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

Data Mining In Time Series Databases (Series in Machine Perception and Artificial Intelligence)
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Data Mining In Time Series Databases (Series in Machine Perception and Artificial Intelligence) Description

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Adding temporal dimension of real databases produces Time Series Databases (TSDB) and introduces new aspects and difficulties in data mining and information discovery. This book covers the methodology on the state of the art database mining series. New strategies of data mining in the book include methods of segmentation, indexing and the actual classification of noisy and dynamic time series. A technique based on graphs for anomaly detection in time series is described and the book also examines the implications of a new and potentially valuable representation of chains of series. The difficulty of detecting changes in data mining models that are induced by temporal databases is also discussed. Information Mining In Time Series Databases (Series in Machine Perception and Artificial Intelligence)

\n\nInformation Mining In Time Series Databases (Series in Machine Perception and Artificial Intelligence) Ebook

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