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Web Mining for Identifying Research Trends

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Digital Libraries: Technology and Management of Indigenous Knowledge for Global Access (ICADL 2003)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 2911))

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Abstract

This paper proposes a web mining approach for identifying research trends. The proposed approach comprises a number of data mining techniques. To perform web mining, the Indexing Agents search and download scientific publications from web sites that typically include academic web pages, then they extract citations and store them in a Web Citation Database. The Temporal Document Clustering technique and Journal Co-Citation Clustering technique are applied to the Web Citation Database to generate temporal document clusters and journal clusters respectively. The Multi-Clustering technique is then proposed to mine the document and journal clusters for their inter-relationships. Finally, the knowledge that is mined from the inter-relationships is used for the detection of trends and emergent trends for a specified research area. In this paper, we will discuss the proposed web mining approach, and the performance of the proposed approach.

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Author information

Authors and Affiliations

  1. School of Computer Engineering, Nanyang Technological University, Singapore

    Quan Thanh Tho, Siu Cheung Hui & Alvis Fong

Authors
  1. Quan Thanh Tho
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  2. Siu Cheung Hui
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  3. Alvis Fong
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Editor information

Editors and Affiliations

  1. Department of Information Science, Faculty of Information Science & Technology, Universiti Kebangsaan Malaysia, Bangi, 43600, UKM Selangor, Malaysia

    Tengku Mohd Tengku Sembok

  2. Universiti Kebangsaan Malaysia, Bangi, Malaysia

    Halimah Badioze Zaman

  3. Department of Management Information Systems, Eller College of Management, The University of Arizona, AZ 85721, USA

    Hsinchun Chen

  4. International School of Information Management, University of Mysore, Mysore, India

    Shalini R. Urs

  5. School of Engineering, Information and Communications University, 119, Munjiro, Yuseong-gu, 305-732, Daejeon, Korea

    Sung-Hyon Myaeng

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© 2003 Springer-Verlag Berlin Heidelberg

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Tho, Q.T., Hui, S.C., Fong, A. (2003). Web Mining for Identifying Research Trends. In: Sembok, T.M.T., Zaman, H.B., Chen, H., Urs, S.R., Myaeng, SH. (eds) Digital Libraries: Technology and Management of Indigenous Knowledge for Global Access. ICADL 2003. Lecture Notes in Computer Science, vol 2911. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-24594-0_28

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  • DOI: https://doi.org/10.1007/978-3-540-24594-0_28

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-20608-8

  • Online ISBN: 978-3-540-24594-0

  • eBook Packages: Springer Book Archive

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