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.
|Place of Publication||New Jersey|
|Number of pages||192|
|ISBN (Electronic)||1281347760, 1423723023, 9781423723028, 9786611347765, 9789812382900, 9812382909, 981256540X|
|State||Published - 2004|
|Name||Series in machine perception and artificial intelligence|