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THAPE: A Tunable Hybrid Associative Predictive Engine Approach for Enhancing Rule Interpretability in Association Rule Learning for the Retail Sector

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Computers, materials & Continua 2024年第6期79卷 4995-5015页

作者： monerah alawadh Ahmed Barnawi Information Technology Department King Abdulaziz UniversityJeddah21589Saudi Arabia

Association rule learning(ARL)is a widely used technique for discovering relationships within ***,it often generates excessive irrelevant or ambiguous ***,post-processing is crucial not only for removing irrelevant or redundant rules but also for uncovering hidden associations that impact other ***,several post-processing methods have been proposed,each with its own strengths and *** this paper,we propose THAPE(Tunable Hybrid Associative Predictive Engine),which combines descriptive and predictive *** leveraging both techniques,our aim is to enhance the quality of analyzing generated *** includes removing irrelevant or redundant rules,uncovering interesting and useful rules,exploring hidden association rules that may affect other factors,and providing backtracking ability for a given *** proposed approach offers a tailored method that suits specific goals for retailers,enabling them to gain a better understanding of customer behavior based on factual transactions in the target *** applied THAPE to a real dataset as a case study in this paper to demonstrate its *** this application,we successfully mined a concise set of highly interesting and useful association *** of the 11,265 rules generated,we identified 125 rules that are particularly relevant to the business *** identified rules significantly improve the interpretability and usefulness of association rules for decision-making purposes.

关键词： Association rule learning post-processing predictive machine learning rule interpretability

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A Survey on methods and Applications of Intelligent market Basket Analysis Based on Association Rule

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Journal on Big Data 2022年第1期4卷 1-25页

作者： monerah m.alawadh Ahmed m.Barnawi King Abdulaziz University Jeddah21589The Kingdome of Saudi Arabia

The market trends rapidly changed over the last two *** primary reason is the newly created opportunities and the increased number of competitors competing to grasp market share using business analysis *** Basket Analysis has a tangible effect in facilitating current change in the *** Basket Analysis is one of the famous fields that deal with Big Data and Data mining *** initially uses Association Rule Learning(ARL)as a mean for *** has a beneficial effect in providing a plenty benefit in analyzing the market data and understanding customers’*** important motive of using such techniques is maximizing the business profit as well as matching the exact customer needs as closely as *** this survey paper,we discussed several applications and methods of mBA based on ***,we reviewed some association rule learning measurements including trust,lift,leverage,and ***,we discuss some open issues and future topics in the area of market basket analysis and association rule learning.

关键词： Intelligent market basket analysis association rule learning market basket analysis apriori algorithm association rule measurements

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