Data Mining In Time Series Databases (Series in Machine Perception and Artificial Intelligence)
Contributors: Mark Last (Editor); Abraham Kandel (Editor); Horst Bunke (Editor)
Publisher: World Scientific Pub Co Inc; World Scientific; World Scientific Publishing Company
Published: November 2004
Language: eng
Format: Hardcover
Number of pages: 192
ISBN-13: 9789812382900
Subjects: Artificial intelligence; Databases & data structures; Probability & Statistics - General; Computers; Computer Books: Database; Database Management - Database Mining; Database Management - General
First sentence: In recent years, there has been an explosion of interest in mining time series databases.
Description: "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."--BOOK JACKET.