[PDF.62oj] Data Mining in Time Series Databases (Series in Machine Perception and Artifical Intelligence)

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

[PDF.nj86] Data Mining in Time Series Databases (Series in Machine Perception and Artifical Intelligence)

Data Mining in Time  Mark Last, Abraham Kandel, Horst Bunke epub
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 | #7693354 in Books |  2004-06-29 | Original language:English | PDF # 1 |  9.00 x.70 x6.20l,.95 | File type: PDF | 192 pages

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||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 easily download any file type for your device.Data Mining in Time Series Databases (Series in Machine Perception and Artifical Intelligence)   |  Mark Last, Abraham Kandel, Horst Bunke. Just read it with an open mind because none of us really know.

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