Philosophies and methodologies for knowledge discovery

摘要

At its inception in the mid 1990’s, Knowledge Discovery in Databases (KDD) was portrayed/defined 1nas a new cohesive discipline, formed from the confluence of statistics, machine-learning and informationnsystems, with the aim being “to discover by automatic means useful new knowledge from large andncomplex data stored in databases”. Data mining (DM), often taken to be synonymous to KDD, or antechnical component of KDD, is strictly speaking more general than KDD since the italicized part of thenabove definition of KDD is dropped.