• 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
  • 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*IA 2001), 27-30, Bari, 2001
  • M.F. Costabile, D. Malerba, M. Hemmje & A. Paradiso (1998). Building metaphors for supporting user interaction in multimedia databases - A demonstration.  Chapter 10 in Y. Ioannides and W. Klas (Eds.), Visual Database Systems 4 (VDB4), 154-160, Chapman & Hall, London.

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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