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Extracting Temporal Association Rules Over Datacubes
Association rules are one of the most used data mining techniques. The first proposals have considered relations over time in different ways,...
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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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Mining Association Rules with Rough Sets
We say that there is an association between two sets of items when the sets are likely to occur together in transactions. In information retrieval,...
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A new evolutionary optimization based on multi-objective firefly algorithm for mining numerical association rules
Association rule mining (ARM) is a widely used technique in data mining for pattern discovery. However, association rule mining in numerical data...
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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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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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Website Personalization Using Association Rules Mining
Many companies are redefining their business strategies to improve the business output. Business over internet provides the opportunity to customers...
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Knowledge discovery in weather forecasting: mining fuzzy image association rules with fine-tuned CNN and fuzzy HIFP algorithm
In this paper, a novel approach for mining image association rules is presented, which involves the fine-tuned VGG-16 model, proposed fuzzy image...
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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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STARM: STreaming Association Rules Mining in High-Dimensional Data
Predictive analytics involves using Data Mining algorithms to discover knowledge from large databases. The Association Rules (ARs) mining technique...
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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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Extraction of Association Rules from Data Stream Using Genetic Algorithm
In this work, we are interested in the extraction of association rules on the data stream. We propose three strategies to deal with this problem:...
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Mining Frequent Patterns and Association Rules Using Similarity Measures
Association rule mining (ARM) discover interesting associations and connections between sets of data items. ARM algorithms are divided into two...
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A novel way to compute association rules
Association Rule mining is the prime booming field among researchers. Apriori algorithm is a prime algorithm to compute association rules. Apriori...
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A Novel Association Rules Mining Based on Improved Fusion Particle Swarm Optimization Algorithm
Association rule learning is to mine the correlation between items and objects from certain data or other information carriers, and the results can...
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Association Rules for Buffer Overflow Vulnerability Detection Using Machine Learning
Buffer overflow (BoF) vulnerability can be exploited by cyber-attackers to gain access and take control of information systems. As a result,...
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Explaining Learned Patterns in Deep Learning by Association Rules Mining
This paper proposes a novel approach that combines an association rule algorithm with a deep learning model to enhance the interpretability of...
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Risk Prediction Model of Financial Lending Big Data Leakage Based on Association Rules
Aiming at the problem of insufficient prediction accuracy of financial lending big data leakage risk, this paper puts forward the construction method...
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Development and Software Implementation of the Design Documentation Verification Model Based on Association Rules
The article provides a method based on the construction and use of association rules. The method is used to verification the design documentation in...