Demo

  • Annalisa Appice, Michelangelo Ceci, Corrado LOGLISCI, Giuseppe Manco, Elio Masciari, Zbigniew W. Ras. New Frontiers in Mining Complex Patterns. Third International Workshop, NFMCP 2014, held in conjunction with ECML-PKDD 2014, Nancy, France, September 19, 2014, Revised Selected Papers NFMCP 2015
  • Annalisa Appice, Michelangelo Ceci, Corrado LOGLISCI, Elio Masciari, Giuseppe Manco. Mining complex patterns. J. Intell. Inf. Syst. (JIIS) 42(2):179-180 (2014)
  • Appice A, Ceci M, Loglisci C, Manco G, Masciari E, Ras Z W (a cura di) (2014). New Frontiers in Mining Complex Patterns. Second International Workshop, NFMCP 2013, held in conjunction with ECML-PKDD 2013, Prague, Czech Republic, September 27, 2013, Revised Selected Papers. LECTURE NOTES IN COMPUTER SCIENCE, vol. 8399, BERLIN HEIDELBERG:Springer-Verlag, ISBN: 978-3-319-08406-0, ISSN: 0302-9743, doi: 10.1007/978-3-319-08407-7
  • 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, Revised 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
  • Appice A, Ceci M, Loglisci C, Manco G, Masciari E, Ras Z (a cura di) (2012). Proceedings of the ECMLPKDD 2012 workshop on "New Frontiers on Mining Complex Patterns".
  • APPICE A, CECI M, LOGLISCI C, MANCO G (a cura di) (2011). Proceedings of the AI*IA Workshop on Mining Complex Patterns (MCP 2011)
  • 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)
  • MALERBA D, APPICE A, CECI M (a cura di) (2007). ECML/PKDD 2007 Workshop on “Multi Relational Data Mining”.
  • CECI M, MALERBA D, TANCA L (a cura di) (2007). Proceedings of the Fifteenth Italian Symposium on Advanced Database Systems. SEBD 2007. BARI, Dipartimento di Informatica, Università di Bari, ISBN: 978-88-902981-0-3.
  • GORI M, CECI M, NANNI M (a cura di) (2004). Proceedings of the ECML/PKDD 2004 Workshop on “Statistical Approaches for Web Mining”.
  • P. Brito & D. Malerba (Eds.) (2002). Proceedings of the ECML/PKDD Workshop on "Mining Official Data", Helsinki University Printing House, Helsinki, ISBN: 952-10-0637-4.
  • F. Esposito & D. Malerba (2000). Proceedings of the ECAI 2000 Workshop on "Machine Learning in Computer Vision", Berlin, Germany.
  • P. Brito, J., Costa &D. Malerba (2000). Proceedings of the ECML 2000 Workshop on "Dealing with Structured Data in Machine Learning and Statistics", Barcelona.

Data Mining Techniques in Sensor Networks

The KDDE group has recently published the book entitled Data Mining Techniques in Sensor Networks, Summarization, Interpolation and Surveillance.

Book cover

Authors: Appice, A., Ciampi, A., Fumarola, F., Malerba, D.

Introduces the trend cluster, a recently defined spatio-temporal pattern, and its use in summarizing, interpolating and identifying anomalies in sensor networks.

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.

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