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E-book

Title Data mining in time series databases / editors, Mark Last, Abraham Kandel, Horst Bunke
Published New Jersey ; London : World Scientific, ©2004

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Description 1 online resource (xi, 192 pages) : illustrations
Series Series in machine perception and artificial intelligence ; v. 57
Series in machine perception and artificial intelligence ; v. 57.
Contents Segmenting time series : a survey and novel approach / E. Keogh [and others] -- A survey of recent methods for efficient retrieval of similar time sequences / M.L. Hetland -- Indexing of compressed time series / E. Fink and K.B. Pratt -- Indexing time-series under conditions of noise / M. Vlachos, D. Gunopulos, and G. Das -- Change detection in classification models induced from time series data / G. Zeira [and others] -- Classification and detection of abnormal events in time series of graphs / H. Bunke and M. Kraetzl -- Boosting interval-based literals : variable length and early classification / C.J. Alonso González and J.J. Rodríguez Diez -- Median strings : a review / X. Jiang, H. Bunke, and J. Csirik
Summary 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
Bibliography Includes bibliographical references
Notes Print version record
Subject Data mining.
Distributed databases.
Data Mining
COMPUTERS -- Expert Systems.
Data mining
Distributed databases
Exploration de données (Informatique)
Bases de données réparties.
Form Electronic book
Author Last, Mark
Kandel, Abraham
Bunke, Horst
LC no. 2007273377
ISBN 1423723023
9781423723028
9789812382900
9812382909
1281347760
9781281347763