Pubblicazioni

  1. Pio G, Malerba D, D'Elia D, Ceci M (2014). Integrating microRNA target predictions for the discovery of gene regulatory networks: a semi-supervised ensemble learning approach. BMC BIOINFORMATICS, vol. 15, S4, ISSN: 1471-2105, doi: http://dx.doi.org/10.1186/1471-2105-15-S1-S4
  2. Appice A, Ceci M, Malerba D (2014). Multi-Relational Model Tree Induction Tightly-Coupled with a Relational Database. FUNDAMENTA INFORMATICAE, vol. 129, p. 193-224, ISSN: 0169-2968, doi: 10.3233/FI-2014-969
  3. Appice A, Ceci M, Loglisci C, Manco G, Masciari E, Ras Z W (a cura di) (2013). New Frontiers in Mining Complex Patterns First International Workshop, NFMCP 2012, Held in Conjunction with ECML/PKDD 2012, Bristol, UK, September 24, 2012, Rivesed Selected Papers. LECTURE NOTES IN COMPUTER SCIENCE, BERLIN HEIDELBERG:Springer-Verlag, ISBN: 978-3-642-37381-7, ISSN: 0302-9743, doi: 10.1007/978-3-642-37382-4
  4. CECI M, CUZZOCREA A., MALERBA D. (2013). Effectively and efficiently supporting roll-up and drill-down OLAP operations over continuous dimensions via hierarchical clustering. JOURNAL OF INTELLIGENT INFORMATION SYSTEMS, p. 1-25, ISSN: 1573-7675, doi: DOI 10.1007/s10844-013-0268-1
  5. CECI M, LOGLISCI C, MACCHIA L, MALERBA D, QUERCIA L (2013). Document Image Understanding through Iterative Transductive Learning. In: (a cura di): AGOSTI M, ESPOSITO F, FERILLI S, FERRO N, Digital Libraries and Archives 8th Italian Research Conference, IRCDL 2012, Bari, Italy, February 9-10, 2012, Revised Selected Papers. COMMUNICATIONS IN COMPUTER AND INFORMATION SCIENCE, vol. 354, p. 117-128, BERLIN HEIDELBERG:Springer-Verlag, ISBN: 978-3-642-35833-3, ISSN: 1865-0929, doi: 10.1007/978-3-642-35834-0_13
  6. LOGLISCI C, CECI M, MALERBA D (2013). Discovering Evolution Chains in Dynamic Networks. In: (a cura di): Appice A, Ceci M, Loglisci C, Manco G, Masciari E, Ras Z W, New Frontiers in Mining Complex Patterns First International Workshop, NFMCP 2012, Held in Conjunction with ECML/PKDD 2012, Bristol, UK, September 24, 2012, Rivesed Selected Papers. LECTURE NOTES IN COMPUTER SCIENCE, vol. 7765, p. 185-199, BERLIN HEIDELBERG:Springer-Verlag, ISBN: 978-3-642-37381-7, ISSN: 0302-9743, doi: 10.1007/978-3-642-37382-4_13
  7. Pio G, Ceci M, D'Elia D, Loglisci C, Malerba D: (2013). A Novel Biclustering Algorithm for the Discovery of Meaningful Biological Correlations between microRNAs and their Target Genes. BMC BIOINFORMATICS, vol. 14, S8, ISSN: 1471-2105, doi: 10.1186/1471-2105-14-S7-S8
  8. Stojanova D, Ceci M, Appice A, Malerba D, Džeroski S (2013). Dealing with Spatial Autocorrelation when Learning Predictive Clustering Trees . ECOLOGICAL INFORMATICS, vol. 13, p. 22-39, ISSN: 1574-9541, doi: 10.1016/j.ecoinf.2012.10.006
  9. 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
  10. Stojanova D, Ceci M, Malerba D, Dzeroski S (2013). Using PPI network autocorrelation in hierarchical multi-label classification trees for gene function prediction. BMC BIOINFORMATICS, vol. 14, 285, ISSN: 1471-2105, doi: 10.1186/1471-2105-14-285
  11. APPICE A, CECI M, MALERBA D, LANZA A (2012). Learning and Transferring Geographically Weighted Regression Trees across Time. In: Martin Atzmueller, Alvin Chin, Denis Helic, Andreas Hotho. Modeling and Mining Ubiquitous Social Media. LECTURE NOTES IN COMPUTER SCIENCE, vol. 7472, p. 97-117, BERLIN:Springer, ISBN: 978-3-642-33683-6, ISSN: 0302-9743, doi: 10.1007/978-3-642-33684-3_6
  12. Appice A, Ceci M, Loglisci C, Manco G, Masciari E, Ras Z (a cura di) (2012). Proc. of the ECMLPKDD 2012 workshop on "New Frontiers on Mining Complex Patterns".
