Knowledge Discovery and Data Engineering Research Group

Last update:
June 05, 2018, 12:47


Permanent staff


Non permanent staff

  • Dr. Corrado Loglisci, assistant professor
  • Dr. Gianvito Pio, research associate
  • Dr. Francesco Serafino, postdoc research associate
  • Dr. Roberto Corizzo, postdoc research associate
  • Michele Spagnoletta, industrial Ph.D. student
  • Paolo Mignone, Ph.D. student
  • Angelo Impedovo, Ph.D. student
  • Emanuele Pio Barracchia, Ph.D. student

Past staff members (collaborations still ongoing)

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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