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Automatic Selection of Data Analysis Methods.

Authors :
Godo, Lluís
Nauck, Detlef D.
Spott, Martin
Azvine, Ben
Source :
Symbolic & Quantitative Approaches to Reasoning with Uncertainty; 2005, p1014-1025, 12p
Publication Year :
2005

Abstract

Modern business face the challenge of to make use of one of there most valuable assets - data about their customers and processes - in real time in order to stay ahead of global competition. In order to achieve real time business intelligence it is necessary to automate data analysis to address the lack of available experts, empower business users and produce analysis results where and when they are required. In this paper we describe how our intelligent data analysis platform SPIDA automatically selects suitable data analysis methods for application to data analysis problems. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISBNs :
9783540273264
Database :
Supplemental Index
Journal :
Symbolic & Quantitative Approaches to Reasoning with Uncertainty
Publication Type :
Book
Accession number :
32916569
Full Text :
https://doi.org/10.1007/11518655_85