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Detection of Fuzzy Association Rules by Fuzzy Transforms [PDF]
Advances in Fuzzy Systems, 2012 We present a new method based on the use of fuzzy transforms for detecting coarse-grained association rules in the datasets. The fuzzy association rules are represented in the form of linguistic expressions and we introduce a pre-processing phase to ...
Ferdinando Di Martino, Salvatore Sessa
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Building an Associative Classifier Based on Fuzzy Association Rules [PDF]
International Journal of Computational Intelligence Systems, 2008 Classification based on association rules is considered to be effective and advantageous in many cases. However, there is a so-called "sharp boundary" problem in association rules mining with quantitative attribute domains.
Zuoliang Chen, Guoqing Chen
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Fuzzy Meta-Association Rules [PDF]
Advances in Intelligent Systems Research, 2015 Association rules is a useful tool to extract new information from raw data expressed in a comprehensive way for decision makers. However, in some applications raw data might not be available for several reasons. First, stream data are only temporarily available for their processing or if it is stored, only summaries or representations of the extracted
M. Dolores Ruiz +4 more
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Iraqi Journal for Computer Science and Mathematics, 2023 There is a real increasing in the generating of data from different sources. Data mining (DM) is a useful method to elicit valuable information. Association rule mining (ARM) can assist in finding patterns and trends in big data.
Hind R. Ibraheem , Murtadha M. Hamad
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Fuzzy Association Rule Mining [PDF]
Journal of Computer Science, 2015 The paper attempts to propose a fuzzy logic association algorithm to predict the risks involved in identifying diseases like breast cancer. Fuzzy logic algorithm is used to find association rules. The results of the study revealed that the prediction is better reliable than conventional methods.
A. Lekha, C. V. Srikrishna, Viji Vinod
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ck-FARM: An R package to discover big data associations for business intelligence
SoftwareX, 2023 Fuzzy association rule mining (FARM) is a well-known data mining algorithm to identify frequently occurring patterns from datasets, in which the fuzzy set theory is applied to consider linguistic variables for building an explainable reasoning system. In
George To Sum Ho +3 more
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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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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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Neutrosophic Fuzzy Association Rule Generation-Based Big Data Mining Analysis Algorithm
International Transactions on Electrical Energy Systems, 2022 As a very common and classic big data (BD) mining algorithm, the association rule data mining (DM) algorithm is often used to determine the internal correlation between different items and set a certain threshold to determine the size of the correlation.
Qunfeng Wei, Bin Qi
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Anomaly detection in business processes using process mining and fuzzy association rule learning
Journal of Big Data, 2020 Much corporate organization nowadays implement enterprise resource planning (ERP) to manage their business processes. Because the processes run continuously, ERP produces a massive log of processes.
Riyanarto Sarno +2 more
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