Data mining in time series databases

✍ Scribed by Mark Last, Abraham Kandel, Horst Bunke

Publisher: World Scientific
Year: 2004
Tongue: English
Leaves: 205
Series: Series in machine perception and artificial intelligence v.57
Category: Library

No coin nor oath required. For personal study only.

✦ Synopsis

This thin book presents eight academic papers discussing handling of sequences. I did not find any of them interesting on its own or good as a survey, but academics doing research in machine learning may disagree. If you are one, you most likely can get the original papers. If you are a practitioner, pass without a second thought.

✦ Table of Contents

Team-kb......Page 1
Contents......Page 12
Segmenting Time Series: A Survey And Novel Approach......Page 14
A Survey Of Recent Methods For Efficient Retrieval Of Similar Time Sequences......Page 36
Indexing Of Compressed Time Series......Page 56
Indexing Time-series Under Conditions Of Noise......Page 80
Change Detection In Classification Models Induced From Time Series Data......Page 114
Classification And Detection Of Abnormal Events In Time Series Of Graphs......Page 140
Þÿ......Page 162
Median Strings: A Review......Page 186

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