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Association Rule
Association rules can be extracted from datasets, where each example consists of a set of items. An association rule has the form...
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Post–mining on Association Rule Bases
Association rule mining identifies potentially unknown correlations between columns in a relational database and is therefore a central task in the...
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Fuzzy Association Rule Mining Techniques and Applications
Fuzzy Association Rule Mining (FARM) is considered as a significant part of data mining approach that uses fuzzy logic to extract meaningful patterns...
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Association rule mining for genome-wide association studies through Gibbs sampling
Finding associations between genetic markers and a phenotypic trait such as coronary artery disease (CAD) is of primary interest in genome-wide...
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Association Rule Mining for Multifactorial Diseases: Survey and Opportunities
Association Rule Mining is an efficient Data Mining task that has been largely used in health informatics research since its emergence. As health...
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An association rule mining-oriented approach for prioritizing functional requirements
Software requirements play a vital role in ensuring a software product’s success. However, it remains a challenging task to implement all of the user...
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New Spark solutions for distributed frequent itemset and association rule mining algorithms
The large amount of data generated every day makes necessary the re-implementation of new methods capable of handle with massive data efficiently....
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Why do in-patients conceal hospitalization information?: an analysis based on association rule mining
As information technology rapidly advances, digitized personal information is becoming more accessible. However, the increasing likelihood of data...
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Effective Rules for a Rule-Based SIEM System in Detecting DoS Attacks: An Association Rule Mining Approach
In today’s interconnected digital landscape, Security Information and Event Management (SIEM) systems play a vital role as the frontline defense...
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Exploring the attributes of influential users in social networks using association rule mining
Association rule mining discovers interesting patterns and meaningful connections between items or actions performed by users on social media...
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Application of Improved Association Rule Algorithm in E-commerce English
The application of the improved association rule algorithm in E-business English is to find the relationship between the two terms. It can be used to...
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Optimizing the number of branches in a decision forest using association rule metrics
Ensemble methods, such as random forest algorithms, typically outperform single classifiers. However, they often demand substantial storage memory...
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MICAR: nonlinear association rule mining based on maximal information coefficient
Association rule mining (ARM) is an important research issue in data mining and knowledge discovery. Existing ARM methods cannot discover nonlinear...
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A Study on Personalized Learning Resource Recommendation Method Based on Association Rule Mining
As the diversity of educational resources continues to grow, it is becoming increasingly important to provide learners with learning resources that...
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A novel high-utility association rule mining method and its application to movie recommendation
The rapid development of the Internet and information technology has caused a surge in the amount of information in the network, and the problem of...
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Analyzing the relation among different factors leading to Ph.D. dropout using numerical association rule mining
Ph.D. dropout is a persistent and challenging issue in higher education, with significant implications for individual students, academic...
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Association rule learning for threat analysis using traffic analysis and packet filtering approach
The Mirai botnet source code, which was distributed on the dark web, is still changing as malware designers modify it to produce more sophisticated...
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Multi-objective optimisation based fuzzy association rule mining method
Fuzzy association rule mining (FARM) is a mainstream method to discover hidden patterns and association rules in quantitative data. It is essential...
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Knowledgebase approximation using association rule aggregation
This paper introduces knowledgebase approximation and fusion using association rule aggregation as a means to facilitate accelerated insight...
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An incremental rare association rule mining approach with a life cycle tree structure considering time-sensitive data
One of the association rule mining techniques, rare association rule mining (RARM), is a method for finding association rules with low support but...
