Trinity College Dublin, Department of Computer Science
Tsymbal, Alexey. 'Does Relevance Matter to Data Mining Research?'. - Dublin, Trinity College Dublin, Department of Computer Science, TCD-CS-2006-24, 2006, pp23
Computer Science Technical Report TCD-CS-2006-24
Data mining (DM) and knowledge discovery are intelligent tools that help to
accumulate and process data and make use of it. We review several existing
frameworks for DM research that originate from different paradigms. These DM
frameworks mainly address various DM algorithms for the different steps of the
DM process. Recent research has shown that many real-world problems require
integration of several DM algorithms from different paradigms in order to
produce a better solution elevating the importance of practice-oriented aspects
also in DM research. In this paper we strongly emphasize that DM research
should also take into account the relevance of research, not only the rigor of it.
Under relevance of research in general, we understand how good this research is
in terms of the utility of its results. This chapter motivates development of such a
new framework for DM research that would explicitly include the concept of
relevance. We introduce the basic idea behind such framework and propose one
sketch for the new framework for DM research based on results achieved in the
information systems area having some tradition related to the relevance aspects of
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