skip to main content
10.1145/1458082.1458275acmconferencesArticle/Chapter ViewAbstractPublication PagescikmConference Proceedingsconference-collections
poster

Winnowing-based text clustering

Published:26 October 2008Publication History

ABSTRACT

We present an approach to document clustering based on winnowing fingerprints that achieved good values of effectiveness with considerable save in memory space and computation time.

References

  1. A. Z. Broder, S. C. Glassman, M. S. Manasse, and G. Zweig. Syntactic clustering of the web. In WWW'97, pages 1157--1166, 1997. Google ScholarGoogle ScholarDigital LibraryDigital Library
  2. A. K. Jain, M. N. Murty, and P. J. Flynn. Data clustering: a review. ACM Computing Surveys, 31(3):264--323, 1999. Google ScholarGoogle ScholarDigital LibraryDigital Library
  3. P. Pantel and D. Lin. Document clustering with committees. In SIGIR'02, pages 199--206,2002. Google ScholarGoogle ScholarDigital LibraryDigital Library
  4. D. Puppin and F. Silvestri. The query-vector document model. In CIKM'06, pages 880--881, 2006. Google ScholarGoogle ScholarDigital LibraryDigital Library
  5. M. Rosell, V. Kann, and J.-E. Litton. Comparing comparisons: Document clustering evaluation using two manual classications. In ICON'04, 2004.Google ScholarGoogle Scholar
  6. S. Schleimer, D. S. Wilkerson, and A. Aiken. Winnowing: local algorithms for document fingerprinting. In SIGMOD'03, pages 76--85, 2003. Google ScholarGoogle ScholarDigital LibraryDigital Library
  7. F. Giannotti and C. Gozzi. Characterizing web user accesses: A transactional approach to web log clustering in ITCC '02, pages 312--317, 2002.Google ScholarGoogle Scholar

Index Terms

  1. Winnowing-based text clustering

      Recommendations

      Comments

      Login options

      Check if you have access through your login credentials or your institution to get full access on this article.

      Sign in
      • Published in

        cover image ACM Conferences
        CIKM '08: Proceedings of the 17th ACM conference on Information and knowledge management
        October 2008
        1562 pages
        ISBN:9781595939913
        DOI:10.1145/1458082

        Copyright © 2008 ACM

        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]

        Publisher

        Association for Computing Machinery

        New York, NY, United States

        Publication History

        • Published: 26 October 2008

        Permissions

        Request permissions about this article.

        Request Permissions

        Check for updates

        Qualifiers

        • poster

        Acceptance Rates

        Overall Acceptance Rate1,861of8,427submissions,22%

        Upcoming Conference

      PDF Format

      View or Download as a PDF file.

      PDF

      eReader

      View online with eReader.

      eReader