Results 11 to 20 of about 2,360,798 (281)
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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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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Controlling False Positives in Association Rule Mining [PDF]
, 2011 Association rule mining is an important problem in the data mining area. It enumerates and tests a large number of rules on a dataset and outputs rules that satisfy user-specified constraints.
Liu, Guimei +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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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 ...
Fister Jr., Iztok, Fister, Iztok
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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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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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Evolving temporal association rules with genetic algorithms [PDF]
, 2010 A novel framework for mining temporal association rules by discovering itemsets with a genetic algorithm is introduced. Metaheuristics have been applied to association rule mining, we show the efficacy of extending this to another variant - temporal ...
A. Ghandar +11 more
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Temporal fuzzy association rule mining with 2-tuple linguistic representation [PDF]
, 2012 This paper reports on an approach that contributes towards the problem of discovering fuzzy association rules that exhibit a temporal pattern. The novel application of the 2-tuple linguistic representation identifies fuzzy association rules in a temporal
Ahmadi, Samad +3 more
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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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