An Overview of Database Mining Techniques.
Bob Kero, Lucian Russell, Shalom Tsur⋆, Wei‐Min Shen · 1995
This paper presents an overview of data mining techniques in the context of of the deductive-inductive cycle model. The claim made in this paper is that a combination of both of these modes of inference in one model offers adavantages over the exclusive use of either induction or deduction. After an introduction of the model, the paper describes an architecture of the Knowledge Miner environment and its relation to the LDL++ deductive database technology. In particular, it defines the notion of a meta query and shows how this concept can be used to take advantage of the full power of a deductive data base system. The paper mentions a number of inductive methods that can be used within this framework and describes some data mining experiments performed with the Knowledge Miner. 1 Introduction Very large collections of data often serve as a corporate resource---to be used for a variety of purposes, many of which are unknown or unspecified at the time of collection. The term Database M...