Evolving temporal fuzzy itemsets from quantitative data with a multi-objective evolutionary algorithm [PDF]
, 2011 We present a novel method for mining itemsets that are both quantitative and temporal, for association rule mining, using multi-objective evolutionary search and optimisation.
Gongora, Mario A. +9 more
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Recommendation with quantitative implication rules [PDF]
EAI Endorsed Transactions on Context-aware Systems and Applications, 2019 Association rules based recommendation is one of approaches to develop recommendation systems. However, such systems just focus on binary dataset, whereas many datasets are in the quantitative form. There are many solutions proposed for this problem such
Hoang Nguyen +3 more
doaj +1 more source
International Journal of Interactive Multimedia and Artificial Intelligence, 2022 Association rule mining is an important data mining technique used for discovering relationships among all data items. Membership functions have a significant impact on the outcome of the mining association rules.
Zohreh Anari +2 more
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Evolving temporal association rules with genetic algorithms [PDF]
, 2010 A novel framework for mining temporal association rules by discovering itemsets with a genetic algorithm is introduced. Metaheuristics have been applied to association rule mining, we show the efficacy of extending this to another variant - temporal ...
Gongora, Mario A. +6 more
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Fuzzy association rules for biological data analysis: A case study on yeast
BMC Bioinformatics, 2008 Background Last years' mapping of diverse genomes has generated huge amounts of biological data which are currently dispersed through many databases.
Cano Carlos +4 more
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Cluster-Based Membership Function Acquisition Approaches for Mining Fuzzy Temporal Association Rules
IEEE Access, 2020 In real-world applications, transactions are typically represented by quantitative data. Thus, fuzzy association rule mining algorithms have been proposed to handle these quantitative transactions.
Chun-Hao Chen +3 more
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Developing a Course Recommender by Combining Clustering and Fuzzy Association Rules [PDF]
Journal of Artificial Intelligence and Data Mining, 2019 Each semester, students go through the process of selecting appropriate courses. It is difficult to find information about each course and ultimately make decisions.
Sh. Asadi +2 more
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Discovering interesting knowledge from a science & technology database with a genetic algorithm [PDF]
, 2004 Data mining consists of extracting interesting knowledge from data. This paper addresses the discovery of knowledge in the form of prediction IF-THEN rules, which are a popular form of knowledge representation in data mining.
Gimenes, Itana M. de S. +2 more
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arules - A Computational Environment for Mining Association Rules and Frequent Item Sets [PDF]
, 2005 Mining frequent itemsets and association rules is a popular and well researched approach for discovering interesting relationships between variables in large databases.
Bettina Grün +6 more
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Research on Fuzzy Temporal Event Association Mining Model and Algorithm
Axioms, 2023 As traditional models and algorithms are less effective in dealing with complex and irregular temporal data streams, this work proposed a fuzzy temporal association model as well as an algorithm. The core idea is to granulate and fuzzify information from
Aihua Zhu, Zhiqing Meng, Rui Shen
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