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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Idioma Inglés ● Formato PDF ● Páginas 204 ● ISBN 9789812565402 ● Tamaño de archivo 3.8 MB ● Editor Horst Bunke & Abraham Kandel ● Editorial World Scientific Publishing Company ● Ciudad Singapore ● País SG ● Publicado 2004 ● Descargable 24 meses ● Divisa EUR ● ID 2445152 ● Protección de copia Adobe DRM
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