Link Analysis in Web Mining: Techniques and Applications

Desikan, Prasanna; DeLong, Colin; Srivastava, Jaideep

doi:10.1002/9780470588222.ch5

Cited by 5 publications

(9 citation statements)

References 20 publications

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“…The hyperlink is within the web document (Intra-document hyperlink) and hyperlink is within the web itself (Inter-document hyperlink). Hyperlink approach used hyperlink analysis tool to improve the search quality mechanism [13]. It also utilizes several link analysis models to examine the link quality such as PageRank, Weighted PageRank and HITS (Hypertext Induced Topic search) algorithms.…”

Section: Hyperlinkmentioning

confidence: 99%

Analysis of web mining technology and their impact on semantic web

Vijay

Singh²

2014

2014 Innovative Applications of Computational Intelligence on Power, Energy and Controls With Their Impact on Humanity (CIPECH)

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Web mining gives an innovative direction for scientific research and pushing web technology to toward making the meaning information and exploits some data mining techniques to automatically extract valuable information from the World Wide Web. It makes an environment where the information available on the web can be semantically interpreted. Web mining assembles more feature to built web personalize interaction and customizing a web site according to the requirements of users, obtaining advantage of the knowledge attained from the study of the user's browsing behavior. However, the existing heterogeneous environment and usually a large server can't guarantee the reliability and making unstructured information. Therefore necessitate for research activities in web mining to extending a standard but intelligent, adaptive and distributed framework for the support of heterogeneous environment is apparent and semantic web is most promising techniques at that instances. In this work we have tried to through the light on concept of web mining techniques.

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Section: Hyperlinkmentioning

confidence: 99%

Analysis of web mining technology and their impact on semantic web

Vijay

Singh²

2014

2014 Innovative Applications of Computational Intelligence on Power, Energy and Controls With Their Impact on Humanity (CIPECH)

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“…There are several approaches to compute ranking in web search result, e.g., [1], [2], [3]. The most notable approach for web ranking is Google's PageRank [4], [5].…”

Section: Introductionmentioning

confidence: 99%

An efficient algorithm for density-balanced partitioning in distributed pagerank

Sangamuang

Boonma

Natwichai

2014

Ninth International Conference on Digital Information Management (ICDIM 2014)

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Google's PageRank is the most notable approach for web search ranking. In general, web pages are represented by web-link graph; a web-page is represented by a node, and a link between two pages is represented by an edge. In particular, it is not efficient to perform PageRank of a large web-link graph in a single computer. Distributed systems, such as P2P, are viable choices to address such limitation. In P2P-based PageRank, each computational peer contains a partial weblink graph, i.e., a sub-graph of the global web-link graph, and its PageRank is computed locally. The convergence time of a PageRank calculation is affected by the web-link graph density, i.e., the ratio of the number of edges to the number of nodes, such that if a web-link graph has high density, it will take longer time to converge. As the execution time to compute the P2P-based web ranking is influenced by the execution time of the slowest peer to compute the local ranking, the density-balanced local web-link graph partitioning can be highly desirable. This paper addresses a density-balanced partitioning problem and proposes an efficient algorithm for the problem. The experiment results show that the proposed algorithm can effectively partition graph into density-balanced subgraph with an acceptable cost.

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“…Pal et al (2002) also present an overview of popular machine-learning techniques applied to web mining. The work in Desikan et al (2002), Faca and Lanzi (2005), Getoor and Diehl (2005) and Srivastava et al (2000) provide theoretical knowledge on specific web-mining categories.…”

Section: Introductionmentioning

confidence: 99%

An overview of web mining in societal benefit areas

Lappas¹

2008

Online Information Review

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PurposeThe focus of this paper is a survey of web‐mining research related to areas of societal benefit. The article aims to focus particularly on web mining which may benefit societal areas by extracting new knowledge, providing support for decision making and empowering the effective management of societal issues.Design/methodology/approachE‐commerce and e‐business are two fields that have been empowered by web mining, having many applications for increasing online sales and doing intelligent business. Have areas of social interest also been empowered by web mining applications? What are the current ongoing research and trends in e‐services fields such as e‐learning, e‐government, e‐politics and e‐democracy? What other areas of social interest can benefit from web mining? This work will try to provide the answers by reviewing the literature for the applications and methods applied to the above fields.FindingsThere is a growing interest in applications of web mining that are of social interest. This reveals that one of the current trends of web mining is toward the connection between intelligent web services and societal benefit applications, which denotes the need for interdisciplinary collaboration between researchers from various fields.Originality/valueOn the one hand, this work presents to the web‐mining community an overview of research opportunities in societal benefit areas. On the other hand, it presents to web researchers from various disciplines an approach for improving their web studies by considering web mining as a powerful research tool.

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Link Analysis in Web Mining: Techniques and Applications

Cited by 5 publications

References 20 publications

Analysis of web mining technology and their impact on semantic web

Analysis of web mining technology and their impact on semantic web

An efficient algorithm for density-balanced partitioning in distributed pagerank

An overview of web mining in societal benefit areas

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