  13. 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
  14. Ceci M, Coluccia M, Fumarola F, Guzzi P H, Mandreoli F, Martoglia R, Masciari E, Mecella M, Penzo W (2012). A Framework for Biological Data Normalization, Interoperability, and Mining for Cancer Microenvironment Analysis . In: Nicola Ferro, Letizia Tanca. Proceedings of the 20th Italian Symposium on Advanced Database Systems. p. 67-74, PADOVA:Edizioni Libreria Progetto, ISBN: 978-88-96477-23-6, Venezia
  15. 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
  16. Ceci M, Guzzi P H, Masciari E, Coluccia M, Mandreoli F, Mecella M, Fumarola F, Martoglia R, Penzo W (2012). The IS-BioBank project: a framework for biological data normalization, interoperability, and mining for cancer microenvironment analysis. SIGHIT RECORD, vol. 2, p. 16-21, ISSN: 2158-8813, doi: 10.1145/2384556.2384558
  17. 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 COMPUTERSCIENCE, 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
  18. 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
  19. PIO G, CECI M, LOGLISCI C, D'ELIA D, MALERBA D (2012). Hierarchical and Overlapping Co-Clustering of mRNA:miRNA Interactions . In: Luc De Raedt, Christian Bessiere, Didier Dubois, Patrick Doherty, Paolo Frasconi, Fredrik Heintz, Peter Lucas . ECAI 2012 - 20th European Conference on Artificial Intelligence. FRONTIERS IN ARTIFICIAL INTELLIGENCE AND APPLICATIONS, vol. 242, p. 654-659, Amsterdam:IOS Press, ISBN: 978-1-61499-097-0, ISSN: 0922-6389, Montpellier, 27-31 August 2012, doi: 10.3233/978-1-61499-098-7-654
  20. PIO G, CECI M, MALERBA D (2012). Mining temporal evolution of criminal behaviors. In: Nicola Ferro, Letizia Tanca. Proceedings of the 20th Italian Symposium on Advanced Database Systems. p. 221-232, PADOVA:Edizioni Libreria Progetto, ISBN: 978-88-96477-23-6, Venezia
  21. STOJANOVA D, DEBELJAK M, CECI M, APPICE A, MALERBA D, DŽEROSKI S (2012). Dealing with spatial autocorrelation in gene flow modeling. In: Ferenc Jordán, Sven Erik Jørgensen . Models of the Ecological Hierarchy. DEVELOPMENTS IN ENVIRONMENTAL MODELLING, vol. 25, p. 35-50, Oxford:Elsevier, ISBN: 9780444593962, ISSN: 0167-8892, doi: 10.1016/B978-0-444-59396-2.00003-1
  22. Stojanova D, Ceci M, Appice, A, Džeroski S (2012). Network regression with predictive clustering trees. DATA MINING AND KNOWLEDGE DISCOVERY, vol. 25, p. 378-413, ISSN: 1384-5810, doi: 10.1007/s10618-012-0278-6
  23. APPICE A, CECI M, LOGLISCI C, MANCO G (a cura di) (2011). Proc. of the AI*IA Workshop on Mining Complex Patterns (MCP 2011) .
