Könyv Data Mining In Time Series Databases Kandel Abraham

Data Mining In Time Series Databases

Szerző: Kandel Abraham
Nyelv: Angol
Kötés: Kemény kötésű
Elérhetőség: 50 % esély
Keressük az egész világon
50 270 Ft
Adding the time dimension to real-world databases produces Time Series Databases (TSDB) and introduc...

Információk a könyvről

Szerző
Nyelv
Angol
Kötés
Könyv - Kemény kötésű
Kiadva
2004
oldal
204
EAN
9789812382900
ISBN
9812382909
Enbook ID
05067447
Súly
431
Méretek
157 x 229 x 18

Teljes leírás

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 manual examines 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 text 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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