Weak Ratio Rules

Author:

Jiang Baoqing1,Hu Xiaohua2,Wei Qing3,Song Jingjing4,Han Chong1,Liang Meng1

Affiliation:

1. Henan University, China

2. Henan University China, & Drexel Univeristy, USA

3. Henan University of Economics and Law, China

4. Qingyuan Polytechnic, China

Abstract

This paper examines the problem of weak ratio rules between nonnegative real-valued data in a transactional database. The weak ratio rule is a weaker form than Flip Korn’s ratio rule. After analyzing the mathematical model of weak ratio rules problem, the authors conclude that it is a generalization of Boolean association rules problem and every weak ratio rule is supported by a Boolean association rule. Following the properties of weak ratio rules, the authors propose an algorithm for mining an important subset of weak ratio rules and construct a weak ratio rule uncertainty reasoning method. An example is given to show how to apply weak ratio rules to reconstruct lost data, and forecast and detect outliers.

Publisher

IGI Global

Reference29 articles.

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4. Bezrukov, S. L., & Leck, U. (2005). Macaulay posets. The Electronic Journal of Combinatorics. Retrieved from http://www.combinatorics.org/Surveys

5. MAFIA: a maximal frequent itemset algorithm

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