Knowledge Discovery and Data Engineering Research Group



Last update:
June 05, 2018, 12:47

Research

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

Data Engineering

Distributed Algorithms and Models

 

Applications

Document Image Analysis and Recognition

Bioinformatics and Medical Informatics

Network  Traffic Analysis

Social Network Analysis

Information extraction

Business Process Management and Web Service

Wireless Sensor Network

Environmental monitoring

Smart mobility

Map interpretation


 

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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