Data Mining and Fuzzy Data Mining Using MapReduce Algorithms
, 2021 Data mining is knowledge discovery process. It has to deal with exact information and inexact information. Statistical methods deal with inexact information but it is based on likelihood. Zadeh fuzzy logic deals with inexact information but it is based on belief and it is simple to use. Fuzzy logic is used to deal with inexact information.
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International Journal of Computational Intelligence SystemsDue to rapid information technology growth, teaching Chinese in higher education has changed, and Chinese literary majors have vigorously evolved.
Fei Teng
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AN ALGORITHM FOR GENERATING SINGLE DIMENSIONAL FUZZY ASSOCIATION RULE MINING
Jurnal Informatika, 2006 Association rule mining searches for interesting relationship among items in a large data set. Market basket analysis, a typical example of association rule mining, analyzes buying habit of customers by finding association between the different items ...
Rolly Intan
doaj
Generalized fuzzy data mining for incomplete information
2017 International Conference on Fuzzy Theory and Its Applications (iFUZZY), 2017 Defining data with fuzziness made the knowledge discovery process easy and secure to data in data mining. The fuzzy data bases may have linguistic variables. In this paper, fuzzy conditional inference and reasoning are studied for generalized fuzzy data mining. Generalized fuzzy data mining and reasoning is studied with two membership functions “Belief”
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MINING MULTIDIMENSIONAL FUZZY ASSOCIATION RULES FROM A DATABASE OF MEDICAL RECORD PATIENTS
Jurnal Informatika, 2008 Mining association rules is one of the important tasks in the process of data mining application. In general, the input as used in the process of generating rules is taken from a certain data table by which all the corresponding values of every domain ...
Rolly Intan +2 more
doaj
A Fuzzy Rule-Based Decision Support in Process Mining: Turning Diagnostics into Prescriptions
Applied SciencesIn this study, a fuzzy rule-based framework has been developed that expands from the diagnostic analyses traditionally offered by process mining to a decision-support structure that provides recommendations to managers.
Onur Dogan, Hunaıda Avvad
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Optimization of ecological and efficient restoration technology for green mines based on hesitant fuzzy TOPSIS. [PDF]
Sci RepWang B +5 more
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A novel multi objective grey wolf optimization fuzzy miner for process discovery: Incorporating robustness and explainability in model evaluation. [PDF]
PLoS OneSalehi M, Khayami R, Mirmozaffari M.
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Research on hazard factor identification and safety risk assessment of mineral processing operations. [PDF]
Sci RepGuan H, Fan W, Kang Y.
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