Mining web navigations for intelligence

Wu, Hao; Gordon, Michael D.; DeMaagd, Kurt; Fan, Weiguo

doi:10.1016/j.dss.2004.06.011

Cited by 34 publications

(12 citation statements)

References 10 publications

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“…The time complexity of our classifier construction algorithm is O(|R| 2 *|T|) in the worst case. Our approach is inspired by Principal Components Analysis, often used in exploratory data analysis and making predicative models (Wu et al, 2006).…”

Section: Procedures 1 Classifier Constructionmentioning

confidence: 99%

Principal Association Mining: An efficient classification approach

Chen

Yanlan

et al. 2014

Knowledge-Based Systems

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Section: Procedures 1 Classifier Constructionmentioning

confidence: 99%

Principal Association Mining: An efficient classification approach

Chen

Yanlan

et al. 2014

Knowledge-Based Systems

Self Cite

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“…al. [60] based on user's online activities use principal cluster analysis to identify a small number of major topics from millions of navigational data in an approach that can be useful in security against terrorism. Do et.…”

Section: Security and Crime Investigationmentioning

confidence: 99%

An Overview of Web Mining in Societal Benefit Areas

Lappas

2007

The 9th IEEE International Conference on E-Commerce Technology and the 4th IEEE International Conference on Enterprise Computin

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A survey of web mining research related to areas of social benefit is the focus of this paper. We particularly focus on web mining that may help and benefit societal areas in ways of extracting new knowledge, providing support for decision making and empowering valuable management of societal issues. E-commerce and Ebusiness are two fields empowered by web mining having lots of applications for increasing sales and doing intelligence business. Have areas of social interest also been empowered by web mining applications? What is currently the ongoing research and current trends in E-Services areas in fields like Elearning, E-Government, E-Politics and E-democracy?What other areas of social interest can be benefited from web mining? This paper will try to provide the answers by reviewing the literature for applications and methods applied to the above fields.

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“…Chen et al (2004b) provide a detailed study of methods on the web against terrorist groups for predictive modelling, terrorist network analysis, visualisation of terrorists' activities, linkages and relationships. The work by Wu et al (2006) which is based on users' online activities, employs principal cluster analysis to identify a small number of major topics from navigational data in an approach that can be useful in security against terrorism. Do et al (2004) implemented a system that can be beneficial to safe internet browsing at school, home and in the workplace.…”

Section: Oir 322mentioning

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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Mining web navigations for intelligence

Cited by 34 publications

References 10 publications

Principal Association Mining: An efficient classification approach

Principal Association Mining: An efficient classification approach

An Overview of Web Mining in Societal Benefit Areas

An overview of web mining in societal benefit areas

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