How Chaos Theory improves data mining in research by means of ALEV

In this paper a method for data reduction is introduced. Aspects of Lyapunov, entropy and variance (ALEV) provide an approach for mining large stocks of time series data. Methods of artificial intelligence (AI) offer two different ways for modeling observation data: the recall times of expert system...

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Bibliographische Detailangaben

Veröffentlicht in:	2008 Canadian Conference on Electrical and Computer Engineering S. 000703 - 000708
1. Verfasser:	Toplak, W.
Format:	Tagungsbericht
Sprache:	Englisch
Veröffentlicht:	IEEE 01.05.2008
Schlagworte:	Artificial intelligence Chaos Chaos Theory Computing Algorithms Data mining Database and Data Mining Entropy Expert systems Humans Information systems Neural networks Performance Evaluation Road vehicles Telecommunication traffic
ISBN:	9781424416424, 1424416426
ISSN:	0840-7789
Online-Zugang:	Volltext
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