Journal article
Weak Ratio Rules: A Generalized Boolean Association Rules
International journal of data warehousing and mining, v 7(3), pp 50-87
01 Jul 2011
Featured in Collection : UN Sustainable Development Goals @ Drexel
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.
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Details
- Title
- Weak Ratio Rules: A Generalized Boolean Association Rules
- Creators
- Baoqing Jiang - Henan UniversityXiaohua Hu - Henan UniversityQing Wei - Henan University of Economic and LawJingjing Song - Qingyuan Polytechnic, ChinaChong Han - Henan UniversityMeng Liang - Henan University
- Publication Details
- International journal of data warehousing and mining, v 7(3), pp 50-87
- Publisher
- Igi Global
- Number of pages
- 38
- Grant note
- 60875034 / National Natural Science Foundation of P. R. China; National Natural Science Foundation of China (NSFC) 2007KYCX018 / Henan Innovation Project for University Prominent Research Talents
- Resource Type
- Journal article
- Language
- English
- Academic Unit
- Information Science
- Web of Science ID
- WOS:000307050500003
- Scopus ID
- 2-s2.0-80052858392
- Other Identifier
- 991019167603704721
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- Collaboration types
- Domestic collaboration
- International collaboration
- Web of Science research areas
- Computer Science, Software Engineering