Applying Data Mining Research Methodologies on Information Systems

M. B. Hammawa, Grace Samson

Research output: Contribution to journalArticlepeer-review


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.
Original languageEnglish
Number of pages11
JournalOriental Journal of Computer Science
Publication statusPublished - 10 Aug 2011
Externally publishedYes


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