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Data Mining in Time Series Databases (Series in Machine Perception and Artifical Intelligence)

Mark Last, Abraham Kandel, Horst Bunke




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 | #8544267 in Books |  2004-06-29 | Original language:English | PDF # 1 |  9.00 x.70 x6.20l,.95 | File type: PDF | 192 pages

||3 of 3 people found the following review helpful.| An unremarkable selection of research articles|By Dimitri Shvorob|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

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...

You can specify the type of files you want, for your device.Data Mining in Time Series Databases (Series in Machine Perception and Artifical Intelligence)   |  Mark Last, Abraham Kandel, Horst Bunke. I really enjoyed this book and have already told so many people about it!

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