A Statistical Perspective On Knowledge Discovery In Databases

The quest to nd models usefully characterizing data is a process central to the scienti c method, and has been carried out on many fronts. Researchers from an expanding number of elds have designed algorithms to discover rules or equations that capture key relationships between variables in a database. The task of this chapter is to provide a perspective on statistical techniques applicable to KDD; accordingly, we review below some major advances in statistics in the last few decades. We next highlight some distinctives of what may be called a statistical viewpoint." Finally we overview some in uential classical and modern statistical methods for practical model induction. 4.1 Recent Statistical Contributions It wouldbe unfortunate ifthe KDD communitydismissed statistical methods on the basis of courses that they took on statistics several to many years ago. The following provides a rough chronology of recent" signi cant contributions in statistics that are relevant to the K...

• Type: Conference
• Year: 1995
• Where: KDD
• Authors: John F. Elder IV, Daryl Pregibon
• Keywords: Data Mining, KDD 1995, Modern Statistical Methods, Statistical Methods, Unfortunate Ifthe Kdd