Description |
1 online resource (xi, 192 pages) : illustrations |
Series |
Series in machine perception and artificial intelligence ; v. 57 |
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Series in machine perception and artificial intelligence ; v. 57.
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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.
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Distributed databases.
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Data Mining
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COMPUTERS -- Expert Systems.
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Data mining
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Distributed databases
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Exploration de données (Informatique)
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Bases de données réparties.
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Form |
Electronic book
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Author |
Last, Mark
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Kandel, Abraham
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Bunke, Horst
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LC no. |
2007273377 |
ISBN |
1423723023 |
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9781423723028 |
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9789812382900 |
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9812382909 |
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1281347760 |
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9781281347763 |
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