Abstract
Data mining has been introduced into computing curricula. A data mining module should emphasise not only the technical but also the practical sides of the subject. This paper stresses the importance of using a data mining project as a critical element of the coursework. The paper outlines the intended learning outcomes and the expectations from students. The paper proposes a framework for project administration and assessment. By using a number of past projects as case studies, the paper demonstrates the project work involved and summarises good and bad experiences in running the project. The paper highlights the uncertain nature of data mining and consequent challenges and difficulties. The paper is intended to contribute towards a wider debate over the best practices in teaching, learning and assessment of data mining.
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Du, H. (2011). Data Mining Project: A Critical Element in Teaching, Learning and Assessment of a Data Mining Module. In: Fernandes, A.A.A., Gray, A.J.G., Belhajjame, K. (eds) Advances in Databases. BNCOD 2011. Lecture Notes in Computer Science, vol 7051. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-24577-0_22
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DOI: https://doi.org/10.1007/978-3-642-24577-0_22
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-24576-3
Online ISBN: 978-3-642-24577-0
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