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Data Mining in Time Series Databases
Abraham KandelHorst BunkeMark Last
出版World Scientific, 2004
主題Computers / Artificial Intelligence / Expert Systems
ISBN981256540X9789812565402
URLhttp://books.google.com.hk/books?id=zr5gDQAAQBAJ&hl=&source=gbs_api
EBookSAMPLE
註釋Adding the time dimension to real-world databases produces Time SeriesDatabases (TSDB) and introduces new aspects and difficulties to datamining and knowledge discovery. This book covers the state-of-the-artmethodology for mining time series databases. The novel data miningmethods presented in the book include techniques for efficientsegmentation, indexing, and classification of noisy and dynamic timeseries. A graph-based method for anomaly detection in time series isdescribed and the book also studies the implications of a novel andpotentially useful representation of time series as strings. Theproblem of detecting changes in data mining models that are inducedfrom temporal databases is additionally discussed.