Results 171 to 180 of about 15,306 (225)
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Proceedings of 2011 International Conference on Electronics and Optoelectronics, 2011
Association rules mining occupies an important position in data mining. In order to improve the efficiency of mining of frequent itemsets, contrapose the two key problems of reducing the times of scaning the transactional database and reducing the number of candidate item sets, an improved algorithm is presented based on the classic Apriori algorithm ...
Jianlong Gu +4 more
exaly +3 more sources
Association rules mining occupies an important position in data mining. In order to improve the efficiency of mining of frequent itemsets, contrapose the two key problems of reducing the times of scaning the transactional database and reducing the number of candidate item sets, an improved algorithm is presented based on the classic Apriori algorithm ...
Jianlong Gu +4 more
exaly +3 more sources
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.
Paul W Purdom, Dirk Van Gucht
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Near Candidate-Less Apriori With Tidlists and Other Apriori Implementations
International Journal of Applied Logistics, 2021In this study we implemented four different versions of Apriori, namely, basic and basic multi-threaded, bloom filter, trie, and count-min sketch, and proposed a new algorithm – NCLAT (Near Candidate-Less Apriori with Tidlists). We compared the runtimes and max memory usages of our implementations among each other as well as with the runtime of Borgelt’
Mehmet Bicer +3 more
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Sandwich-Apriori: A combine approach of Apriori and Reverse-Apriori
2015 Annual IEEE India Conference (INDICON), 2015The problem of generating large frequent itemset for the generation of association rules in the transactional database is considered. Previous work in this field already proposes many algorithms like Apriori, FP-growth, and their variations. Reverse-Apriori which is also a variation of Apriori for finding large frequent itemset in reverse manner, it ...
Tarinder Singh, Manoj Sethi
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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
openaire +2 more sources
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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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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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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