A Tools-Based Approach to Teaching Data Mining Methods

نویسندگان

  • John Beachboard
  • Musa J. Jafar
چکیده

Data mining is an emerging field of study in Information Systems programs. Although the course content has been streamlined, the underlying technology is still in a state of flux. The purpose of this paper is to describe how we utilized Microsoft Excel’s data mining add-ins as a front-end to Microsoft’s Cloud Computing and SQL Server 2008 Business Intelligence platforms as backends to teach a senior level data mining methods class. The content presented and the hands on experience gained have broader applications in other areas, such as accounting, finance, general business, and marketing. Business students benefit from learning data mining methods and the usage of data mining tools and algorithms to analyze data for the purpose of decision support in their areas of specialization.

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تاریخ انتشار 2009