Computational Intelligence Techniques for Data Analysis

Abstract
The paper is a survey of the computational intelligence methods and their application to the data analysis problems. Neural networks, fuzzy sets, neuro-fuzzy systems, and genetic algorithms are considered. The advantages and disadvantages of the soft computing tools as well as specific issues of their application to data processing are analyzed, and the directions for their further improvement are outlined. New clustering algorithms that can operate under substantial uncertainty and cluster overlap are proposed.
  • Citation
  • BibTeX
Bodyanskiy, Y., (2005). Computational Intelligence Techniques for Data Analysis. In: Jantke, K. P., Fähnrich, K.-P. & Wittig, W. S. (Hrsg.), Marktplatz Internet: Von e-Learning bis e-Payment, 13. Leipziger Informatik-Tage (LIT 2005). Bonn: Gesellschaft für Informatik e. V.. (S. 15-36).
@inproceedings{mci/Bodyanskiy2005,
author = {Bodyanskiy, Yevgeniy},
title = {Computational Intelligence Techniques for Data Analysis},
booktitle = {Marktplatz Internet: Von e-Learning bis e-Payment, 13. Leipziger Informatik-Tage (LIT 2005)},
year = {2005},
editor = {Jantke, Klaus P. AND Fähnrich, Klaus-Peter AND Wittig, Wolfgang S.} ,
pages = { 15-36 },
publisher = {Gesellschaft für Informatik e. V.},
address = {Bonn}
}
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ISBN: 3-88579-401-2
ISSN: 1617-5468
xmlui.MetaDataDisplay.field.date: 2005
Language: en (en)
Content Type: Text/Conference Paper
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