Data-driven evolution of data mining algorithms

Authors:
Padhraic Smyth;Daryl Pregibon;Christos Faloutsos
Affiliations:
University of California, Irvine.;AT&T Labs, Research, Florham Park, NJ.;Carnegie Mellon University, Pittsburgh, PA.
Venue:
Communications of the ACM - Evolving data mining into solutions for insights
Year:
2002

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Fundamentally, these algorithms are driven by the nature of the data being analyzed, in both scientific and commercial applications.