Improving Web Page Access Prediction using Web Usage Mining and Web Content Mining

2019 ◽  
Author(s):  
Pooja M. Bharti ◽  
Tushar J. Raval
Keyword(s):  
Web Usage Mining ◽  
Web Content ◽  
Web Page ◽  
Web Content Mining ◽  
Web Usage ◽  
Content Mining

Performance Comparison of Data Mining Classifiers on Web Log Data

2020 ◽  
Vol 17 (11) ◽  
pp. 5113-5116
Author(s):  
Varun Malik ◽  
Vikas Rattan ◽  
Jaiteg Singh ◽  
Ruchi Mittal ◽  
Urvashi Tandon
Keyword(s):  
Web Mining ◽  
Performance Comparison ◽  
Web Usage Mining ◽  
Classification Algorithms ◽  
Web Content ◽  
Web Usage ◽  
Web Structure ◽  
Web Structure Mining ◽  
Content Mining ◽  
The Web

Web usage mining is the branch of web mining that deals with mining of data over the web. Web mining can be categorized as web content mining, web structure mining, web usage mining. In this paper, we have summarized the web usage mining results executed over the user tool WMOT (web mining optimized tool) based on the WEKA tool that has been used to apply various classification algorithms such as Naïve Bayes, KNN, SVM and tree based algorithms. Authors summarized the results of classification algorithms on WMOT tool and compared the results on the basis of classified instances and identify the algorithms that gives better instances accuracy.

A Heuristic Mining Algorithm Using Web Hyperlink Structure

2010 ◽  
Vol 108-111 ◽  
pp. 11-16
Author(s):  
Chun Lai Chai
Keyword(s):  
Data Mining ◽  
Web Mining ◽  
Web Usage Mining ◽  
Web Content ◽  
Web Content Mining ◽  
Web Structure ◽  
Mining Algorithm ◽  
Web Structure Mining ◽  
Content Mining ◽  
The Web

Web mining aims to discover useful information or knowledge from the Web hyperlink structure, page content and usage log. Based on the primary kind of data used in the mining process, Web mining tasks are categorized into three main types: Web structure mining, Web content mining and Web usage mining. Following is what they do on Web Data Mining. This paper proposed a heuristic mining algorithm.

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