感兴趣度的研究综述

摘要：

In KDD,there are a number of patterns and rules discovered from large database by data mining,but most of them are of no interestingness to the user. How to get those that are useful and in-teresting is crucial. Therefore it is of great value to discuss the measures of interestingness of discovered patterns. Such measures of interestingness are divided into objective measures and subjective measures.The two kinds of measures of interestingness are respectively discussed in the paper.

关键词：Knowledge discovery、Measures of interestingness、Objective measure、Subjective measure

所属期刊栏目：28

分类号：TP39(计算技术、计算机技术)

资助基金：国家自然科学基金69835001

在线出版日期：2004-01-08（万方平台首次上网日期，不代表论文的发表时间）

页数：共3页

页码：43-45