Results 1 to 10 of about 16,254 (263)
A novel interestingness measure based on fusion model for association rules mining [PDF]
MATEC Web of Conferences, 2021 Aiming at the shortcomings of the traditional "support-confidence" association rules mining framework and the problems of mining negative association rules, the concept of interestingness measure is introduced.
Yang Junrui, Xu Lin
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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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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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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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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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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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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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A RELIABILITY EVALUATION SYSTEM OF ASSOCIATION RULES [PDF]
ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2016 In mining association rules, the evaluation of the rules is a highly important work because it directly affects the usability and applicability of the output results of mining.
J. Chen, W. Feng, M. Luo
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Hierarchical mining algorithm for high dimensional spatiotemporal big data based on association rules [PDF]
E3S Web of Conferences, 2021 The traditional data mining algorithm focuses too much on a single dimension of data time or space, ignoring the association between time and space, which leads to a large amount of computation and low processing efficiency of the mining algorithm and ...
Zhou Chunlei +5 more
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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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