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Parallel Computation of Closed Itemsets and Implication Rule Bases

2007
Formal concept analysis has been successfully applied as a data mining framework whereby target patterns come in the form of intent families and implication bases. Since their extraction is a challenging task, especially for large datasets, parallel techniques should be helpful in reducing the computational effort and increasing the scalability of the ...
Jean François Djoufak Kengue   +2 more
openaire   +2 more sources

CWFM: Closed Contingency Weighted Frequent Itemsets Mining

2012
Weighted pattern mining have been studied the importance of items. So far, in weight constraint based pattern mining, the weight has been considered the item's price. The price considered as the weight has a limit. The weight characteristic of weighted pattern mining should be considered case-by-case situation.
Eunkyoung Park   +5 more
openaire   +1 more source

Targeted Querying of Closed High-Utility Itemsets

2023 IEEE International Conference on Big Data (BigData), 2023
Shan Huang 0009   +2 more
openaire   +2 more sources

Closed-Itemset Incremental-Mining Problem

2005
Association rules, introduced by Agrawal, Imielinski and Swami (1993), provide useful means to discover associations in data. The problem of mining association rules in a database is defined as finding all the association rules that hold with more than a user-given minimum support threshold and a user-given minimum confidence threshold.
openaire   +1 more source

Efficient strategies for incremental mining of frequent closed itemsets over data streams

Expert Systems With Applications, 2022
Xiaoning Jiang   +2 more
exaly  

Frequent Closed Informative Itemset Mining

2007 International Conference on Computational Intelligence and Security (CIS 2007), 2007
Huaiguo Fu   +2 more
openaire   +2 more sources

Mining Closed and Maximal Frequent Itemsets

2011
This chapter contains sections titled: Introduction Preliminaries Existing Approaches for Closed and Maximal Itemset Mining Efficient CFI and MFI Mining: Charm and Genmax Experimental Results Conclusions This chapter contains sections titled: Acknowledgments ...
openaire   +1 more source

Mining of Closed High Utility Itemsets: A Survey

Recent Advances in Computer Science and Communications, 2021
Kuldeep Singh   +2 more
exaly  

CHARM: An Efficient Algorithm for Closed Itemset Mining

Proceedings of the 2002 SIAM International Conference on Data Mining, 2002
Mohammed Javeed Zaki, Ching-Jiu Hsiao
openaire   +1 more source

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