Chapters in International Books

  • LOGLISCI C, Annalisa Appice, Donato Malerba (2014). Collective Inference for Handling Autocorrelation in Network Regression. In: Troels Andreasen and Henning Christiansen and Juan Carlos Cubero Talavera and Zbigniew W. Ras. Foundations of Intelligent Systems - 21st International Symposium, {ISMIS} 2014, Roskilde, Denmark, June 25-27, 2014. Proceedings. LECTURE NOTES IN COMPUTER SCIENCE, vol. 8502, p. 542-547, ISSN: 0302-9743, doi: 10.1007/978-3-319-08326-1
  • LOGLISCI C, Donato Malerba (2014). Mining Dense Regions from Vehicular Mobility in Streaming Setting. In: Troels Andreasen and Henning Christiansen and Juan Carlos Cubero Talavera and Zbigniew W. Ras. Foundations of Intelligent Systems - 21st International Symposium, ISMIS 2014, Roskilde, Denmark, June 25-27, 2014. Proceedings. LECTURE NOTES IN COMPUTER SCIENCE, vol. 8502, p. 40-49, ISBN: 978-3-319-08325-4, ISSN: 0302-9743, doi: 10.1007/978-3-319-08326-1
  • 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
  • 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
  • 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
  • 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
  • Gianvito Pio, Michelangelo Ceci, LOGLISCI C, Domenica D'Elia, Donato Malerba (2012). Hierarchical and Overlapping Co-Clustering of mRNA: miRNA Interactions. In: Luc De Raedt and Christian Bessiere and Didier Dubois and Patrick Doherty and Paolo Frasconi and Fredrik Heintz and Peter J. F. Lucas. ECAI 2012 - 20th European Conference on Artificial Intelligence. Including Prestigious Applications of Artificial Intelligence (PAIS-2012) System Demonstrations Track, Montpellier, France, August 27-31 , 2012. FRONTIERS IN ARTIFICIAL INTELLIGENCE AND APPLICATIONS, vol. 242, p. 654-659, ISBN: 978-1-61499-097-0, ISSN: 0922-6389, doi: 10.3233/978-1-61499-098-7-65
  • LOGLISCI C, Dino Ienco, Mathieu Roche, Maguelonne Teisseire, Donato Malerba (2012). An Unsupervised Framework for Topological Relations Extraction from Geographic Documents. In: Stephen W. Liddle and Klaus-Dieter Schewe and A Min Tjoa and Xiaofang Zhou. Database and Expert Systems Applications - 23rd International Conference, DEXA 2012, Vienna, Austria, September 3-6, 2012. Proceedings, Part II. LECTURE NOTES IN COMPUTER SCIENCE, vol. 7447, p. 48-55, ISBN: 978-3-642-32596-0, ISSN: 0302-9743, doi: 10.1007/978-3-642-32597-7_5
  • 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
  • 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
  • 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
  • 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
  • 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
  • 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
  • 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
  • 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
  • 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
  • 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
  • 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
  • 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
  • LOGLISCI C, DONATO MALERBA (2009). Mining Multiple Level Non-redundant Association Rules through Two-Fold Pruning of Redundancies. In: Petra Perner. Machine Learning and Data Mining in Pattern Recognition, 6th International Conference, MLDM 2009, Leipzig, Germany, July 23-25, 2009. Proceedings. LECTURE NOTES IN COMPUTER SCIENCE, vol. 5632, p. 251-265, ISBN: 978-3-642-03069-7, ISSN: 0302-9743, doi: 10.1007/978-3-642-03070-3_19
  • LOGLISCI C, Donato Malerba (2009). A Temporal Data Mining Approach for Discovering Knowledge on the Changes of the Patient's Physiology. In: Carlo Combi and Yuval Shahar and Ameen Abu-Hanna. Artificial Intelligence in Medicine, 12th Conference on Artificial Intelligence in Medicine, AIME 2009, Verona, Italy, July 18-22, 2009. Proceedings. LECTURE NOTES IN COMPUTER SCIENCE, vol. 5651, p. 26-35, ISBN: 978-3-642-02975-2, ISSN: 0302-9743, doi: 10.1007/978-3-642-02976-9_4
  • 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
  • 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
  • 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.
  • 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
  • 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
