منابع مشابه
Selective association rule generation
Mining association rules is a popular and well researched method for discovering interesting relations between variables in large databases. A practical problem is that at medium to low support values often a large number of frequent itemsets and an even larger number of association rules are found in a database. A widely used approach is to gradually increase minimum support and minimum confid...
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ASSOCIATION RULE see extraction methods have been developed as the main methods for mining of real life data in particular in Basket Data Analysis In this paper we present a novel ap proach to generation of association rule based on Rough Set and Boolean reasoning methods We show the relationship between the problems of association rule extraction for transaction data and relative reducts or re...
متن کاملFast Parallel Association Rule Mining without Candidacy Generation
In this paper we introduce a new parallel algorithm MLFPT (Multiple Local Frequent Pattern Tree) [11] for parallel mining of frequent patterns, based on FP-growth mining, that uses only two full I/O scans of the database, eliminating the need for generating the candidate items, and distributing the work fairly among processors. We have devised partitioning strategies at different stages of the ...
متن کاملAssociation Rule and Decision Tree based Methods for Fuzzy Rule Base Generation
This paper focuses on the data-driven generation of fuzzy IF...THEN rules. The resulted fuzzy rule base can be applied to build a classifier, a model used for prediction, or it can be applied to form a decision support system. Among the wide range of possible approaches, the decision tree and the association rule based algorithms are overviewed, and two new approaches are presented based on the...
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This paper proposes fuzzy modeling using obtained data. Fuzzy system is known as knowledge-based or rule-bases system. The most important part of fuzzy system is rule-base. One of problems of generation of fuzzy rule with training data is inconsistence data. Existence of inconsistence and uncertain states in training data causes high error in modeling. Here, Probability fuzzy system presents to...
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ژورنال
عنوان ژورنال: Computational Statistics
سال: 2007
ISSN: 0943-4062,1613-9658
DOI: 10.1007/s00180-007-0062-z