June 26, 2011
June 26, 2011
June 29, 2011
Computers in Education
22.85.1 - 22.85.11
A Practice-‐Oriented Approach to Teaching Undergraduate Data Mining Course Data mining is a fast-‐growing field of study in Computer Science and Information Systems. Many schools have developed data mining course for undergraduate students. The course content has been well defined and streamlined because of the availability of outstanding data mining textbooks. However, the focus on theoretical content of data mining makes it hard for undergraduate students to digest, and thus, compromises the overall learning outcomes. To create an effective and dynamic learning environment, we introduce a practice-‐oriented approach. This paper describes how we use the open-‐source data mining tool, RapidMiner, to enhance the learning of the core data mining topics including data preprocessing, association mining, classification for prediction, and cluster analysis. The hands-‐on experience provides students a greater insight into data mining algorithms and functionalities.
Li, D. (2011, June), A Practice-Oriented Approach to Teaching Undergraduate Data Mining Course Paper presented at 2011 ASEE Annual Conference & Exposition, Vancouver, BC. https://peer.asee.org/17367
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