Mark Last

Senior Academic

Data mining in time series databases

Horst Bunke, Abraham Kandel, Mark Last
Adding the time dimension to real-world databases produces Time SeriesDatabases (TSDB) and introduces new aspects and difficulties to datamining and knowledge discovery. This book covers the state-of-the-artmethodology for mining time series databases. The novel data miningmethods presented in the book include techniques for efficientsegmentation, indexing, and classification of noisy and dynamic timeseries. A graph-based method for anomaly detection in time series isdescribed and the book also studies the implications of a novel andpotentially useful representation of time series as strings.
Publication language English
Publication status Published - 2004

ULI Publication

Algorithmic knowledge discovery
Data mining
Distributed data bases
Distributed database systems
Distributed databases
Factual data analysis
KDD (Information retrieval)
Knowledge discovery in data
Knowledge discovery in databases
Mining, Data
uli
Access to Document
10.1142/5210