Skip to main content
SpringerLink
Log in

Subgroup Discovery among Personal Homepages

  • Conference paper
Discovery Science (DS 2003)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 2843))

Included in the following conference series:

Abstract

This paper discusses our algorithm for finding subgroups among personal homepages. Assuming that personal homepages usually carry personal information, we have developed an algorithm that allows us to automatically find potential patterns from them. For example, when the algorithm is applied to personal homepages at some school, we can approximate the ratio between the number of students interested in information science and that of students interested in social science. In the experiment, we successfully created subgroups that showed characteristics of the school. Also, we found relations between subgroups that are important for enhancing human activity.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Log in via an institution
Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 39.99
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 54.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. Donath, J.S.: Visual Who: Animating the affinities and activities of an electronic community. ACM Multimedia 95 (1995)

    Google Scholar 

  2. Ishida, T.: Towards Communityware. New Generation Computing 16(1), 5–22 (1998)

    Article  Google Scholar 

  3. Kauts, H., Selman, B., Shah, M.: The Hidden Web. AI Magazine 18(2), 27–36 (1997)

    Google Scholar 

  4. Murata, T.: Discovery of the Structures ofWeb Communities. JSAI SIG-KBSA002- 2, 7–12 (2000) (in Japanese)

    Google Scholar 

  5. Nakada, T., Ho, T.B., Kunifuji, S.: Finding Potential Human Communities From Personal Homepages. In: Proceedings of the IASTED International Conference ACI 2002, pp. 191–196 (2002)

    Google Scholar 

  6. Salton, G.: Automatic Text Processing. Addison-Wesley Publishing Company, Reading (1989)

    Google Scholar 

  7. Spiliopoulou, M., Faulstich, L.C., Winkler, K.: A Data Miner analyzing the Navigational Behavior of Web. In: Proceedings of the Workshop on Machine Learning in User Modeling of the ACAI 1999 (1999)

    Google Scholar 

  8. Sumi, Y., Mase, K.: Supporting Awareness of Shared Interests and Experiences in Community. In: Proceedings of the International Workshop on Awareness and the WWW, held at the ACM CSCW 2000 Conference (2000)

    Google Scholar 

Download references

Author information

Authors and Affiliations

  1. Japan Advanced Institute of Science and Technology, Tatsunokuchi, Ishikawa, 923-1292, Japan

    Toyohisa Nakada & Susumu Kunifuji

Authors
  1. Toyohisa Nakada
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Susumu Kunifuji
    View author publications

    You can also search for this author in PubMed Google Scholar

Editor information

Editors and Affiliations

  1. FG Knowledge Engineering, FB Informatik, Technical University Darmstadt, Hochschulstr. 10, 64289, Darmstadt

    Gunter Grieser

  2. Meme Media Laboratory, Hokkaido University, N13 W8, 0608628, Sapporo, Japan

    Yuzuru Tanaka

  3. Graduate School of Informatics, Kyoto University Yoshida Honmachi, Sakyo-ku, 606-850, Kyoto, Japan

    Akihiro Yamamoto

Rights and permissions

Reprints and permissions

Copyright information

© 2003 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Nakada, T., Kunifuji, S. (2003). Subgroup Discovery among Personal Homepages. In: Grieser, G., Tanaka, Y., Yamamoto, A. (eds) Discovery Science. DS 2003. Lecture Notes in Computer Science(), vol 2843. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-39644-4_37

Download citation

  • DOI: https://doi.org/10.1007/978-3-540-39644-4_37

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-20293-6

  • Online ISBN: 978-3-540-39644-4

  • eBook Packages: Springer Book Archive

Publish with us

Policies and ethics

Search

Navigation