Results 1 to 10 of about 9,278,183 (294)
Rule-ranking method based on item utility in adaptive rule model [PDF]
PeerJ Computer Science, 2022 Background Decision-making is an important part of most human activities regardless of their daily activities, profession, or political inclination. Some decisions are relatively simple specifically when the consequences are insignificant while others ...
Erna Hikmawati +2 more
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IMPROVED ASSOCIATION RULE MODELLING USING VARIOUS MACHINE LEARNING MODULES FOR LARGE DATASETS [PDF]
ICTACT Journal on Soft Computing, 2023 There are four modules namely Modified Apriori Algorithm (MAA), Crumb Based Association Rule Mining (CBARM), Inter-transaction Association Rule (IAR) miner and Categorized and Bounded Inter-Transaction (CBIT) proposed in this research work.
S. Nandagopal
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APPLICATION OF THE APRIORI ALGORITHM TO DETERMINE THE COMBINATION OF POVERTY INDICATORS
Pilar Nusa Mandiri, 2023 Poverty is a society that has not been solved until now. The decline in poverty in Laweyan District from 2000 to 2013 was 5.71%, among the five lowest in the reduction in the percentage of poverty in Central Java Province.
Sri Siswanti +3 more
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Minimum threshold determination method based on dataset characteristics in association rule mining
Journal of Big Data, 2021 Association rule mining is a technique that is widely used in data mining. This technique is used to identify interesting relationships between sets of items in a dataset and predict associative behavior for new data.
Erna Hikmawati +2 more
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ASSOCIATION RULES IN RANDOM FOREST FOR THE MOST INTERPRETABLE MODEL
Barekeng, 2023 Random forest is one of the most popular ensemble methods and has many advantages. However, random forest is a "black-box" model, so the model is difficult to interpret.
Hafizah Ilma +2 more
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Correlation analysis and prevention of electrocution risk factors in the construction industry [PDF]
Archives of Civil Engineering, 2022 Electrocution is one of the main causes of workplace deaths in the construction industry. This paper presents a framework for identifying electrocution risk factors and exploring the correlations between them, with the aim of assisting accident ...
Jue Li, Feifei Chen, Shijie Li
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Adaptive rule: A novel framework for recommender system
ICT Express, 2020 Determining minimum support value on association rule is not easy to users. Hurdles such as data locations and data origins are a mountain that should be overcome by association rule.
Erna Hikmawati +2 more
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Ontology in association rules [PDF]
SpringerPlus, 2013 Data mining has emerged to address the problem of transforming data into useful knowledge. Although most data mining techniques, such as the use of association rules, may substantially reduce the search effort over large data sets, often, the consequential outcomes surpass the amount of information humanly manageable.
Ferraz, Inhaúma, Garcia, Ana Cristina
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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 ...
Iztok Fister Jr., Iztok Fister 0001
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Closed Association Rules [PDF]
Annales Mathematicae et Informaticae, 2020 Summary: In this paper we present a new basis for association rules called Closed Association Rules (\(\mathcal{CR}\)). This basis contains all valid association rules that can be generated from frequent closed itemsets. \(\mathcal{CR}\) is a lossless representation of all association rules.
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