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Association Rules
Healthcare decisions supportable with association rule models include identification of comorbidity patterns in patients, monitoring diseases by...
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An Alternative Approach to Mining Association Rules
An alternative approach to mining association rules is presented. It is based on representation of analysed data by suitable strings of bits. This...
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Definability of Association Rules in Predicate Calculus
Observational calculi are special logical calculi in which statements concerning observed data can be formulated. Their special case is predicate...
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Assessing efficacy of association rules for predicting global stock indices
Present study explores the efficacy/performance of association rules for prediction of global stock indices. Global stock indices data for the last...
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A performance prediction method for on-site chillers based on dynamic graph convolutional network enhanced by association rules
Accurately predicting the chiller coefficient of performance (COP) is essential for improving the energy efficiency of heating, ventilation, and air...
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Quantum FP-Growth for Association Rules Mining
Quantum computing, based on quantum mechanics, promises revolutionary computational power by exploiting quantum states. It provides significant...
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A multi-agent-based approach for community detection using association rules
In recent years, community detection has emerged as an important field of research, exerting a profound influence on various domains such as Social...
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A Recursive Algorithm for Mining Association Rules
Mining frequent itemsets and association rules are an essential task within data mining and data analysis. In this paper, we introduce PrefRec, a...
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Research on safety verification methods of static data of train control systems based on deep association rules
Currently, the static configuration data checking of the safety critical system is realized by the existing constraint rules which generated from the...
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A feature weighted K-nearest neighbor algorithm based on association rules
K-nearest neighbors (kNN) is a popular machine learning algorithm because of its clarity, simplicity, and efficacy. kNN has numerous drawbacks,...
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A Metaheuristic Perspective on Extracting Numeric Association Rules: Current Works, Applications, and Recommendations
In the vast field of data mining, the increasing significance of Numerical Association Rule Mining (NARM) lies in its capacity to unearth recurrent...
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Association Rules over Time
Decisions made nowadays by Artificial Intelligence-powered systems are usually hard for users to understand. One of the most important issues faced...
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Application of improved association rules algorithm and cloud service system in human resource management
Nowadays, big data resources are particularly abundant, and there are more ways to present data. If you want to get some useful information, these...
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Intelligent Distribution Platform of Art Education Resources Based on Association Rules Mining
Association rule mining is an important branch of data mining research. It can dig out unknown or hidden relationships among items or attributes in...
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Analysis of multiple chronic disease characteristics in middle-aged and elderly South Koreans by exercise habits based on association rules mining algorithm
BackgroundThe term, “multiple chronic diseases” (MCD), describes a patient with two or more chronic conditions simultaneously at the same time....
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Integrated Bayesian and association-rules methods for autonomously orienting COVID-19 patients
The coronavirus infection continues to spread rapidly worldwide, having a devastating impact on the health of the global population. To fight against...
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Detection Method of Large Industrial CT Data Transmission Information Anomaly Based on Association Rules
In the abnormal detection of large industrial CT data transmission information, the network is unstable and vulnerable to noise interference,...
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Design of an Intelligent College English Teaching Management Platform Based on Association Rules Mining
The intelligent university English teaching management platform uses association rule mining algorithms to mine high-frequency vocabulary in English...
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Computing triadic generators and association rules from triadic contexts
In this paper, we present a set of algorithms to display a Hasse diagram of triadic concepts in Triadic Concept Analysis and compute triadic...
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PredictionMiner: mining the latest individual behavioral rules for personalized contextual pattern predictions
The user’s behavior towards smartphone is not static and changes dynamically as the real world changes, depending on various contextual patterns....
