data in conjunction with 8th European Conference on Principles and Practice of Knowledge Discovery in Databases, ECML\PKDD 2005. Porto, Portugal, 2005.
M. Ceci & A. Appice .
Spatial Associative Classification: Propositional vs Structural approach.
Notes of the Workshop on Mining Spatio-Temporal Data in conjunction with 8th European Conference on Principles and Practice of Knowledge Discovery in Databases, ECML\PKDD 2005. Porto, Portugal, 2005.
A. Appice, C. D’Amato, F. Esposito & D. Malerba.
k-Nearest Neighbour Classification of Symbolic Objects.
In P. Brito & M. Noirhomme-Fraiture (Eds.) Notes of the Workshop on Symbolic and Spatial Data Analysis: Mining Complex Data Structures SSDA 2004 in conjunction with 8th European Conference on Principles and Practice of Knowledge Discovery in Databases, ECML\PKDD 2004. Pisa, Italy, 2004.
A. Lanza, D. Malerba, A. Appice & A. Varlaro.
Knowledge Discovery from Maps for Environmental Protection.
In H. Voss and M. Wachowicz (Eds.), Note of the KdNet Workshop Symposium KD for Environmental Management, Bonn, Germany, 2004.
A. Appice, A. Lanza, D. Malerba & A.Turi.
Mining spatial association rules from census data with ARES.
In M. May and D. Malerba (Eds.), Notes of the KdNet Workshop Symposium Knowledge-Based services for Public Sector: Mining Official Data, Bonn, Germany, 2004.
A. Appice, M. Ceci & D. Malerba.
MR-SMOTI: A Data Mining System 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.
D. Malerba, A. Appice, & N. Vacca. SDMOQL: An OQL-based Data Mining Query Language for Map Interpretation Tasks.
In Proceeding of the Workshop on Database Technologies for Data Mining (DTDM'02), in conjunction with the VIII International Conference on Extending Database Technology (EDBT'02), Prague, Czech Republic, March 25-27, 2002
D. Malerba, F.A. Lisi, A. Appice & F. Sblendorio.
Mining Spatial Association Rules in Census Data: A Relational Approach.
In P. Brito and D. Malerba (Eds.), Notes of the ECML/PKDD 2002 Workshop on Mining Official Data, 80-93, Helsinki, Finland, 2002.

