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Data Mining In Time Series Databases (Series in Machine Perception and Artificial Intelligence) [Hardcover]

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Item description for Data Mining In Time Series Databases (Series in Machine Perception and Artificial Intelligence) by Mark Last...

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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Item Specifications...


Studio: World Scientific Publishing Company
Pages   192
Est. Packaging Dimensions:   Length: 9.21" Width: 5.91" Height: 0.79"
Weight:   0.97 lbs.
Binding  Hardcover
Publisher   World Scientific Pub Co Inc
ISBN  9812382909  
ISBN13  9789812382900  


Availability  0 units.


More About Mark Last


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Product Categories

1Books > Special Features > New & Used Textbooks
2Books > Subjects > Computers & Internet > Computer Science > Artificial Intelligence > General
3Books > Subjects > Computers & Internet > Computer Science > Artificial Intelligence
4Books > Subjects > Computers & Internet > Databases > Data Storage & Management > Data Mining
5Books > Subjects > Computers & Internet > Databases > General
6Books > Subjects > Computers & Internet > General
7Books > Subjects > Professional & Technical > Professional Science > Mathematics > Applied > Statistics
8Books > Subjects > Science > Mathematics > Applied > Probability & Statistics



Reviews - What do customers think about Data Mining In Time Series Databases (Series in Machine Perception and Artificial Intelligence)?

An unremarkable selection of research articles  Mar 17, 2009
This thin book presents eight academic papers discussing handling of sequences. I did not find any of them interesting on its own or good as a survey, but academics doing research in machine learning may disagree. If you are one, you most likely can get the original papers. If you are a practitioner, pass without a second thought.
 

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