  24. APPICE A, CECI M, TURI A, MALERBA D (2011). A parallel, distributed algorithm for relational frequent pattern discovery from very large data sets. INTELLIGENT DATA ANALYSIS, vol. 15, p. 69-88, ISSN: 1088-467X, doi: 10.3233/IDA-2010-0456
  25. 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
  26. CECI M, CUZZOCREA A, MALERBA D (2011). Supporting Roll-Up and Drill-Down Operations over OLAP Data Cubes with Continuous Dimensions via Density-Based Hierarchical Clustering. In: Proceedings of the Nineteenth Italian Symposium on Advanced Database Systems (SEBD 2011). p. 57-65, Maratea, PZ, 26- 29 giugno 2011
  27. CECI M, LOGLISCI C, SALVEMINI E, D'ELIA D, MALERBA D (2011). Mining Spatial Association Rules for Composite Motif Discovery. In: BRUNI R.. Mathematical Approaches to Polymer Sequence Analysis and Related Problems. p. 87-109, NEW YORK:Springer, ISBN: 978-1-4419-6800-5, doi: 10.1007/978-1-4419-6800-5_5
  28. Ceci M, Loglisci C, Ferilli S, Malerba D (2011). Project D.A.M.A.: Document acquisition, management and archiving. In: Agosti M, Esposito F, Meghini C, Orio N. Digital Libraries and Archives 7th Italian Research Conference, IRCDL 2011. COMMUNICATIONS IN COMPUTER AND INFORMATION SCIENCE, vol. 249, p. 115-118, BERLIN HEIDELBERG:Springer-Verlag, ISBN: 978-364227301-8, ISSN: 1865-0929, doi: 10.1007/978-3-642-27302-5_13
  29. Ceci M, Loglisci C, Malerba D (2011). Transductive learning of logical structures from document images. In: Biba M, Xhafa F. Learning Structure and Schemas from Documents. STUDIES IN COMPUTATIONAL INTELLIGENCE, vol. 375, p. 121-142, BERLIN HEIDELBERG:Springer-Verlag, ISBN: 978-364222912-1, ISSN: 1860-949X, doi: 10.1007/978-3-642-22913-8_6
  30. LOGLISCI C, CECI M (2011). Discovering Temporal Bisociations for Linking Concepts over Time. In: GUNOPULOS D., HOFMANN T., MALERBA D., VAZIRGIANNIS M.. Machine Learning and Knowledge Discovery in Databases - European Conference, ECML PKDD 2011. Lecture Notes in Computer Science. vol. 6912, p. 358-373, Springer, ISBN: 978-3-642-23782-9, Athens, 5 September 2011 - 9 September 2011, doi: 10.1007/978-3-642-23783-6_23
  31. LOGLISCI C, CECI M, APPICE A, MALERBA D (2011). Discovering process models through relational disjunctive patterns mining. In: Proceedings of the IEEE Symposium on Computational Intelligence and Data Mining (CIDM 2011). p. 200-207, Piscataway (NJ):IEEE, ISBN: 978-1-4244-9925-0, Paris, France, April 11-15, 2011, doi: 10.1109/CIDM.2011.5949299
  32. LOGLISCI C, CECI M, APPICE A, MALERBA D (2011). Relational Disjunctive Patterns Mining for Discovering Frequent Variants in Process Models. In: Proceedings of the Nineteenth Italian Symposium on Advanced Database Systems (SEBD 2011). p. 226-237, Maratea, PZ, 26- 29 giugno 2011
  33. 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
  34. Loglisci C, Appice A, Ceci M, Malerba D, Esposito F (2011). MBlab: Molecular Biodiversity Laboratory. In: Agosti M, Esposito F, Meghini C, Orio N. Digital Libraries and Archives 7th Italian Research Conference, IRCDL 2011. COMMUNICATIONS IN COMPUTER AND INFORMATION SCIENCE, vol. 249, p. 132-135, BERLIN HEIDELBERG:Springer-Verlag, ISBN: 978-3-642-27302-5, ISSN: 1865-0929, doi: 10.1007/978-3-642-27302-5_18
  35. 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
