Data Mining In Time Series Databases

Mark Last, Abraham Kandel, Horst Bunke, "Data Mining In Time Series Databases"
2004 | pages: 205 | ISBN: 9812382909 | PDF | 4 mb
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.
[center]
Title: Data Mining In Time Series Databases
Size: 2.39 MB | Format: rar
Download:

Code:

http://uploaded.net/file/08dmgzp3/nwkka.D.M.I.T.S.D.R.rar
https://userscloud.com/jm8i48zagkqf/nwkka.D.M.I.T.S.D.R.rar
http://go4up.com/dl/97986438daea
http://rapidgator.net/file/cdfa50905a9edabbeccf2210a77a174e/nwkka.D.M.I.T.S.D.R.rar.html