Applying Data Mining Research Methodologies on Information Systems

M.B. Hammawa* and G. Sampson

Department of Computer Science, University of Abuja, Abuja (Nigeria).

ABSTRACT:

In this paper we considered several frameworks for data mining. These frameworks are based on different approaches, including inductive databases approach, the reductionist statistical approaches, data compression approach, constructive induction approach and some others. We considered advantages and limitations of these frameworks. We presented the view on data mining research as continuous and never- ending development process of an adaptive DM system towards the efficient utilization of available DM techniques for solving a current problem impacted by the dynamically changing environment. We discussed one of the traditional information systems frameworks and, drawing the analogy to this framework, we considered a data mining system as the special kind of adaptive information system. We adapted the information systems development framework for the context of data-mining systems development.

KEYWORDS: Data Mining; Information Systems; Knowledge Discovery Databases

Copy the following to cite this article: Hammawa M. B, Sampson G. Applying Data Mining Research Methodologies on Information Systems. Orient. J. Comp. Sci. and Technol;4(2)

Copy the following to cite this URL: Hammawa M. B, Sampson G. Applying Data Mining Research Methodologies on Information Systems. Orient. J. Comp. Sci. and Technol;4(2). Available from: http://www.computerscijournal.org/?p=2459

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