  36. 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
  37. 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
  38. APPICE A, CECI M, LOGLISCI C (2010). Discovering Informative Syntactic Relationships between Named Entities in Biomedical Literature. In: The Second International Conference on Advances in Databases, Knowledge, and Data Applications, DBKDA 2010. p. 120-125, NEW YORK:IEEE Computer Society, ISBN: 978-076953981-2, Menuires, France, 11-16 April 2010, doi: 10.1109/DBKDA.2010.14
  39. APPICE A, CECI M, MALERBA D (2010). Transductive learning for spatial regression with co-training. In: Helder Coelho, Rudi Studer, Michael Wooldridge. SAC '10: Proceedings of the 2010 ACM Symposium on Applied Computing. p. 1065-1070, New York:ACM, ISBN: 978-1-60558-639-7, Sierre, Switzerland, 22-26 March, 2010, doi: 10.1145/1774088.1774310
  40. CECI M (2010). Transductive Learning from Textual Data with Relevant Example Selection. In: PABLO GARCIA BRINGAS AND ABDELKADER HAMEURLAIN AND GERALD QUIRCHMAYR. Database and Expert Systems Applications, 21th International Conference, DEXA 2010. LECTURE NOTES IN COMPUTER SCIENCE, vol. 6262, p. 470-484, BERLIN:Springer, ISBN: 978-364215250-4, ISSN: 0302-9743, Bilbao (Spain), 30 August 2010 - 3 September 2010, doi: 10.1007/978-3-642-15251-1_37
  41. CECI M, APPICE A, LOGLISCI C, MALERBA D (2010). Complex objects ranking: a relational data mining approach. In: Proceedings of the 2010 ACM Symposium on Applied Computing. p. 1071-1077, New York:ACM, ISBN: 978-160558638-0, Sierre, Switzerland, 22-26 March, 2010, doi: 10.1145/1774088.1774311
  42. CECI M, APPICE A, MALERBA D (2010). Time-Slice Density Estimation for Semantic-Based Tourist Destination Suggestion. In: HELDER COELHO, RUDI STUDER, MICHAEL WOOLDRIDGE. ECAI 2010 - 19th European Conference on Artificial Intelligence. FRONTIERS IN ARTIFICIAL INTELLIGENCE AND APPLICATIONS, vol. 215, p. 1107-1108, IOS Press, ISBN: 978-160750605-8, ISSN: 0922-6389, Lisbona, Portogallo, 16-20 Agosto 2010, doi: 10.3233/978-1-60750-606-5-1107
  43. CECI M, APPICE A, MALERBA D (2010). Transductive Learning for Spatial Data Classification. In: JACEK KORONACKI, ZBIGNIEW W. RAS, SLAWOMIR T. WIERZCHON, JANUSZ KACPRZYK. Advances in Machine Learning I: Dedicated to the Memory of Professor Ryszard S. Michalski. vol. 262, p. 189-207, BERLIN, HEIDELBERG:Springer, ISBN: 978-3-642-05176-0, doi: 10.1007/978-3-642-05177-7
  44. CECI M, APPICE A, MALERBA D, SCHIRONE N, TRAVERSA N.D, VALROSSO V (2010). Suggesting Tourist Destinations by means of Time-Slice Density Estimation. In: Sonia Bergamaschi, Stefano Lodi, Riccardo Martoglia, Claudio Sartori. Proceedings of the Eighteenth Italian Symposium on Advanced Database Systems, SEBD 2010. p. 94-105, BOLOGNA:Esculapio, ISBN: 978-88-7488-369-1, Rimini, Italy, June 20-23, 2010
  45. CECI M, LANOTTE P. F (2010). Hierarchical Transductive Classification from Textual Data with Relevant Example Selection. In: Sonia Bergamaschi, Stefano Lodi, Riccardo Martoglia, Claudio Sartori. Proceedings of the Eighteenth Italian Symposium on Advanced Database Systems, SEBD 2010. p. 158-169, BOLOGNA:Esculapio, ISBN: 978-88-7488-369-1, Rimini, Italy, June 20-23, 2010
  46. 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
