Article

Web Mining: Information and Pattern Discovery on the World Wide Web

ICTAI '97: Proceedings of the 9th International Conference on Tools with Artificial Intelligence

Page 558

Published: 03 November 1997 Publication History

Abstract

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 Web mining has been used in two distinct ways. The first, called Web content mining in this paper, is the process of information discovery from sources across the World Wide Web. The second, called Web usage mining, is the process of mining for user browsing and access patterns. In this paper we define Web mining and present an overview of the various research issues, techniques, and development efforts. We briefly describe WEBMINER, a system for Web usage mining, and conclude this paper by listing research issues.

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Mohan AAbdelrazeq AHees F(2019)Recommendation System in Business Intelligence Solutions for Grocery shopsProceedings of the 3rd International Conference on E-commerce, E-Business and E-Government10.1145/3340017.3340030(53-57)Online publication date: 18-Jun-2019
https://dl.acm.org/doi/10.1145/3340017.3340030
Li JXing ZSun A(2019)LinkLiveWorld Wide Web10.1007/s11280-018-0621-y22:4(1699-1725)Online publication date: 1-Jul-2019
https://dl.acm.org/doi/10.1007/s11280-018-0621-y
Hämäläinen WWebb G(2019)A tutorial on statistically sound pattern discoveryData Mining and Knowledge Discovery10.1007/s10618-018-0590-x33:2(325-377)Online publication date: 1-Mar-2019
https://dl.acm.org/doi/10.1007/s10618-018-0590-x
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Index Terms

Web Mining: Information and Pattern Discovery on the World Wide Web
1. Human-centered computing
  1. Human computer interaction (HCI)
    1. Interaction paradigms
      1. Web-based interaction
2. Information systems
  1. Information retrieval
  2. Information systems applications
    1. Data mining

Index terms have been assigned to the content through auto-classification.

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ICTAI '97: Proceedings of the 9th International Conference on Tools with Artificial Intelligence

November 1997

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IEEE Computer Society

United States

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Published: 03 November 1997

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Mohan AAbdelrazeq AHees F(2019)Recommendation System in Business Intelligence Solutions for Grocery shopsProceedings of the 3rd International Conference on E-commerce, E-Business and E-Government10.1145/3340017.3340030(53-57)Online publication date: 18-Jun-2019
https://dl.acm.org/doi/10.1145/3340017.3340030
Li JXing ZSun A(2019)LinkLiveWorld Wide Web10.1007/s11280-018-0621-y22:4(1699-1725)Online publication date: 1-Jul-2019
https://dl.acm.org/doi/10.1007/s11280-018-0621-y
Hämäläinen WWebb G(2019)A tutorial on statistically sound pattern discoveryData Mining and Knowledge Discovery10.1007/s10618-018-0590-x33:2(325-377)Online publication date: 1-Mar-2019
https://dl.acm.org/doi/10.1007/s10618-018-0590-x
Blazquez DDomenech JGil JPont A(2019)Monitoring e-commerce adoption from online dataKnowledge and Information Systems10.1007/s10115-018-1233-760:1(227-245)Online publication date: 1-Jul-2019
https://dl.acm.org/doi/10.1007/s10115-018-1233-7
Ganibardi AAli C(2018)Weblog Data StructurationProceedings of the 20th International Conference on Information Integration and Web-based Applications & Services10.1145/3282373.3282379(263-271)Online publication date: 19-Nov-2018
https://dl.acm.org/doi/10.1145/3282373.3282379
Miller JPanwar AOnut ISmith M(2017)On the Concept of Automatic User Behavior Profiling of WebsitesInternational Journal of Systems and Service-Oriented Engineering10.4018/IJSSOE.20170101017:1(1-20)Online publication date: 1-Jan-2017
https://dl.acm.org/doi/10.4018/IJSSOE.2017010101
Goswami AKumar A(2017)Challenges in the Analysis of Online Social NetworksWireless Personal Communications: An International Journal10.1007/s11277-017-4712-397:3(4015-4061)Online publication date: 1-Dec-2017
https://dl.acm.org/doi/10.1007/s11277-017-4712-3
Intayoad WBecker TTemdee P(2017)Social Context-Aware Recommendation for Personalized Online LearningWireless Personal Communications: An International Journal10.1007/s11277-017-4499-297:1(163-179)Online publication date: 1-Nov-2017
https://dl.acm.org/doi/10.1007/s11277-017-4499-2
Xenaros AKarampelas PLekea ISubrahmanian VRokne JKumar RCaverlee JTong H(2016)Profiling individuals based on email analysis and ego networksProceedings of the 2016 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining10.5555/3192424.3192656(1262-1269)Online publication date: 18-Aug-2016
https://dl.acm.org/doi/10.5555/3192424.3192656
Kemmar ALebbah YLoudni S(2016)A Constraint Programming Approach for Web Log MiningInternational Journal of Information Technology and Web Engineering10.4018/IJITWE.201610010211:4(24-42)Online publication date: 1-Oct-2016
https://dl.acm.org/doi/10.4018/IJITWE.2016100102
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Data Preparation for Mining World Wide Web Browsing Patterns

Interpretable Mining of Influential Patterns from Sparse Web

Bitwise parallel association rule mining for web page recommendation

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