Web Mining: A Survey of Current Research, Techniques, and Software

Zhang, Qingyu; Segall, Richard S.

doi:10.1142/s0219622008003150

Cited by 85 publications

(54 citation statements)

References 55 publications

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“…Few tools analyze user sessions and specific statistics about individual users [19]. We can categorize the tools based on the applications that use them, as shown in Table I [8], [12], [19], [20]. There are a number of issues related to web usage mining that affect the utilization of the mined information.…”

Section: Tools For Web Usage Miningmentioning

confidence: 99%

Application and Significance of Web Usage Mining in the 21st Century: A Literature Review

Aldekhail¹

2016

IJCTE

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Abstract-Web mining is an exciting discipline in the domain of data mining as well as in classification/clustering. Identifying the usage patterns of users is very important in utilizing the vast information available in the World Wide Web. Web usage mining entails identifying usage pattern and has many practical applications. It focuses on techniques that have the potential to predict user behaviour while the user interacts with the Web. The aim of this paper is to provide a general view on web usage mining and its importance for designers and those interested in e-commerce and website personalization. The paper explains in detail the process of web usage mining and the different techniques used for pattern discovery. Also, it illustrates the different applications and tools used for web usage mining. Finally, it explains some current issues and challenges such as privacy and scalability, which are important issues in web usage mining.. Index Terms-Privacy, usage mining, web mining, web personalization.

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Section: Tools For Web Usage Miningmentioning

confidence: 99%

Application and Significance of Web Usage Mining in the 21st Century: A Literature Review

Aldekhail¹

2016

IJCTE

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“…Some of the tools are i) Web Info Extractor (WIE): This is a tool for data mining, extracting Web content, and web content Analysis and it can extract structured or unstructured data from Web page, reform into local file or save to database, place into Web server [11]. Features:…”

Section: Web Content Mining Toolsmentioning

confidence: 99%

A Review of Trends in Research on Web Content Mining

2016

IJMTER

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Web is a platform for information exchange, as it is simple and easy to publish documents. Searching for information becomes a difficult and time-consuming process as the web grows. Web mining uses various data mining techniques to discover useful knowledge from usage log file from the web. The mining tools are used to scan the HTML documents, images, and text, the results is provided for the search engines. It can assist search engines in providing productive results of each search in order of their relevance. Web mining research relates to several research communities such as Database, information Retrieval and Artificial intelligence, visualization. This paper reviews the research, tools and application issues in web mining besides proving an overall view of Web content mining.

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“…By using a set of tightly restricted keywords and phrases, an experienced user can quickly identify appropriate documents [6]. However, current keyword-based search engines suffer from several deficiencies.…”

Section: A Web Search-engine Data Miningmentioning

confidence: 99%