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.
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