ISBN-13: 9789812382900 / Angielski / Twarda / 2004 / 204 str.
An examination of state-of-the-art methodology for mining time series databases. The data mining methods presented 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.