Results 111 to 120 of about 659,904 (212)
Approximate Parallel High Utility Itemset Mining [PDF]
, 2016 High utility itemset mining discovers itemsets whose utility is above a given threshold, where utilities measure the importance of itemsets. In high utility itemset mining, memory and time performance limitations cause scalability issues, when the ...
Chen, Yan
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mHUIMiner: A Fast High Utility Itemset Mining Algorithm for Sparse Datasets
, 2017 High utility itemset mining is the problem of finding sets of items whose utilities are higher than or equal to a specific threshold. We propose a novel technique called mHUIMiner, which utilises a tree structure to guide the itemset expansion process to
Peng, AY +5 more
core +1 more source
Association rules recommendation algorithm supporting recommendation nonempty
Tongxin xuebao, 2017 Existing association rule recommendation technologies were focus on extraction efficiency of association rule in data mining.However,it lacked consideration of recommendation balance between popular and unusual data and efficient processing.In order to ...
Ming HE, Wei-shi LIU, Jiang ZHANG
doaj +2 more sources
A NOVEL ALGORITHM FOR ASSOCIATION RULE MINING FROM DATA WITH INCOMPLETE AND MISSING VALUES [PDF]
ICTACT Journal on Soft Computing, 2011 Missing values and incomplete data are a natural phenomenon in real datasets. If the association rules mine incomplete disregard of missing values, mistaken rules are derived.
K. Rameshkumar
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Temporal Erasable Itemset Mining Algorithms with Lower-Bound Strategies
, 2022 Erasable itemset mining is a valuable research topic for manufacturers. It identifies less profitable materials in a product dataset to assist in managerial decision-making, facilitating better trade-offs between manufacture and procurement.
Li, Jia-Xiang
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Engineering ProceedingsHigh-utility itemset mining (HUIM) utilizes the threshold value to extract HUI from the transactional database. However, it is difficult to define an optimal threshold value, since it depends on the domain knowledge of the application.
Ye-In Chang +4 more
doaj +1 more source
Constraint programming for itemset mining [PDF]
, 2009 A one hour seminar about Constraint Programming for Itemset Mining at the international summer school on the analysis of patterns.sponsorship: Institute for the Promotion and Innovation through Science and Technology in Flanders (IWT-Vlaanderen)status ...
Guns, Tias
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On Minimal Infrequent Itemset Mining
, 2008 —A new algorithm for minimal infrequent itemset mining is presented. Potential applications of finding infrequent itemsets include statistical disclosure risk assessment, bioinformatics, and fraud detection.
core
Jurnal Informatika, 2007 Taking attendance from employees always becomes a problem for Human Resource Department (HRD) in many companies lately. Although there is an automatic check-lock machine, it still has a weakness.
Gregorius Satia Budhi +1 more
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