Proceedings of the 6th ACM/IEEE-CS joint conference on Digital libraries
Dynamics of modeling in data mining: interpretive approach to bankruptcy prediction
Journal of Management Information Systems - Special section: Data mining
Software Functionality: A Game Theoretic Analysis
Journal of Management Information Systems
Characterising Data Mining software
Intelligent Data Analysis
Data mining research for customer relationship management systems: a framework and analysis
International Journal of Business Information Systems
Evaluating and selecting software packages: A review
Information and Software Technology
Knowledge-based scenario management - Process and support
Decision Support Systems
Computer Methods and Programs in Biomedicine
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As data mining evolves and matures more and more businesses are incorporating this technology into their business practices. However, currently data mining and decision support software is expensive and selection of the wrong tools can be costly in many ways. This paper provides direction and decision-making information to the practicing professional. A framework for evaluating data mining tools is presented and a methodology for applying this framework is described. Finally a case study to demonstrate the method's effectiveness is presented. This methodology represents the first-hand experience using many of the leading data mining tools against real business data at the Center for Data Insight (CDI) at Northern Arizona University (NAU). This instrument is designed to accommodate differences in environments and problem domains.