Cited By
View all- Rosário ADias JFerreira H(2023)Bibliometric Analysis on the Application of Fuzzy Logic into Marketing StrategyBusinesses10.3390/businesses30300253:3(402-423)Online publication date: 5-Jul-2023
Fuzzy QMD algorithm for mining fuzzy association rules
Pages 50 - 54
Abstract
Association rules mining is to find associations efficiently among the different items of a transaction database. In order to help decision-makers conduct sound and timely solutions, we apply fuzzy partition method and combine QMD (Quick Modulized Decomposition) to propose a novel fuzzy data mining method. The proposed method is mainly generated fuzzy itemsets by MAP modulized, and uses fuzzy minimal fuzzy support and minimum fuzzy confidence to generate fuzzy association rules. The method only needs to scan whole transaction database once and uses this modulized method to increase the performance of mining process. Furthermore, in fuzzy partition, the linguistic values of each fuzzy grid were obtained easily and the decision maker makes correct business decisions for marketing strategies.
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Index Terms
- Fuzzy QMD algorithm for mining fuzzy association rules
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Published In
November 2017
545 pages
ISBN:9781450353656
DOI:10.1145/3162957
- Conference Chairs:
- Jalel Ben-Othman,
- Feng Gang,
- Program Chairs:
- Jain-Shing Liu,
- Masayuki Arai
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Association for Computing Machinery
New York, NY, United States
Publication History
Published: 24 November 2017
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ICCIP 2017
ICCIP 2017: 2017 the 3rd International Conference on Communication and Information Processing
November 24 - 26, 2017
Tokyo, Japan
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Overall Acceptance Rate 61 of 301 submissions, 20%
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Cited By
View all- Rosário ADias JFerreira H(2023)Bibliometric Analysis on the Application of Fuzzy Logic into Marketing StrategyBusinesses10.3390/businesses30300253:3(402-423)Online publication date: 5-Jul-2023
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