Results 1 to 10 of about 400,771 (185)
A novel interestingness measure based on fusion model for association rules mining [PDF]
Aiming at the shortcomings of the traditional "support-confidence" association rules mining framework and the problems of mining negative association rules, the concept of interestingness measure is introduced.
Yang Junrui, Xu Lin
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Proposed Parallel Association Rules Algorithm [PDF]
Data mining is an advanced technique for extracting knowledge from a large amount of data for classification, prediction, estimation, clustering or association rules or any activities, which need decision.
Emad kadhiem Jabbar +1 more
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Measuring Positive and Negative Association of Apriori Algorithm with Cosine Correlation Analysis
This work aims to see the positive association rules and negative association rules in the Apriori algorithm by using cosine correlation analysis.
Dewi Wisnu Wardani
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Numerical Association Rule Mining from a Defined Schema Using the VMO Algorithm
Association rule mining has been studied from various perspectives, all of which have made valuable contributions to data science. However, there are promising research lines, such as the inclusion of continuous variables and the combination of numerical
Iván Fredy Jaramillo +2 more
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Mining Hierarchical Negative Association Rules [PDF]
The negative association between items in databases is as important and interesting as the positive one. But, it has not been studied as much. We consider negative association in a hierarchical setting, in which we are able to generate negative ...
David Taniar +3 more
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The secondary outcome of implementing the computerized application process for -studies at Lithuania's institutions of higher education is the availability of the collected data.
Ieva Mitašiūnaitė +1 more
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A RELIABILITY EVALUATION SYSTEM OF ASSOCIATION RULES [PDF]
In mining association rules, the evaluation of the rules is a highly important work because it directly affects the usability and applicability of the output results of mining.
J. Chen, W. Feng, M. Luo
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Hierarchical mining algorithm for high dimensional spatiotemporal big data based on association rules [PDF]
The traditional data mining algorithm focuses too much on a single dimension of data time or space, ignoring the association between time and space, which leads to a large amount of computation and low processing efficiency of the mining algorithm and ...
Zhou Chunlei +5 more
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Optimization of Association Rule Using Ant Colony Optimization (ACO) Approach
The Apriori algorithm creates all possible association rules between items in the database using the Association Rule Mining and Apriori Algorithm. Using Ant Colony Optimization, a new algorithm is proposed for improving association rule mining results.
Roni La’biran, Muhammad Kristiawan
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Mining Association rules for Low-Frequency itemsets. [PDF]
High utility itemset mining has become an important and critical operation in the Data Mining field. High utility itemset mining generates more profitable itemsets and the association among these itemsets, to make business decisions and strategies ...
Jimmy Ming-Tai Wu +2 more
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