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Numerical Association Rule Mining from a Defined Schema Using the VMO Algorithm
Applied Sciences, 2021 Association rule mining has been studied from various perspectives, all of which have made valuable contributions to data science. However, there are promising research lines, such as the inclusion of continuous variables and the combination of numerical
Iván Fredy Jaramillo +2 more
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Proposed Parallel Association Rules Algorithm [PDF]
Engineering and Technology Journal, 2014 Data mining is an advanced technique for extracting knowledge from a large amount of data for classification, prediction, estimation, clustering or association rules or any activities, which need decision.
Emad kadhiem Jabbar +1 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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Mining Hierarchical Negative Association Rules [PDF]
International Journal of Computational Intelligence Systems, 2012 The negative association between items in databases is as important and interesting as the positive one. But, it has not been studied as much. We consider negative association in a hierarchical setting, in which we are able to generate negative ...
David Taniar +3 more
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Recommendation with quantitative implication rules [PDF]
EAI Endorsed Transactions on Context-aware Systems and Applications, 2019 Association rules based recommendation is one of approaches to develop recommendation systems. However, such systems just focus on binary dataset, whereas many datasets are in the quantitative form. There are many solutions proposed for this problem such
Hoang Nguyen +3 more
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SALES LEVEL ANALYSIS USING THE ASSOCIATION METHOD WITH THE APRIORI ALGORITHM
Jurnal Riset Informatika, 2022 The company does not yet know the pattern of consumer purchases because so far, the sales transaction data has not been used correctly and does not have a unique method to determine consumer buying patterns.
Samuel Samuel +4 more
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Lietuvos Matematikos Rinkinys, 2004 The secondary outcome of implementing the computerized application process for -studies at Lithuania's institutions of higher education is the availability of the collected data.
Ieva Mitašiūnaitė +1 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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Measuring Positive and Negative Association of Apriori Algorithm with Cosine Correlation Analysis
مجلة بغداد للعلوم, 2021 This work aims to see the positive association rules and negative association rules in the Apriori algorithm by using cosine correlation analysis.
Dewi Wisnu Wardani
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Mathematical and Computational Applications, 2023 Bacterial Vaginosis is a common disease and recurring public health problem. Additionally, this infection can trigger other sexually transmitted diseases.
María Concepción Salvador-González +4 more
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