Data Mining In Time Series Databases
Mark Last, Abraham Kandel, Horst Bunke
Adding the time dimension to real-world databases produces Time Series Databases (TSDB) and introduces new aspects and difficulties to data mining and knowledge discovery. This book covers the state-of-the-art methodology for mining time series databases. The novel data mining methods presented in the book include techniques for efficient segmentation, indexing, and classification of noisy and dynamic time series. A graph-based method for anomaly detection in time series is described and the book also studies the implications of a novel and potentially useful representation of time series as strings. The problem of detecting changes in data mining models that are induced from temporal databases is additionally discussed.
Categories:
Year:
2004
Publisher:
World Scientific
Language:
english
Pages:
205
ISBN 10:
1423723023
ISBN 13:
9789812382900
Series:
Series in machine perception and artificial intelligence v.57
File:
PDF, 3.96 MB
IPFS:
,
english, 2004