  • LOGLISCI C, MALERBA D (2008). Discovering Explanations from Longitudinal Data. In: Aijun An and Stan Matwin and Zbigniew W. Ras and Dominik Slezak. Foundations of Intelligent Systems, 17th International Symposium, ISMIS 2008, Toronto, Canada, May 20-23, 2008, Proceedings. LECTURE NOTES IN COMPUTER SCIENCE, vol. 4994, ISBN: 978-3-540-68122-9, ISSN: 0302-9743, doi: 10.1007/978-3-540-68123-6_22
  • 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
  • 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
  • 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
  • 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
  • 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
  • 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
  • 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
  • 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.
  • M. Berardi & D. Malerba (2007). Learning Recursive Patterns for Biomedical Information Extraction. In S. Muggleton, R. Otero, & A. Tamaddoni-Nezhad (Eds.): Inductive Logic Programming: ILP 2006, LNAI 4455, pp. 79–93, Springer: Berlin.
  • 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.
  • 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.
  • 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.
  • 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.
  • 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.
  • 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.
  • 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.
  • D. Malerba, A. Appice, A. Varlaro & A. Lanza (2005). Spatial Clustering of Structured Objects. In S. Kramer and B. Pfahringer (Eds.), Inductive Logic Programming: ILP 2005, Lecture Notes in Artificial Intelligence, 3625, pp. 227-245, Springer: Berlin.
  • C. Caruso, D. Malerba & D. Papagni (2005). Learning the Daily Model of Network Traffic. In M.-S. Hacid, N.V. Murray, Z.W. Ras & S. Tsumoto (Eds.), Foundations of Intelligent Systems, 15th International Symposium, ISMIS 2005, Lecture Notes in Artificial Intelligence, 3488, pp. 131-141, Springer: Berlin.
  • BERARDI M, LAPI M, LEO P, LOGLISCI C (2005). Mining Generalized Association Rules on Biomedical Literature. In: Moonis Ali and Floriana Esposito. Innovations in Applied Artificial Intelligence, 18th International Conference on Industrial and Engineering Applications of Artificial Intelligence and Expert Systems, IEA/AIE 2005, Bari, Italy, June 22-24, 2005, Proceedings. LECTURE NOTES IN COMPUTER SCIENCE, vol. 3533, p. 500-509, ISBN: 3-540-26551-1, ISSN: 0302-9743, doi: 10.1007/11504894_68.
  • 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.
  • M. Berardi, A. Varlaro, & D. Malerba (2004). On the effect of caching in recursive theory learning, in R. Camacho, R.D. King, & A. Srinivasan Inductive Logic Programming: ILP 2004, Lecture Notes in Artificial Intelligence, 3194, 44-62, Springer, Berlin, Germany.
  • M. Berardi, M. Lapi & D. Malerba (2004). An integrated approach for automatic semantic structure extraction in document images in S. Marinai & A. Dengel (Eds.) Document Analysis Systems VI. 6th International Workshop, DAS 2004, Lecture Notes in Computer Science, 3163, 179-190, Springer, Berlin, Germany.
  • 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.
  • 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
  • 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
  • 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.
  • CECI M, APPICE A., MALERBA D. (2003). Mr-SBC: A multi-relational Naïve 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.
  • 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
  • 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
  • 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.
  • M. Ceci, A. Appice, & D. Malerba (2003). Comparing Simplification Methods for Model Trees with Regression and Splitting Nodes, in N. Zong, Z.W. Ras, S. Tsumoto, E. Suzuki (Eds.), Foundations of Intelligent Systems, 14th International Symposium, ISMIS'2003, Lecture Notes in Artificial Intelligence, 2871, 49-56, Springer, Berlin, Germany.
  • F.A. Lisi & D. Malerba (2003). Ideal Refinement of Descriptions in AL-log, in T. Horvath and A. Yamamoto (Eds.) Inductive Logic Programming ILP'03, Lecture Notes in Artificial Intelligence, 2835, 215-232, Springer, Berlin, Germany.
  • M. Ceci & D. Malerba (2003). Web-pages Classification into a Hierarchy of Categories, In F. Sebastiani (Ed.), Advances in Information Retrieval Proceedings, Lecture Notes in Computer Science, 2633, 57-72, Springer, Berlin, Germany.