  47. LOGLISCI C, CECI M, MALERBA D (2010). Discovering Temporal Patterns of Complex Events in Biosignal Data. In: Sonia Bergamaschi, Stefano Lodi, Riccardo Martoglia, Claudio Sartori. Proceedings of the Eighteenth Italian Symposium on Advanced Database Systems, SEBD 2010. p. 306-317, BOLOGNA:Esculapio, ISBN: 978-88-7488-369-1, Rimini, Italy, June 20-23, 2010
  48. LOGLISCI C, CECI M, MALERBA D (2010). Mining Physiological Data for Discovering Temporal Patterns on Disease Stages. In: HELDER COELHO, RUDI STUDER, MICHAEL WOOLDRIDGE. ECAI 2010 - 19th European Conference on Artificial Intelligence. FRONTIERS IN ARTIFICIAL INTELLIGENCE AND APPLICATIONS, vol. 215, p. 1117-1118, Amsterdam:IOS Press, ISBN: 978-160750605-8, ISSN: 0922-6389, Lisbona, Portogallo, 16-20 Agosto 2010, doi: 10.3233/978-1-60750-606-5-1107
  49. A. APPICE, CECI M, C. LOGLISCI, C. CARUSO, F. FUMAROLA, M. TODARO, D. MALERBA (2009). A Relational Approach to Novelty Detection in Data Streams. In: Proceedings of the Seventeenth Italian Symposium on Advanced Database Systems (SEBD 2009). p. 89-100, Seneca Edizioni, ISBN: 978-88-6122-154-3, Camogli (GE), 21-24 Giugno 2009
  50. 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
  51. A. APPICE, CECI M, V. RIZZI, M. ROMANO, D. MALERBA (2009). Spatial Regression in the Transductive Setting. In: Proceedings of the Seventeenth Italian Symposium on Advanced Database Systems (SEBD 2009). p. 297-304, TORINO:Seneca Edizioni, ISBN: 978-88-6122-154-3, Camogli (GE), 21-24 Giugno 2009
  52. 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
  53. 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
  54. 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
  55. CECI M, A. APPICE, G. DE GIOSA, G. DILEO, A. LALLO, D. MALERBA (2009). Mining preference relations to rank complex object. In: Proceedings of the Seventeenth Italian Symposium on Advanced Database Systems (SEBD 2009). p. 313-324, Seneca Edizioni, ISBN: 978-88-6122-154-3, Camogli (GE), 21-24 Giugno 2009
  56. MALERBA D, CECI M, APPICE A (2009). A relational approach to probabilistic classification in a transductive setting. ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE, vol. 22, p. 109-116, ISSN: 0952-1976, doi: 10.1016/j.engappai.2008.04.005
  57. 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
  58. 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
  59. APPICE A, CECI M, TURI A, MALERBA D (2008). Sampling Very Large Databases for Parallel and Distributed Relational Frequent Pattern Discovery. In: First International Workshop on Ubiquitous Knowledge Discovery, UKD 2008 in conjunction with ECMLPKDD 2008. Antwerp (Belgio), 19 Settembre 2008
  60. CECI M (2008). Hierarchical Text Categorization in a Transductive Setting. In: IEEE International Conference on Data Mining Workshops. p. 184-191, Los Alamitos, CA:IEEE Computer Society, ISBN: 978-0-7695-3503-6, Pisa, Italy, 15th-19th December 2008, doi: 10.1109/ICDMW.2008.126
  61. CECI M, APPICE A, MACCHIA L, MALERBA D (2008). Relational Classification based on Emerging Patterns. In: Salvatore Gaglio, Ignazio Infantino, Domenico Saccà.. SEBD 2008 - Sixteenth Italian Symposium on Advanced Database Systems. p. 45-56, Mondello(Italy), 22-25 Giugno
  62. 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
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published on 02/09/2013 ultima modifica 21/02/2014