NDLI: Association rule discovery with fuzzy decreasing support on Syndrome Differentiation and medication in coronary heart disease

Content Provider	IEEE Xplore Digital Library
Author	Weiguo Yi Jing Duan Mingyu Lu
Copyright Year	2010
Description	Author affiliation: Information Science and Technology, Dalian Maritime University, China (Weiguo Yi; Jing Duan; Mingyu Lu)
Abstract	Association rules mining is an important research field in data mining. Over the years, a variety of algorithms to find frequent itemsets in very large transaction databases has been developed. The key feature in most of these algorithms is that they use a constant support constraint to control the inherently exponential complexity of the problem. Long itemsets with low support can still be interesting but it is unable to find them. In this paper, we present a new association rule mining framework: fuzzy decreasing support-confidence that finds all itemsets that satisfy a length-decreasing support constraint. On this basis, by analyzing the correlation between the antecedent and the consequent of the generated rules, we further propose two correction frameworks: (1) Fuzzy Decreasing Support, Confidence, Interestingness; (2) Fuzzy Decreasing Support, Bidirectional Confidence, Interestingness; We extract data about the relevant factors of Syndrome Differentiation and the patients' medication from the coronary heart disease data collected from the hospitals. The experimental results show that the frameworks proposed in this paper not only verify the existing Syndrome Differentiation and regular patterns of medication, but also discover Syndrome Differentiation with a combination of factors and medicine compatibilities among multiple drugs.
Starting Page	2297
Ending Page	2301
File Size	302643
Page Count	5
File Format	PDF
ISBN	9781424464951
e-ISBN	9781424464982
DOI	10.1109/BMEI.2010.5639351
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2010-10-16
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Heart Fuzzy decreasing support Correlation Itemsets Interestingness Bidirectional confidence Coronary Heart Disease Association rules Medical diagnostic imaging Diseases
Content Type	Text
Resource Type	Article

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Association rule discovery with fuzzy decreasing support on Syndrome Differentiation and medication in coronary heart disease

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