National Conferences

A. Appice, M. Ceci, C. Loglisci, C. Caruso, F. Fumarola, M. Todaro & D. Malerba
A Relational Approach to Novelty Detection in Data Streams
Atti del XVII Convegno Nazionale su Sistemi Evoluti per Basi di Dati SEBD-2009, Camogli (Genova), ISBN: 8861221548, 2009.
A. Appice, M. Ceci, V. Rizzi, M. Romano, & D. Malerba
Spatial Regression in the Transductive Setting
Atti del XVII Convegno Nazionale su Sistemi Evoluti per Basi di Dati SEBD-2009, Camogli (Genova), ISBN: 8861221548, 2009.
M. Ceci, A. Appice, G. De Giosa, G. Dileo, A. Lallo & D. Malerba
Mining preference relations to rank complex object
Atti del XVII Convegno Nazionale su Sistemi Evoluti per Basi di Dati SEBD-2009, Camogli (Genova), ISBN: 8861221548, 2009.
A. Turi, A. Appice, M. Ceci & D. Malerba
Distributed Discovery of Multi-Level Approximate Process Patterns
Atti del XVI Convegno Nazionale su Sistemi Evoluti per Basi di Dati, SEBD 2008. 21-25 Giugno, Mondello (Palermo) 2008. 57-68
M. Ceci, A. Appice, L. Macchia & D. Malerba
Relational Classification based on Emerging Patterns
Atti del XVI Convegno Nazionale su Sistemi Evoluti per Basi di Dati, SEBD 2008. 21-25 Giugno, Mondello (Palermo) 2008. 45-56
A. Appice & S. Dzeroski
Inducing Multi-Target Model Trees.
Atti del XV Convegno Nazionale su Sistemi Evoluti per Basi di Dati, SEBD 2007. ISBN 978-88-902981-0-3, 16-27, Torre Canne (Brindisi) 2007.
A. Varlaro, A. Appice, A. Lanza & A. Fittipaldi
On Homogeneity Evaluation and Seed Selection in Clustering Relational Data.
Atti del XV Convegno Nazionale su Sistemi Evoluti per Basi di Dati, SEBD 2007. ISBN 978-88-902981-0-3, 16-27, Torre Canne (Brindisi) 2007.
A. Appice, F. Esposito & D. Malerba.
Classifying Aggregated Data: a Symbolic Data Analysis Approach.
Atti del XIV Convegno Nazionale su Sistemi Evoluti per Basi di Dati, SEBD 2006. Portonovo (Ancona) 2006.
A. Varlaro, A. Appice, A. Lanza & D. Malerba.
An ILP Approach to Spatial Clustering
Atti del XX Convegno Italiano di Logica Computazionale, CILC 2005.
Ceci, A. Appice & D. Malerba.
Propositionalization Through Relational Association Rules Mining.
Atti del XIII Convegno Nazionale su Sistemi Evoluti per Basi di Dati, SEBD 2005. Bressanone (Bolzano) 2005.
A. Varlaro, A. Appice, A. Lanza, D. Malerba & G. Guarnieri.
Relational Clustering with Discrete Spatial Structure
Atti del XIII Convegno Nazionale su Sistemi Evoluti per Basi di Dati, SEBD 2005. Bressanone (Bolzano) 2005.
A. Appice, C. D’Amato, E. Esposito, D. Malerba.
Classification of Symbolic Objects: the k Nearest Neighbour Method.
Mathematical Method for Learning: Advances in data mining and knowledge discovery, MML 2004, Como, June 21-24.
A. Appice, M. Berardi, M. Ceci, M. Lapi, D. Malerba & A. Turi.
Mining interesting spatial association rules: two case studies.
Atti del XII Convegno Nazionale su Sistemi Evoluti per Basi di Dati, SEBD 2004. S.Margherita di Pula (CAGLIARI), June 21-23, 2004.
A. Appice, M. Ceci, F. Esposito & D. Malerba.
Mining Model Trees with Regression and Splitting Nodes.
Atti del XI Convegno Nazionale su Sistemi Evoluti per Basi di Dati, SEBD 2003. 495-506. Cetraro, June 24-27, 2003.
A. Appice,M. Ceci, D. Malerba & D. Sacchi
Stepwise Model Tree Induction in a Multi-Relational Framework.
Atti del XI Convegno Nazionale su Sistemi Evoluti per Basi di Dati, SEBD 2003. 281-292. Cetraro, June 24-27, 2003.
A. Appice, F.A. Lisi, D. Malerba & F. Sblendorio.
Analysing geo-referenced census data: the case of West-England Data.
Convegno Intermedio su Analisi Statistica Multivariata per le Scienze economico-sociali, le scienze naturali e la tecnologia, SIS. Napoli, June 9-11, 2003.
D. Malerba, F. A. Lisi, A. Appice & F. Sblendorio. Mining Census And Geographic Data In Urban Planning Environments.
Terza Conferenza Nazionale su Informatica e Pianificazione Urbana e Territoriale, INPUT 2003. Pisa, Italy, June 5-7, 2003.
A. Appice, F. Esposito, A. Lanza, M. Lapi & D. Malerba.
Extending Gis With A Spatial Data Mining Query Language: A Case Study.
Terza Conferenza Nazionale su Informatica e Pianificazione Urbana e Territoriale, INPUT 2003. Pisa, Italy, June 5-7, 2003.
D. Malerba,A. Appice, M. Ceci & N. Vacca.
Mining Classification and Association Rules in Geographical Data with SDMOQL.
Atti del Decimo Convegno Nazionale su Sistemi Evoluti per Basi di Dati SEBD 2002, 251-264, 2002.

National Workshops

A. Appice, A. Lanza & D. Malerba.
INGENS: A Geographic Information System that Supports Users in Topographic Map Interpretation Tasks.
Workshop on Spatial Data and Geographic Information Systems, SpaDaGIS. Milano, March 10, 2003.
M. Ceci, A. Appice & D. Malerba.
Simplifying Model with Regression and Splitting Nodes
AI*IA 2002: Advances in Artificial Intelligence, Siena, September 10-13 2002.

Demo

A. Appice, M. Ceci, D. Malerba.
KDB2000: Uno strumento per la scoperta della conoscenza nelle basi di dati.
Atti del Decimo Convegno Nazionale su Sistemi Evoluti per Basi di Dati SEBD 2002, 417-421, 2002.
D. Malerba, A. Appice, A. Bellino, M. Ceci, & D. Pallotta.
KDB2000: Uno strumento di supporto al processo di scoperta di conoscenza nelle basi di dati.
Atti Sessione DEMO del Settimo Congresso della Associazione Italiana per l'Intelligenza Artificiale (AI*IA2001), 27-30, Bari, 2001.