Article

Mining web logs to improve website organization

Authors:

Ramakrishnan Srikant,

Yinghui YangAuthors Info & Claims

WWW '01: Proceedings of the 10th international conference on World Wide Web

Pages 430 - 437

https://doi.org/10.1145/371920.372097

Published: 01 April 2001 Publication History

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Cited By

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Ramadhan H(2023)Identifying Candidate Pages for Shortcuts in a Website for Site Personalization and Adaptation2023 Fourth International Conference on Intelligent Data Science Technologies and Applications (IDSTA)10.1109/IDSTA58916.2023.10317840(54-58)Online publication date: 24-Oct-2023
https://doi.org/10.1109/IDSTA58916.2023.10317840
Ramaciotti Morales PTabourier LUng SPrieur CAtzenbeck CRubart JMillard D(2019)Role of the Website Structure in the Diversity of Browsing BehaviorsProceedings of the 30th ACM Conference on Hypertext and Social Media10.1145/3342220.3343648(133-142)Online publication date: 12-Sep-2019
https://dl.acm.org/doi/10.1145/3342220.3343648
Kumar RPandey PPattnaik P(2017)Discover Patterns from Web-Based DatasetWeb Data Mining and the Development of Knowledge-Based Decision Support Systems10.4018/978-1-5225-1877-8.ch006(78-106)Online publication date: 2017
https://doi.org/10.4018/978-1-5225-1877-8.ch006
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Index Terms

Mining web logs to improve website organization
1. Human-centered computing
  1. Human computer interaction (HCI)
    1. Interaction paradigms
      1. Web-based interaction
2. Information systems
  1. Information systems applications
    1. Data mining
  2. World Wide Web

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Information & Contributors

Information

Published In

WWW '01: Proceedings of the 10th international conference on World Wide Web

May 2001

770 pages

ISBN:1581133480

DOI:10.1145/371920

Chairmen:
Vincent Y. Shen
Hong Kong Univ. of Science and Technology
,
Nobuo Saito
Keio Univ., Japan
,
Michael R. Lyu
Chinese Univ. of Hong Kong, HK
,
Mary Ellen Zurko
Iris Associates,USA

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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SIGWEB: ACM Special Interest Group on Hypertext, Hypermedia, and Web

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 01 April 2001

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Sponsor:

IW3C2

WWW01: Hypermedia Track of the 10th International World Wide Web Conference

May 1 - 5, 2001

Hong Kong, Hong Kong

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Overall Acceptance Rate 1,899 of 8,196 submissions, 23%

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Cited By

View all

Ramadhan H(2023)Identifying Candidate Pages for Shortcuts in a Website for Site Personalization and Adaptation2023 Fourth International Conference on Intelligent Data Science Technologies and Applications (IDSTA)10.1109/IDSTA58916.2023.10317840(54-58)Online publication date: 24-Oct-2023
https://doi.org/10.1109/IDSTA58916.2023.10317840
Ramaciotti Morales PTabourier LUng SPrieur CAtzenbeck CRubart JMillard D(2019)Role of the Website Structure in the Diversity of Browsing BehaviorsProceedings of the 30th ACM Conference on Hypertext and Social Media10.1145/3342220.3343648(133-142)Online publication date: 12-Sep-2019
https://dl.acm.org/doi/10.1145/3342220.3343648
Kumar RPandey PPattnaik P(2017)Discover Patterns from Web-Based DatasetWeb Data Mining and the Development of Knowledge-Based Decision Support Systems10.4018/978-1-5225-1877-8.ch006(78-106)Online publication date: 2017
https://doi.org/10.4018/978-1-5225-1877-8.ch006
Kumar AUmagandhi R(2017)Applications of Web Usage Mining across IndustriesDecision Management10.4018/978-1-5225-1837-2.ch095(2005-2029)Online publication date: 2017
https://doi.org/10.4018/978-1-5225-1837-2.ch095
Kumar AUmagandhi R(2017)Applications of Web Usage Mining across IndustriesWeb Usage Mining Techniques and Applications Across Industries10.4018/978-1-5225-0613-3.ch004(92-115)Online publication date: 2017
https://doi.org/10.4018/978-1-5225-0613-3.ch004
Jain RSinghai R(2017)Analysis of User's Browsing Behavior and Their Categorization Using Markov Chain ModelWeb Usage Mining Techniques and Applications Across Industries10.4018/978-1-5225-0613-3.ch002(29-79)Online publication date: 2017
https://doi.org/10.4018/978-1-5225-0613-3.ch002
Xu CZhang J(2017)Collusive Opinion Fraud Detection in Online ReviewsACM Transactions on the Web10.1145/309885911:4(1-28)Online publication date: 24-Jul-2017
https://dl.acm.org/doi/10.1145/3098859
Wang GZhang XTang SWilson CZheng HZhao B(2017)Clickstream User Behavior ModelsACM Transactions on the Web10.1145/306833211:4(1-37)Online publication date: 25-Jul-2017
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Koutrika GLin Q(2017)A Study of Web PrintACM Transactions on the Web10.1145/306833111:4(1-26)Online publication date: 25-Jul-2017
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Shyamala KKalaivani S(2017)An effective web page reorganization through heap tree and farthest first clustering approach2017 IEEE International Conference on Power, Control, Signals and Instrumentation Engineering (ICPCSI)10.1109/ICPCSI.2017.8392119(2259-2262)Online publication date: Sep-2017
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