SELECTING CLASSIFICATION AND CLUSTERING TOOLS FOR ACADEMIC SUPPORT

2007 Issues in Information Systems  
Classification and clustering are powerful and popular data mining techniques. Organizations use them to capture information, retain customers, and improve business performance. This paper presents a method for selecting data mining software for an academic environment based on its classification and clustering tools. This research applies the data mining software evaluation framework to evaluate three major commercial data mining software: SAS Enterprise Miner, Clementine from SPSS, and IBM
more » ... Intelligent Miner. We added to the framework a criterion that became important in the Internet age. After ranking software on relevant criteria in the framework then purchase the best one that is affordable for academic support.
doi:10.48009/2_iis_2007_265-272 fatcat:55lkwbqskrbvbgb4jz3dhngoya