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Association Rules Optimization Algorithm Based on Fuzzy Clustering
- Source :
- Applied Mechanics and Materials. :3536-3539
- Publication Year :
- 2014
- Publisher :
- Trans Tech Publications, Ltd., 2014.
-
Abstract
- Frequent pattern mining has been an important research direction in association rules. This paper use a methodology by preprocessing the original dataset using fuzzy clustering which can mapped quantitative datasets into linguistic datasets. Then we propose a algorithm based on fuzzy frequent pattern tree for extracting fuzzy frequent itemset from mapped linguistic datasets. Experimental results show that our algorithm is shorter than the F-Apriori on computing time to huge database. For large database, the algorithm presented in this paper is proved to have a good prospect.
- Subjects :
- Fuzzy classification
Fuzzy clustering
Neuro-fuzzy
Association rule learning
Computer science
business.industry
Pattern recognition
General Medicine
computer.software_genre
Fuzzy logic
ComputingMethodologies_PATTERNRECOGNITION
Canopy clustering algorithm
FLAME clustering
Fuzzy set operations
Data mining
Data pre-processing
Artificial intelligence
business
computer
Subjects
Details
- ISSN :
- 16627482
- Database :
- OpenAIRE
- Journal :
- Applied Mechanics and Materials
- Accession number :
- edsair.doi...........5dfcdc88de7047b8a6e26e05bfc86a0a