Results 11 to 20 of about 131,083 (291)
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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Fuzzy association rules for biological data analysis: A case study on yeast [PDF]
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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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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Using fuzzy association rule mining in cancer classification [PDF]
Australasian Physical & Engineering Sciences in Medicine, 2011 The classification of the cancer tumors based on gene expression profiles has been extensively studied in numbers of studies. A wide variety of cancer datasets have been implemented by the various methods of gene selection and classification to identify ...
Abdul Rahim, Raha +4 more
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Bayesian Belief Network untuk Menghasilkan Fuzzy Association Rules
Jurnal Teknik Industri, 2010 Bayesian Belief Network (BBN), one of the data mining classification methods, is used in this research for mining and analyzing medical track record from a relational data table.
Rolly Intan +2 more
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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
Miguel Delgado +4 more
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Incremental maintenance of discovered fuzzy association rules
Fuzzy Optimization and Decision Making, 2021 Fuzzy association rules (FARs) are a recognized model to study existing relations among data, commonly stored in data repositories. In real-world applications, transactions are continuously processed with upcoming new data, rendering the discovered rules information inexact or obsolete in a short time.
A. Pérez-Alonso +3 more
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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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Data Mining Using Association Rules for Intuitionistic Fuzzy Data
Information, 2023 This paper considers approaches to the computation of association rules for intuitionistic fuzzy data. Association rules can provide guidance for assessing the significant relationships that can be determined while analyzing data.
Frederick Petry, Ronald Yager
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Risk assessment of data asset management based on fuzzy hierarchy method and association rules [PDF]
SHS Web of Conferences, 2023 In the current data asset management risk assessment, the processing of assessment indicators is relatively simple, which leads to large errors in the assessment results.
Chen Shuguo +3 more
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