Fuzzy four-fold tables: Their properties and use in fuzzy association analysis

Kupka, Jiří; Rusnok, Pavel

doi:10.1016/j.ijar.2019.03.002

Cited by 1 publication

(1 citation statement)

References 19 publications

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“…The data that the former needs to deal with are discrete, which can represent the relationship between different variables, while the latter is to process the numerical field, discretize, segment, or directly process the data. According to the abstract level of the data to be processed, it can be divided into single-layer and multi-layer association rules [22]. For the former, all variables are at the same level, without considering that the data, in reality, may have different levels; for the latter, multi-layer data is fully considered, that is, the rules contain multiple hierarchical attribute variables.…”

Section: Analysis Of Fuzzy Association Rulesmentioning

confidence: 99%

Cross-Dimension Mining Model of Public Opinion Data in Online Education Based on Fuzzy Association Rules

Lin

2021

Mobile Netw Appl

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The multi-dimensional characteristics of public opinion in online education lead to the difficulty of data cross-dimensional mining. To solve this problem, this paper designs a cross-dimensional data mining model of public opinion in online education based on fuzzy association rules. Based on the public opinion subject, object, and ontology to analyze the characteristics of public opinion in online education, Yaahp software is used to calculate the influence factor weight of public opinion in online education. According to the weight analysis results, the relationship between the dimensions of various public opinion data is clarified by using data semantic association. This paper introduces the fuzzy set theory into the database and uses crawlers to obtain public opinion data and stores them in the database, to complete the data preprocessing through distributed text preprocessing, feature selection distributed computing, and text vectorization distributed computing. Taking the cloud computing platform as the core, the cross-dimension mining model of public opinion in online education data is constructed according to the dimension correlation analysis and preprocessing results. The simulation results show that the model has the advantages of wide range, fast speed, and high accuracy, and can provide data support for education reform.

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Section: Analysis Of Fuzzy Association Rulesmentioning

confidence: 99%

Cross-Dimension Mining Model of Public Opinion Data in Online Education Based on Fuzzy Association Rules

Lin

2021

Mobile Netw Appl

View full text Add to dashboard Cite

show abstract

Fuzzy four-fold tables: Their properties and use in fuzzy association analysis

Cited by 1 publication

References 19 publications

Cross-Dimension Mining Model of Public Opinion Data in Online Education Based on Fuzzy Association Rules

Cross-Dimension Mining Model of Public Opinion Data in Online Education Based on Fuzzy Association Rules

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