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.
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Nauck, D.D., Spott, M., Azvine, B. (2005). Automatic Selection of Data Analysis Methods. In: Godo, L. (eds) Symbolic and Quantitative Approaches to Reasoning with Uncertainty. ECSQARU 2005. Lecture Notes in Computer Science(), vol 3571. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11518655_85
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DOI: https://doi.org/10.1007/11518655_85
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-27326-4
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