DATA MINING IN TIME SERIES DATABASE(V57)
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DATA MINING IN TIME SERIES DATABASE(V57)

Sofort lieferbar | Lieferzeit: Sofort lieferbar I
ISBN-13:
9789812565402
Veröffentl:
2004
Seiten:
204
Autor:
Horst Bunke
eBook Typ:
PDF
eBook Format:
Reflowable
Kopierschutz:
Adobe DRM [Hard-DRM]
Sprache:
Englisch
Beschreibung:

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.

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