Data mining project: a critical element in teaching, learning and assessment of a data mining module

Authors:
Hongbo Du
Affiliations:
Department of Applied Computing, University of Buckingham, Buckingham, United Kingdom
Venue:
BNCOD'11 Proceedings of the 28th British national conference on Advances in databases
Year:
2011

Citing 3
Cited 0

Mastering Data Mining: The Art and Science of Customer Relationship Management

Mastering Data Mining: The Art and Science of Customer Relationship Management
Data Mining in Action: Case Studies of Enrollment Management: New Directions for Institutional Research, Volume 131 (J-B IR Single Issue Institutional Research)

Data Mining in Action: Case Studies of Enrollment Management: New Directions for Institutional Research, Volume 131 (J-B IR Single Issue Institutional Research)
Data Mining: Practical Machine Learning Tools and Techniques

Data Mining: Practical Machine Learning Tools and Techniques

Quantified Score

Hi-index	0.00

Visualization

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.