归纳逻辑视野下的数据挖掘研究综述

Data Mining from the Perspective of Inductive Logic

对归纳逻辑思想在数据挖掘中的应用研究进行了综述。国外的研究主要集中在人工智能方面,重点是高阶归纳逻辑研究,通过多态归纳逻辑、机器学习等方面发展了归纳逻辑理论。国内的研究集中在知识发现方面,例如通过研究关联规则等探讨知识发现的内在机理。相对来说,国外的发展更偏重于应用领域,而国内也在不断扩展归纳逻辑的理论应用,但在数据挖掘领域研究仍然偏少。

The induction logic thought in data mining application of relevant research is reviewed in this paper. Foreign researches mainly focus on artificial intelligence, and the major point is the high order induction logic research. Through polymorphism inductive logic, machine learning, etc. , the inductive logic theory is developed. The domestic research focuses on the knowledge discovery, such as the formulation of association rules and discusses the inner mechanism of knowledge discovery. Relatively speaking, foreign development puts more stress on the fields of application; and the appli- cation of the inductive logic theory is also expanding domestically, but in data mining field, the study is still inadequate.