Data mining: The next generation

Abstract

Data Mining has enjoyed great popularity in recent years, with advances in both research and commercialization. The first generation of data mining research and development has yielded several commercially available systems, both stand-alone and integrated with database systems, produced scalable versions of algorithms for many classical data mining problems and introduced novel pattern discovery problems. In July 2004 researchers from a variety of backgrounds assembled at the Dagstuhl Conference Center in Germany for a workshop to re-assess the current directions of the field, to identify critical problems that require attention, and to discuss ways to increase the flow of ideas across the different disciplines that Data Mining has brought together. The workshop did not seek to draw up an agenda for the field of data mining. Rather, it offers the participants' perspective on two technical directions - compositionality and privacy - and describes some important application challenges which drove the discussion.