Abstract
We propose a novel approach of knowledge discovery method by adopting dashboard concept and incorporating elements of data clustering, visualization and knowledge codification. The dashboard was designed to help the higher institution to explore the insight of student performance by analyzing significant patterns and tacit knowledge of the experts in order to improve decision making process. The system has been developed using system development life cycle (SDLC) methodology and coded in web-based and open source environment. The dashboard architecture and software are presented in this paper.
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© 2008 Springer-Verlag Berlin Heidelberg
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Mohd, W.M.B.W., Embong, A., Mohd Zain, J. (2008). A Knowledge-Based Digital Dashboard for Higher Learning Institutions. In: Daelemans, W., Goethals, B., Morik, K. (eds) Machine Learning and Knowledge Discovery in Databases. ECML PKDD 2008. Lecture Notes in Computer Science(), vol 5212. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-87481-2_47
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DOI: https://doi.org/10.1007/978-3-540-87481-2_47
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-87480-5
Online ISBN: 978-3-540-87481-2
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