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Journals / Istanbul University Journal of Electrical and Electronics Engineering / 2009 / Cilt: 9 - Sayı: 2

Extraction of interesting patterns through association rule mining for improvement of website usability

İbrahim TÜRKOĞLU
Resul DAŞ
Pages
1037–1046
Publication Date
2022-10-18
DOI
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AI Summary & Key Takeaways

AI Insight
⚡ TL;DR(Too Long; Didn't Read)

Besides, web site development and about the availability of the site to give advice to managers and designers are available.

📌 3 Key Takeaways

🎯
Objective & Hypothesis:In this paper, a new approach for pre-processing stage of the web usage mining is proposed.
📊
Key Findings & Data:The significant and pure knowledge is contributed to structural organization of website.
💡
Conclusion & Impact:Besides, web site development and about the availability of the site to give advice to managers and designers are available.
🔬Design:Research Article
📍Scope:Comprehensive Sample
⚙️Variables:Domain Parameters

Abstract

In this paper, a new approach for pre-processing stage of the web usage mining is proposed. The proposed method provides more successful results when dealing with raw log files. Moreover the complexity of the proposed method is considerably low. The related areas in the log files are determined for mining stage. Then, by using the association rules method the interesting patterns are extracted for consequent goals. In the result of this study, knowledge extraction was performed by proposed method. The significant and pure knowledge is contributed to structural organization of website. Besides, web site development and about the availability of the site to give advice to managers and designers are available.

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Cite This Article

TÜRKOĞLU, İ., DAŞ, R. (2022). Extraction of interesting patterns through association rule mining for improvement of website usability. Istanbul University Journal of Electrical and Electronics Engineering, Cilt: 9 - Sayı: 2, 1037–1046. https://ajindex.com/articles/543729

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References (14)

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