Results 1 to 10 of about 2,350,350 (281)
A First-Out Alarm Detection Method via Association Rule Mining and Correlation Analysis [PDF]
Entropy, 2023 Alarm systems are commonly deployed in complex industries to monitor the operation status of the production process in real time. Actual alarm systems generally have alarm overloading problems.
Ding Li, Xin Cheng
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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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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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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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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.
Hahsler, Michael +2 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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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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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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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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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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