Comparing Four-Selected Data Mining Software

Richard S. Segall; Qingyu Zhang

doi:10.4018/978-1-60566-060-8.ch103

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Comparing Four-Selected Data Mining Software

Richard S. Segall (Arkansas State University, USA) and Qingyu Zhang (Arkansas State University, USA)

Source Title: Software Applications: Concepts, Methodologies, Tools, and Applications

DOI: 10.4018/978-1-60566-060-8.ch103

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Abstract

This chapter discusses four-selected software for data mining that are not available as free opensource software. The four-selected software for data mining are SAS® Enterprise MinerTM, Megaputer PolyAnalyst® 5.0, NeuralWare Predict® and BioDiscovery GeneSight®, each of which was provided by partnerships with our university. These software are described and compared by their existing features, characteristics, and algorithms and also applied to a large database of forest cover types with 63,377 rows and 54 attributes. Background on related literature and software are also presented. Screen shots of each of the four-selected software are presented, as are future directions and conclusions.

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Comparing Four-Selected Data Mining Software

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