Data Mining In Time Series And Streaming Databases Pdf

Data Mining In Time Series And Streaming Databases Pdf

Data Mining In Time Series And Streaming Databases Pdf

Data Mining In Time Series And Streaming Databases Pdf

About the book:

Data Mining In Time Series And Streaming Databases Book

Author: Mark Last, Horst Bunke, Abraham Kandel

Series: Series in Machine Perception and Artificial Intelligence (Book 57)

Publisher: World Scientific Pub Co Inc

Publish date: (June 29, 2004)

ISBN-10: 9812382909

ISBN-13: 978-9812382900

Pages: 192 eBook pages can be different

Language: English

Genres: Data Mining

Review

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.

Data Mining In Time Series And Streaming Databases Pdf

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