Mining negative contrast sets from data with discrete attributes

Tzu Tsung Wong, Kuo Lung Tseng

研究成果: Article同行評審

13 引文 斯高帕斯(Scopus)

摘要

Negative contrast sets show that the relationships between the existence of some characteristics and the nonexistence of some other characteristics for various groups are significantly different. These sets can provide additional information for making decisions. Mining positive contrast sets like 'X and Y' is relatively straightforward and computationally efficient with respect to mining negative contrast sets like 'not X and Y'. In this paper, we propose an algorithm to discover negative contrasts sets across groups, and establish some properties to accelerate the execution of the algorithm. It is then applied on an insurance data set to find meaningful negative contrast sets that can assist in designing insurance programs for various types of customers.

原文English
頁(從 - 到)401-407
頁數7
期刊Expert Systems With Applications
29
發行號2
DOIs
出版狀態Published - 2005 八月

All Science Journal Classification (ASJC) codes

  • 工程 (全部)
  • 電腦科學應用
  • 人工智慧

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