web mining-123





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, evaluatePage 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

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

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 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

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

Page ranking algorithms for web mining
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As the web is growing rapidly, the users get easily lost in the webs rich hyper structure. The primary goal of the web site owner is to provide the relevant information to the users to fulfill their needs. Web mining technique is used to categorize users and pages by analyzing

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

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

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 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

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

Data preprocessing in web usage mining
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It is well known that over 80% of the time required to carry out any real world data mining project is usually spent on data preprocessing. Data preprocessing lays the groundwork for data mining . Web mining is to discover and extract useful information from the world wide

Fully unsupervised discovery of concept-specific relationships by web mining
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We present a web mining method for discovering and enhancing relationships in which a specified concept (word class) participates. We discover a whole range of relationships focused on the given concept, rather than generic known relationships as in most previous

An implementation of web personalization using web mining techniques
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Web mining is the application of data mining techniques to extract knowledge from Web . Web mining has been explored to a vast degree and different techniques have been proposed for a variety of applications that includes Web Search, Classification and

Web Structure Mining
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Abstract The World-Wide Web provides every internet citizen with access to an abundance of information, but it becomes increasingly difficult to identify the relevant pieces of information. Web mining is a new research area that tries to address this problem by

Web usage mining : a research area in web mining
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Web usage mining is a main research area in Web mining focused on learning about Web users and their interactions with Web sites. The motive of mining is to find users access models automatically and quickly from the vast Web log data, such as frequent access paths

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 structure mining : exploring hyperlinks and algorithms for information retrieval
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This paper focus on the Hyperlink analysis, the algorithms used for link analysis, compare those algorithms and the role of hyperlink analysis in Web searching. In the hyperlink analysis, the number of incoming links to a page and the number of outgoing links from that CSE PROJECTS

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