web mining technology


Web Mining : Information and Pattern Discovery on the World Wide Web .
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Application of data mining techniques to the World Wide Web , referred to as Web mining , has been the focus of several recent research projects and papers. However, there is no established vocabulary, leading to confusion when comparing research efforts. The term

Personalization on the net using web mining
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Three aspects of a Web site affect its utility in providing the intended service to its users. These are the content provided on the Web site, the layout of the individual pages, and the structure of the entire Web site itself. The relevance of each of the objects comprising a Web

Web mining : Pattern discovery from world wide web transactions
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Web -based organizations often generate and collect large volumes of data in their daily operations. Analyzing such data can help these organizations to determine the life time value of clients, design cross marketing strategies across products and services, evaluate

Web mining in soft computing framework: relevance, state of the art and future directions
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This paper summarizes the different characteristics of web data, the basic components of web mining and its different types, and their current states of the art. The reason for considering web mining , a separate field from data mining , is explained. The limitations of

Frequent pattern mining in web log data
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Frequent pattern mining is a heavily researched area in the field of data mining with wide range of applications. One of them is to use frequent pattern discovery methods in Web log data. Discovering hidden information from Web log data is called Web usage mining . The

Web page cleaning for web mining through feature weighting
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Unlike conventional data or text, Web pages typically contain a large amount of information that is not part of the main contents of the pages, eg, banner ads, navigation bars, and copyright notices. Such irrelevant information (which we call Web page noise) in Web pages Page 1. 1 Jaideep Srivastava Web Mining : Accomplishments Future Directions Jaideep Srivastava University of Minnesota USA srivasta@cs.umn.edu http://www.cs.umn.edu/faculty/ srivasta.html Mr. Prasanna Desikans help in preparing these slides is acknowledged Page 2

Using semantic web mining technologies for personalized e-learning experiences
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The challenge of the Semantic Web Mining technologies in the e-Learning domain can relate to the provision of personalized experiences for the users. Particularly, these applications can take into consideration the individual needs and requirements of learners

Named Entity Translation with Web Mining and Transliteration.
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This paper presents a novel approach to improve the named entity translation by combining a transliteration approach with web mining , using web information as a source to complement transliteration, and using transliteration information to guide and enhance web

Web mining and knowledge discovery of usage patterns
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Web mining is a very hot research topic which combines two of the activated research areas: Data Mining and World Wide Web . The Web mining research relates to several research communities such as Database, Information Retrieval and Artificial Intelligence. Although

A Road Map to More Effective Web Personalization: Integrating Domain Knowledge with Web Usage Mining .
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Personalization based on Web usage mining can enhance the effectiveness and scalability of collaborative filtering. However, without semantic knowledge about the underlying domain, such systems cannot recommend different types of complex objects based in their

Usage Mining for and on the Semantic Web
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Semantic Web Mining aims at combining the two fast-developing research areas Semantic Web and Web Mining . Web Mining aims at discovering insights about the meaning of Web resources and their usage. Given the primarily syntactical nature of data Web mining

Web content mining techniques: a survey
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The Quest for knowledge has led to new discoveries and inventions. With the emergence of World Wide Web , it became a hub for all these discoveries and inventions. Web browsers became a tool to make the information available at our finger tips. As years passed World

Student modeling for a web -based learning environment: a data mining approach
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This ongoing research focuses on how data mining techniques, if incorporated into web learning environments, can enhance the overall qualities of learning. In a web -based learning environment, where both the tutors and learners are separated spatially and

An algorithmic approach to data preprocessing in web usage mining
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Web usage Mining is an area of web mining which deals with the extraction of interesting knowledge from logging information produced by web server. Different data mining techniques can be applied on web usage data to extract user access patterns and this

Mining fuzzy association rules for web access case adaptation
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Web access path prediction using knowledge discovered from web logs has become an active research area. Web logs provide updated information about the users access record to a web site, which contains useful patterns waiting to be discovered and used for

A Framework for Personal Web Usage Mining .
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In this paper, we propose to mine Web usage data on client side, or personal Web usage mining , as a complement to the server side Web usage mining . By mining client side Web usage data, more complete knowledge about Web usage can be obtained. A framework for

Web content mining tools: a comparative study
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Web mining adopts data mining techniques to automatically discover and retrieve information from web documents and services. In this Paper we have discussed the concepts of Web mining . We have mainly focused on one of the categories of Web mining

Relation extraction for mining the Semantic Web
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The knowledge acquisition bottleneck problem, well-known to the Knowledge Management community, is turning the weaving of the Semantic Web (SW) into a hard and slow process. Nowadays high costs associated with producing two versions of a document one version

Mining web access logs of an on-line newspaper
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With the explosive growth of data available on the Internet, personalization of this information space become a necessity. An important component of web personalization is the automatic knowledge extraction from web log files. However, analysis of large web log



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