Results 11 to 20 of about 402,340 (284)
Mining Association rules for Low-Frequency itemsets. [PDF]
PLoS ONE, 2018 High utility itemset mining has become an important and critical operation in the Data Mining field. High utility itemset mining generates more profitable itemsets and the association among these itemsets, to make business decisions and strategies ...
Jimmy Ming-Tai Wu +2 more
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DPARM: Differentially Private Association Rules Mining
IEEE Access, 2020 Association analysis is critical in data analysis performed to find all co-occurrence relationships ($i.e$ ., frequent itemsets or confident association rules) from the transactional dataset.
Yao-Tung Tsou +4 more
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Employing data mining to explore association rules in drug addicts [PDF]
Journal of Artificial Intelligence and Data Mining, 2014 Drug addiction is a major social, economic, and hygienic challenge that impacts on all the community and needs serious threat. Available treatments are successful only in short-term unless underlying reasons making individuals prone to the phenomenon are
Farzaneh Zahedi +1 more
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Data in Brief, 2018 Data presented in this article relates to the research article entitled “Exploration of association rule mining for coding consistency and completeness assessment in inpatient administrative health data” (Peng et al.
Mingkai Peng +6 more
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Mining for Useful Association Rules Using the ATMS [PDF]
, 2006 Association rule mining has made many achievements in the area of knowledge discovery in databases. Recent years, the quality of the extracted association rules has drawn more and more attention from researchers in data mining community.
Li, Yuefeng, Xu, Yue
core +2 more sources
IJCCS (Indonesian Journal of Computing and Cybernetics Systems), 2016 In this study the adding of time aspect on association rules mining result was used. The aspect of time that was used in this study was date of transactions.
Annisa Mauliani +2 more
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Efficient Mining Support-Confidence Based Framework Generalized Association Rules
Mathematics, 2022 Mining association rules are one of the most critical data mining problems, intensively studied since their inception. Several approaches have been proposed in the literature to extend the basic association rule framework to extract more general rules ...
Amira Mouakher +2 more
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Evolving temporal fuzzy association rules from quantitative data with a multi-objective evolutionary algorithm [PDF]
, 2011 A novel method for mining association rules that are both quantitative and temporal using a multi-objective evolutionary algorithm is presented. This method successfully identifies numerous temporal association rules that occur more frequently in areas ...
C. Carmona +8 more
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AN ADAPTIVE GRADUAL RELATIONAL ASSOCIATION RULES MINING APPROACH
Studia Universitatis Babes-Bolyai: Series Informatica, 2018 This paper focuses on adaptive Gradual Relational Association Rules mining. Gradual Relational Association Rules capture gradual generic relations among data features.
Diana-Lucia MIHOLCA
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An Efficient Association Rules Algorithms for Medical Test Analysis [PDF]
Engineering and Technology Journal, 2016 Data Mining denotes mining knowledge from hugequantity of data. All algorithms of association rules mining include ‘first finding frequency of item sets, which accept a minimum support threshold, and then calculates confidence percentage for all k-item ...
Ahmed Tariq Sadiq, Alaa Sameer Ali
doaj +1 more source