Results 21 to 30 of about 455,662 (262)
Association Rules over Time [PDF]
, 2021 Decisions made nowadays by Artificial Intelligence powered systems are usually hard for users to understand. One of the more important issues faced by developers is exposed as how to create more explainable Machine Learning models. In line with this, more explainable techniques need to be developed, where visual explanation also plays a more important ...
Iztok Fister Jr., Iztok Fister 0001
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Cluster-Based Membership Function Acquisition Approaches for Mining Fuzzy Temporal Association Rules
IEEE Access, 2020 In real-world applications, transactions are typically represented by quantitative data. Thus, fuzzy association rule mining algorithms have been proposed to handle these quantitative transactions.
Chun-Hao Chen +3 more
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SINTECH (Science and Information Technology) Journal, 2022 In improving the quality of service to customers, UD. Lasmi Jaya store is asked to be able to handle problems that often arise, among others, lack or absence of (out of stock) stock of building goods that are very popular, less strategic layouts, assist
Diah Anggraini +2 more
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APPLICATION OF ASSOCIATION RULES FOR FORMATION OF PUBLIC (ADMINISTRATIVE) SERVICES PORTFOLIO
Сучасні інформаційні системи, 2022 The formation of complex services is carried out exclusively according to the principle of association based on a life (business) event or situation.
Olena Gavrilenko +5 more
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Selective association rule generation [PDF]
Computational Statistics, 2007 Mining association rules is a popular and well researched method for discovering interesting relations between variables in large databases. A practical problem is that at medium to low support values often a large number of frequent itemsets and an even larger number of association rules are found in a database.
Michael Hahsler +2 more
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Self-learning estimation method for the severity of voltage sags caused by lightning
电力工程技术, 2023 Lightning is one of the main causes of voltage sags in power grid. Accurate estimation of the severity of voltage sags caused by lightning can provide a basis for developing optimal management plans and siting sensitive users.
WANG Yi +4 more
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EVALUASI KINERJA ALGORITMA ASSOCIATION RULE
Barekeng, 2007 Association is a technique in data mining used to identify the relationship between itemsets in a database (association rule). Some researches in association rule since the invention of AIS algorithm in 1993 have yielded several new algorithms.
Gysber J. Tamaela
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Association rules with graph patterns [PDF]
Proceedings of the VLDB Endowment, 2015 We propose graph-pattern association rules (GPARs) for social media marketing. Extending association rules for item-sets, GPARs help us discover regularities between entities in social graphs, and identify potential customers by exploring social influence. We study the problem of discovering top- k diversified GPARs.
Fan, Wenfei +3 more
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Categorization and regression algorithm based on the quantitative association rule tree
工程科学学报, 2016 To solve the problem of the low efficiency and accuracy of numerical data mining based on the Apriori categorization association rule algorithm,this article introduces a categorization and regression algorithm based on the quantitative association rule ...
WANG Ling, LI Shu-lin, WU Lu-lu
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Positive and negative association rule mining in Hadoop’s MapReduce environment
Journal of Big Data, 2019 In this paper, we present a Hadoop implementation of the Apriori algorithm. Using Hadoop’s distributed and parallel MapReduce environment, we present an architecture to mine positive as well as negative association rules in big data using frequent ...
Sikha Bagui, Probal Chandra Dhar
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