Skip to main content
SpringerLink
Log in

Clustering on Streams

  • Reference work entry
  • First Online:
Encyclopedia of Database Systems

  • 39 Accesses

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 4,499.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Hardcover Book
USD 6,499.99
Price excludes VAT (USA)
  • Durable hardcover 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

Recommended Reading

  1. Muthukrishnan S. Data streams: algorithms and applications. Found Trend Theor Comput Sci. 2005;1(2):117–236.

    Article  MathSciNet  MATH  Google Scholar 

  2. Dean J, Ghemaway S. MapReduce: simplified data processing on large clusters. In: Proceedings of the 6th USENIX Symposium on Operating System Design and Implementation; 2004. p. 137–50.

    Google Scholar 

  3. Borodin A, El-Yaniv R. Online computation and competitive analysis. New York: Cambridge University Press; 1998.

    MATH  Google Scholar 

  4. Charikar M, Chekuri C, Feder T, Motwani R. Incremental clustering and dynamic information retrieval. SIAM J Comput. 2004;33(6):1417–40.

    Article  MathSciNet  MATH  Google Scholar 

  5. Bradley PS, Fayyad UM, Reina C. Scaling clustering algorithms to large databases. In: Proceedings of the 4th International Conference on Knowledge Discovery and Data Mining; 1998. p. 9–15.

    Google Scholar 

  6. Farnstrom F, Lewis J, Elkan C. Scalability for clustering algorithms revisited. SIGKDD Explor. 2000;2(1):51–7.

    Article  Google Scholar 

  7. Zhang T, Ramakrishnan R, Livny M. BIRCH: A new data clustering algorithm and its applications. Data Min Knowl Discov. 1997;1(2):141–82.

    Article  Google Scholar 

  8. Guha S, Meyerson A, Mishra N, Motwani R, O’Callaghan L. Clustering data streams: theory and practice. IEEE Trans Knowl Data Eng. 2003;15(3):515–28.

    Article  Google Scholar 

  9. Guha S, Mishra N, Motwani R, O’Callaghan L. Clustering data streams. In: Proceedings of the 41st Annual Symposium on Foundations of Computer Science; 2000. p. 359.

    Google Scholar 

  10. Charikar M, O’Callaghan L, Panigrahy R. Better streaming algorithms for clustering problems. In: Proceedings of the 35th Annual ACM Symposium on Theory of Computing; 2003. p. 30–9.

    Google Scholar 

  11. Domingos P, Hulten G. Mining high-speed data streams. In: Proceedings of the 6th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining; 2000. p. 71–80.

    Google Scholar 

  12. Datar M, Gionis A, Indyk P, Motwani R. Maintaining stream statistics over sliding windows: (extended abstract). In: Proceedings of the 13th Annual ACM - SIAM Symposium on Discrete Algorithms; 2002. p. 635–44.

    Article  MathSciNet  MATH  Google Scholar 

  13. Babcock B, Datar M, Motwani R, O’Callaghan L. Maintaining variance and k-medians over data stream windows. In: Proceedings of the 22nd ACM SIGACT-SIGMOD-SIGART Symposium on Principles of Database Systems; 2003. p. 234–43.

    Google Scholar 

  14. Aggarwal CC, Han J, Wang J, Yu PS. A framework for clustering evolving data streams. In: Proceedings of the 29th International Conference on Very Large Data Bases; 2003. p. 81–92.

    Chapter  Google Scholar 

  15. Aggarwal CC, Han J, Wang J, Yu PS. A framework for projected clustering of high dimensional data streams. In: Proceedings of the 30th International Conference on Very Large Data Bases; 2004.p. 852–63.

    Chapter  Google Scholar 

Download references

Author information

Authors and Affiliations

  1. University of Utah, Salt Lake City, UT, USA

    Suresh Venkatasubramanian

Authors
  1. Suresh Venkatasubramanian
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Suresh Venkatasubramanian .

Editor information

Editors and Affiliations

  1. Georgia Institute of Technology College of Computing, Atlanta, GA, USA

    Ling Liu

  2. University of Waterloo School of Computer Science, Waterloo, ON, Canada

    M. Tamer Özsu

Section Editor information

  1. AT&T Labs - Research, AT&T, Bedminster, NJ, USA

    Divesh Srivastava

Rights and permissions

Reprints and permissions

Copyright information

© 2018 Springer Science+Business Media, LLC, part of Springer Nature

About this entry

Check for updates. Verify currency and authenticity via CrossMark

Cite this entry

Venkatasubramanian, S. (2018). Clustering on Streams. In: Liu, L., Özsu, M.T. (eds) Encyclopedia of Database Systems. Springer, New York, NY. https://doi.org/10.1007/978-1-4614-8265-9_68

Download citation

Publish with us

Policies and ethics

Search

Navigation