Results 161 to 170 of about 2,307,372 (214)
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Grid implementation of the Apriori algorithm
Advances in Engineering Software, 2007The paper presents the implementation of an association rules discovery data mining task using Grid technologies. For the mining task we are using the Apriori algorithm on top of the Globus toolkit. The case study presents the design and integration of the data mining algorithm with the Globus services.
Mitica Craus
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Average-Case Performance of the Apriori Algorithm
SIAM Journal on Computing, 2004zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Dirk Van Gucht
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An Application of Apriori Algorithm on a Diabetic Database
, 2005 In recent days, mining information from large databases has been recognized by many researchers and many data mining techniques and systems have been developed. In this study, a software (DMAP), which uses Apriori algorithm, was developed. Apriori is an influential algorithm that used in data mining.
Duru, NEVCİHAN
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2010 IEEE International Conference on Granular Computing, 2010
In order to improve efficiency of excavation in relational database with multi-dimensional association rules, this paper analyzed Apriori algorithm and BUC algorithm based on practice. Then an improved Apriori algorithm-DGP algorithm which based on the multidimensional association rule was presented, it has more efficient and it will be used in the ...
Yongge Shi, Yiqun Zhou
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In order to improve efficiency of excavation in relational database with multi-dimensional association rules, this paper analyzed Apriori algorithm and BUC algorithm based on practice. Then an improved Apriori algorithm-DGP algorithm which based on the multidimensional association rule was presented, it has more efficient and it will be used in the ...
Yongge Shi, Yiqun Zhou
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A probabilistic approach to apriori algorithm
International Journal of Granular Computing, Rough Sets and Intelligent Systems, 2010We consider the problem of applying probability concepts to discover frequent itemsets in a transaction database. The paper presents a probabilistic algorithm to discover association rules. The proposed algorithm outperforms the apriori algorithm for larger databases without losing a single rule.
Vaibhav Sharma 0007, M. M. Sufyan Beg
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An Algorithm to Improve the Effectiveness of Apriori
6th IEEE International Conference on Cognitive Informatics, 2007Apriori is one of the most important algorithms used in rule association mining. In this paper, we first discuss the limitations of the Apriori algorithm and then propose an enhancement for improving its efficiency. The improved algorithm is based on the combination of forward scan and reverse scan of a given database.
Dongme Sun +3 more
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Proceedings of the 8th Workshop on Ph.D. Workshop in Information and Knowledge Management, 2015
Association rule mining remains a very popular and effective method to extract meaningful information from large datasets. It tries to find possible associations between items in large transaction based datasets. In order to create these associations, frequent patterns have to be generated.
Sanjay Rathee +2 more
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Association rule mining remains a very popular and effective method to extract meaningful information from large datasets. It tries to find possible associations between items in large transaction based datasets. In order to create these associations, frequent patterns have to be generated.
Sanjay Rathee +2 more
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Improvement parallelization in Apriori Algorithm
Proceedings of the 2020 International Conference on Computers, Information Processing and Advanced Education, 2020When people look for the internal relationship of massive data, the classical Apriori association algorithm can not meet the mining scenario of massive data in terms of algorithm efficiency and I/O performance of data processing process. When mining and analyzing the classical Apriori association algorithm, all transactions are always located in the ...
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TFI-Apriori: Using new encoding to optimize the apriori algorithm
Intelligent Data Analysis, 2018In this paper we propose a new optimization for Apriori-based association rule mining algorithms where the frequency of items can be encoded and treated in a special manner drastically increasing the efficiency of the frequent itemset mining process.
Ebrahim Ansari +4 more
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An Improved Algorithm for Apriori
2009 First International Workshop on Education Technology and Computer Science, 2009In this paper, we studied the Apriori Algorithm and its performance, which is used to mine association rules. The algorithm for reducing the size of the candidate-itemsets is optimized. Meanwhile, the performance of algorithm is improved to reduce I/O spending by cutting down unnecessary transaction records.
Zhang Changsheng +2 more
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