Automatic selection of data analysis methods

Authors:
Detlef D. Nauck;Martin Spott;Ben Azvine
Affiliations:
BT, Research and Venturing, Intelligent Systems Research Centre, Ipswich, UK;BT, Research and Venturing, Intelligent Systems Research Centre, Ipswich, UK;BT, Research and Venturing, Intelligent Systems Research Centre, Ipswich, UK
Venue:
ECSQARU'05 Proceedings of the 8th European conference on Symbolic and Quantitative Approaches to Reasoning with Uncertainty
Year:
2005

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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.