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. © Springer-Verlag Berlin Heidelberg 2005.
Cite
CITATION STYLE
Nauck, D. D., Spott, M., & Azvine, B. (2005). Automatic selection of data analysis methods. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 3571 LNAI, pp. 1014–1025). Springer Verlag. https://doi.org/10.1007/11518655_85
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