Results 11 to 20 of about 19,735 (267)
Information Cartography in Association Rule Mining [PDF]
IEEE Transactions on Emerging Topics in Computational Intelligence, 2022 Association Rule Mining is a machine learning method for discovering the interesting relations between the attributes in a huge transaction database. Typically, algorithms for Association Rule Mining generate a huge number of association rules, from which it is hard to extract structured knowledge and present this automatically in a form that would be ...
Iztok Fister Jr., Iztok Fister 0001
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CoRR, 2022 Graph association rule mining is a data mining technique used for discovering regularities in graph data. In this study, we propose a novel concept, {\it path association rule mining}, to discover the correlations of path patterns that frequently appear in a given graph.
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Modified Genetic Algorithm and Association Rule Mining for the Retail Sector
Journal of Information Systems and Informatics, 2023 This paper concentrates on the optimization of elementary association rule mining. The basic approach of association rule mining generates the positive association rule but focusing on both positive and negative association rule mining to find out ...
Piyush Vyas, Aditya Nagdiya
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A Technique to Association Rule Mining on Multiple Datasets
Journal of Advances in Information Technology, 2014 This research aims at studying the method for association rule mining on multiple datasets. Current with technology and information systems enabling agencies or organization has a data-storage system, but the problem is that those with a larger data set,
Nuntawut Kaoungku +2 more
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Coverage-Based Classification Using Association Rule Mining
Applied Sciences, 2020 Building accurate and compact classifiers in real-world applications is one of the crucial tasks in data mining nowadays. In this paper, we propose a new method that can reduce the number of class association rules produced by classical class association
Jamolbek Mattiev, Branko Kavsek
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Private Mining of Association Rules [PDF]
, 2005 This paper introduces a new approach to a problem of data sharing among multiple parties, without disclosing the data between the parties. Our focus is data sharing among two parties involved in a data mining task. We study how to share private or confidential data in the following scenario: two parties, each having a private data set, want to ...
Justin Zhijun Zhan +2 more
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Fuzzy Association Rule Mining [PDF]
Journal of Computer Science, 2015 The paper attempts to propose a fuzzy logic association algorithm to predict the risks involved in identifying diseases like breast cancer. Fuzzy logic algorithm is used to find association rules. The results of the study revealed that the prediction is better reliable than conventional methods.
A. Lekha, C. V. Srikrishna, Viji Vinod
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Mining Clusters with Association Rules [PDF]
, 1999 In this paper we propose a method for extracting clusters in a population of customers, where the only information available is the list of products bought by the individual clients. We use association rules having high confidence to construct a hierarchical sequence of clusters.
Walter A. Kosters +2 more
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NiaAutoARM: Automated Framework for Constructing and Evaluating Association Rule Mining Pipelines
MathematicsNumerical Association Rule Mining (NARM), which simultaneously handles both numerical and categorical attributes, is a powerful approach for uncovering meaningful associations in heterogeneous datasets.
Uroš Mlakar, Iztok Fister, Iztok Fister
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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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