New Approach Exploring Unclear Weighted Association Rules Using Weighted Support and Trust Framework by using Data Mining

Authors

  • Bassam Talib Sabri Department of Business Information Technology / University of Information Technology and Communications Baghdad, Iraq

Keywords:

Rule Mining, Support Threshold, Term weighting theories, Text categorization, tf–idf

Abstract

Automatic classification of text is one of the important applications and search subject ago the Foundation of digital document. Text classification is necessary and the reason excessive number of document text handled daily. This study mainly aims to integrate data mining techniques with classification tasks to build a web text classification (TC) method by 1) influencing the full amount of information contained within web documents for classification and 2) increasing the effectiveness of search processes to identify similar or related information for users. Hypertext classification differs from traditional TC; information beyond web document contents, such as metadata, is a useful source of information. The unification of metadata with text using simple combination methods effectively improves classification performance. Results show that these classifiers are common, accurate, and perform effectively. The accuracy measure is 91%.

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References

Automatic classification of text is one of the important applications and search subject ago the Foundation of digital document. Text classification is necessary and the reason excessive number of document text handled daily. This study mainly aims to integrate data mining techniques with classification tasks to build a web text classification (TC) method by 1) influencing the full amount of information contained within web documents for classification and 2) increasing the effectiveness of search processes to identify similar or related information for users. Hypertext classification differs from traditional TC; information beyond web document contents, such as metadata, is a useful source of information. The unification of metadata with text using simple combination methods effectively improves classification performance. Results show that these classifiers are common, accurate, and perform effectively. The accuracy measure is 91%.

Catalogue of Mining Network

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Published

27.12.2022

How to Cite

Sabri, B. T. . (2022). New Approach Exploring Unclear Weighted Association Rules Using Weighted Support and Trust Framework by using Data Mining. International Journal of Intelligent Systems and Applications in Engineering, 10(3s), 100–112. Retrieved from https://ijisae.org/index.php/IJISAE/article/view/2417

Issue

Vol. 10 No. 3s (2022)

Section

Research Article

License

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