Data Mining and Knowledge Discovery
Multi-relational Data Mining, Spatial Data Mining, Temporal Data Mining, Spatio-temporal Data Mining, Text Mining, Web Mining, Data Stream Mining, Data Mining Query Language
Analysis and synthesis of algorithms for inductive inference: classification and regression/model trees
Clustering, Association Rule discovery, Associative Classification
Inductive logic programming
Symbolic Data Analysis
Distributed Algorithms and Models
Document Image Analysis and Recognition
Bioinformatics and Medical Informatics
Network Traffic Analysis
Social Network Analysis
Business Process Management and Web Service
Wireless Sensor Network
The KDDE group has recently published the book entitled Data Mining Techniques in Sensor Networks, Summarization, Interpolation and Surveillance.
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 presentations have to be based on this template.
Group members and students who are taking a degree, are invited to use it.