June 15, 2019
June 15, 2019
June 19, 2019
Computing and Information Technology
Abstract Data mining combines tools from statistics, neural networks, and machine learning with database management to analyze large data sets. It is a well-researched area of computer science with high demand due to its usefulness in any field with large quantities of data, where meaningful patterns and rules can be extracted. Therefore, many organizations and businesses can benefit from data mining techniques, as these organizations record a massive amount of data daily. The field of Data Mining is growing rapidly and there is increasing interest in providing students with a foundation in this area. It is crucial that the emerging field of Data Mining be integrated into the Computer Science curricula. This paper will study different approaches that are used by different institutions of higher education to integrate Data Mining concepts into their curriculum. And finally makes recommendation that how it should be taught in undergraduate computer science program and what to include in that course(s) in general and specifically in our institution.
Sanati-Mehrizy, R., & Parkinson, K., & Vaziripour, E., & Minaie, A. (2019, June), Data Mining Course in the Undergraduate Computer Science Curriculum Paper presented at 2019 ASEE Annual Conference & Exposition , Tampa, Florida. 10.18260/1-2--32576
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