  • 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 and Multimedia Engineering - EDBT 2002 Workshops, Lecture Notes in Computer Science, 2490, 190-201, Springer, Berlin, Germany.
  • D. Malerba, F. Esposito & O. Altamura (2002). Adaptive layout analysis of document images, in H.-S. Hacid, Z.W. Ras, D.A. Zighed & Y. Kodratoff (Eds.), Foundations of Intelligent Systems, 13th International Symposium, ISMIS'2002, Lecture Notes in Artificial Intelligence, 2366, 526-534, Springer, Berlin, Germany.
  • 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.
  • 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.
  • 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.
  • D. Malerba & F.A. Lisi (2001). Discovering Associations Between Spatial Objects: An ILP Application, in C. Rouveirol & M. Sebag (Eds.), Inductive Logic Programming, Lecture Notes in Artificial Intelligence, 2157, 156-163, Springer, Berlin, Germany.
  • D. Malerba, F. Esposito, A. Lanza & F.A. Lisi (2001). First-order rule induction for the recognition of morphological patterns in topographic maps , In P. Perner (Ed.), Machine Learning and Data Mining in Pattern Recognition, Lecture Notes in Artificial Intelligence, 2123, 88-101, Springer, Berlin, Germany.
  • F. Esposito, D. Malerba & F.A. Lisi (2000). Induction of recursive theories in the normal ILP setting: issues and solutions, in J. Cussens and A. Frisch (Eds.) Inductive Logic Programming, Lecture Notes in Artificial Intelligence, 1866, 93-111, Springer, Berlin, Germany.
  • D. Malerba, F. Esposito, A. Lanza & F.A. Lisi (2000). Discovering Geographic Knowledge: The INGENS System. In Z.W. Ras and S. Ohsuga (Eds.), Foundations of Intelligent Systems, 12th International Symposium, ISMIS'2000, Lecture Notes in Artificial Intelligence, 1932, 40-48, Springer, Berlin, Germany.
  • F. Esposito, D. Malerba, L. Di Pace & P. Leo (2000). A Machine Learning Approach to Web Mining. In E. Lamma & P. Mello (Eds.), AI*IA 99: Advances in Artificial Intelligence, Lecture Notes in Artificial Intelligence, 1792, 190-201, Springer, Berlin, Germany.
  • F. Esposito, D. Malerba, G. Semeraro, & S. Caggese (1999). Discretization of Continuous-Valued Data in Symbolic Classification Learning, in M. Vichi and O. Opitz (Eds.), Classification and Data Analysis: Theory and Application, Series: Studies in Classification, Data Analysis, and Knowledge Organization, vol. 13, Springer-Verlag:Berlin, 81-88.
  • D. Malerba, F. Esposito, G. Semeraro & S. Caggese (1997). Handling Continuous Data in Top-Down Induction of First-Order Rules. AI*IA 97: Advances in Artificial Intelligence, Lecture Notes in Artificial Intelligence, 1321, 24-35, Springer, Berlin, Germany.
  • D. Malerba, F. Esposito and G. Semeraro (1996). A Further Comparison of Simplification Methods for Decision-Tree Induction. Chapter 35 in D. Fisher and H.-J.Lenz (Eds.), Learning from Data: AI and Statistics V, Lecture Notes in Statistics, 112, 365-374, Springer-Verlag, Berlin, Germany.
  • F. Esposito, D. Malerba & G. Semeraro (1995). Simplifying decision trees by pruning and grafting: New results (Extended abstract). In Nada Lavrac and Stefan Wrobel (Eds.), Machine Learning: ECML-95, Lecture Notes in Artificial Intelligence, 912, 287-290, Springer-Verlag, Berlin, Germany.
  • D. Malerba, G. Semeraro, and F. Esposito (1994). An Analytic and Empirical Comparison of Two Methods for Discovering Probabilistic Causal Relationships. In F. Bergadano, and L. De Raedt (Eds.), Machine Learning: ECML-94, Lecture Notes in Artificial Intelligence, 784, 198-216, Berlin:Springer-Verlag.
  • F. Esposito, D. Malerba, and G. Semeraro (1993). Decision Tree Pruning as a Search in the State Space. In P. Brazdil (Ed.), Machine Learning: ECML-93, Lecture Notes in Artificial Intelligence, 667, 165-184, Berlin:Springer-Verlag.

KDDE  Template

KDDE presentations have to be based on this template.

Group members and students who are taking a degree, are invited to use it.

Discovery Science 2016

The 19th International Conference on Discovery Science (DS 2016) will be held in Bari on October 2016, 19th-21st. KDDE Group is organizing it.

ALT 2016

Algorithmic Learning Theory 2016

Bari, Italy, 19-21 October, 2016.

Powered by CMSimple| Template: ge-webdesign.de| Login