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Synergies of Soft Computing and Statistics for Intelligent Data Analysis
Langbeschreibung
In recent years there has been a growing interest to extend classical methods for data analysis.The aim is to allow a more flexible modeling of phenomena such as uncertainty, imprecision or ignorance.
Such extensions of classical probability theory and statistics are useful in many real-life situations, since uncertainties in data are not only present in the form of randomness --- various types of incomplete or subjective information have to be handled.
About twelve years ago the idea of strengthening the dialogue between the various research communities in the field of data analysis was born and resulted in the International Conference Series on Soft Methods in Probability and Statistics (SMPS).
Such extensions of classical probability theory and statistics are useful in many real-life situations, since uncertainties in data are not only present in the form of randomness --- various types of incomplete or subjective information have to be handled.
About twelve years ago the idea of strengthening the dialogue between the various research communities in the field of data analysis was born and resulted in the International Conference Series on Soft Methods in Probability and Statistics (SMPS).
Inhaltsverzeichnis
PART I Invited Papers.- PART II Foundations.- PART III Statistical Methods.- PART IV Mathematical Aspects.- PART V Engineering.
ISBN-13:
9783642330421
Veröffentl:
2012
Seiten:
584
Autor:
Rudolf Kruse
Serie:
190, Advances in Intelligent Systems and Computing
eBook Typ:
PDF
eBook Format:
EPUB
Kopierschutz:
1 - PDF Watermark
Sprache:
Englisch
213,99 €*
Lieferzeit: Sofort lieferbar
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