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Last Mark, Mark Last, Marina Litvak, Lin Miao
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DATA MINING IN TIME SERIES DATABASES
Inbunden, Engelska, 2004
Del 57 i serien SERIES IN MACHINE PERCEPTION AND ARTIFICIAL INTELLIGENCE
1 970 kr
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Beskrivning
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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