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 manual examines 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 text 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.
發表於2025-01-13
Data Mining In Time Series Databases 2025 pdf epub mobi 電子書 下載
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看瞭序言,主要分為四個問題,但總覺問題有交叉,是否是具有相似性?每章都想讀,fighting
評分看瞭序言,主要分為四個問題,但總覺問題有交叉,是否是具有相似性?每章都想讀,fighting
評分看瞭序言,主要分為四個問題,但總覺問題有交叉,是否是具有相似性?每章都想讀,fighting
評分看瞭序言,主要分為四個問題,但總覺問題有交叉,是否是具有相似性?每章都想讀,fighting
評分看瞭序言,主要分為四個問題,但總覺問題有交叉,是否是具有相似性?每章都想讀,fighting
Data Mining In Time Series Databases 2025 pdf epub mobi 電子書 下載