Computational Intelligence Techniques for Data Analysis

Zusammenfassung
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.
  • Vollständige Referenz
  • 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}
}
DateienGroesseFormatAnzeige
GI-Proceedings.72-1.pdf507.2Kb PDF Öffnen

Haben Sie fehlerhafte Angaben entdeckt? Sagen Sie uns Bescheid: Feedback abschicken

Mehr Information

ISBN: 3-88579-401-2
ISSN: 1617-5468
Datum: 2005
Sprache: en (en)
Typ: Text/Conference Paper
Sammlungen

Zur Langanzeige