Results 81 to 90 of about 2,164 (156)
Mining High-Efficiency Itemsets with Negative Utilities
MathematicsHigh-efficiency itemset mining has recently emerged as a new problem in itemset mining. An itemset is classified as a high-efficiency itemset if its utility-to-investment ratio meets or exceeds a specified efficiency threshold.
Irfan Yildirim
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A Hybrid Recommendation System Based on Association Rules [PDF]
, 2013 Recommendation systems are widely used in e-commerce applications. Theengine of a current recommendation system recommends items to a particular user based on user preferences and previous high ratings.
Alsalama, Ahmed
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IEEE Access, 2018 High average-utility itemsets mining (HAUIM) is an emerging topic in data mining. Compared to traditional high utility itemset mining, HAUIM more fairly measures the utility of itemsets by considering their lengths (number of items).
Jerry Chun-Wei Lin +2 more
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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
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State of the Art in Privacy Preserving Data Mining [PDF]
, 2008 Privacy is one of the most important properties an information system must satisfy. A relatively new trend shows that classical access control techniques are not sufficient to guarantee privacy when Data Mining techniques are used.
MASERA MARCELO, NAI FOVINO IGOR
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AN EFFICIENT ALGORITHM FOR MINING HIGH UTILITY ITEMSETS
Tạp chí Khoa họcHigh utility itemsets (HUIs) mining is the finding of itemsets that satisfy a user-defined minimum utility threshold. Many successful studies in this field have been carried out, however they are all reliant on Tidset techniques, which records the ...
Nguyen Thi Thanh Thuy*, Nguyen Van Le, Manh Thien Ly
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SemGrAM - Integrating semantic graphs into association rule mining [PDF]
, 2007 To date, most association rule mining algorithms have assumed that the domains of items are either discrete or, in a limited number of cases, hierarchical, categorical or linear.
Fule, Peter, Roddick, John Francis
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RESEARCH ISSUES CONCERNING ALGORITHMS USED FOR OPTIMIZING THE DATA MINING PROCESS [PDF]
In this paper, we depict some of the most widely used data mining algorithms that have an overwhelming utility and influence in the research community. A data mining algorithm can be regarded as a tool that creates a data mining model.
Alexandru Pîrjan, Ion Lungu
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PERANCANGAN FITUR REKOMENDASI FILM DI WEBSITE SOLO MOVIE DENGAN MENGGUNAKAN METODE ALGORITMA APRIORI [PDF]
, 2010 Solo Movie merupakan salah satu perusahaan yang bergerak dibidang jasa entertainment yang memberikan pelayanan berupa persewaan ruangan mini bioskop serta karaoke.
ROCHMAH , AFFRIANTARI
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A Pattern-Based Academic Reviewer Recommendation Combining Author-Paper and Diversity Metrics
IEEE Access, 2019 With the rapid increase of publishable research articles and manuscripts, the pressure to find reviewers often overwhelms the journal editors. This paper incorporates the major entity level metrics found in the heterogeneous publication networks into a ...
Musa Ibrahim Musa Ishag +3 more
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