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2015•Unpublished venueOpen access

A Study of Fuzzy Quantitative Items Based on Weighted Association Rules Mining

Tianqi Yang, Chengjun Li

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Abstract

The weighted association rules mining is more significative than traditional association rules mining in practice.Allowing for the impact of the number and weight of property on association rules, this paper presents a new method of mining weighted association rules, which can hold the " downward closed property " by using an improved model of weighted support measurements in the weighted setting.Compared to some generalized weighted association rules mining, it proves that the method can quickly and efficiently mine important association rules.

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What this paper is about

The weighted association rules mining is more significative than traditional association rules mining in practice.Allowing for the impact of the number and weight of property on association rules, this paper presents a new method of mining weighted association rules, which can hold the " downward closed property " by using an improved model of weighted support measurements in the weighted setting.Compared to some generalized weighted association rules mining, it proves that the method can quickly and efficiently mine important association rules.

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Available abstract

The weighted association rules mining is more significative than traditional association rules mining in practice.Allowing for the impact of the number and weight of property on association rules, this paper presents a new method of mining weighted association rules, which can hold the " downward closed property " by using an improved model of weighted support measurements in the weighted setting.Compared to some generalized weighted association rules mining, it proves that the method can quickly and efficiently mine important association rules.

Key concepts: Association rule learning, Data mining, Property (philosophy), Association (psychology), Computer science, Fuzzy logic, Weighted arithmetic mean, Mathematics

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