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Data streaming 2.0

Published:01 April 2010Publication History
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Abstract

In today's real-time Web, data streaming applications no longer have the luxury of making multiple passes over a recorded data set.

References

  1. Zhang, J. A survey on streaming algorithms for massive graphs. Managing and Mining Graph Data, Aggarwal, C.C. and Wang, H. (eds.), Springer, New York, 2010.Google ScholarGoogle Scholar
  2. Aggarwal, C.C. (Ed.) Data Streams: Models and Algorithms. Springer, New York, 2007. Google ScholarGoogle ScholarDigital LibraryDigital Library
  3. Mathioudakis, M., Koudas, N., and Marbach, P. Early online identification of attention gathering items in social media. Proceedings of the Third ACM International Conference on Web Search and Data Mining, New York, Feb. 2010. Google ScholarGoogle ScholarDigital LibraryDigital Library
  4. Cormode, G. and Hadjieleftheriou, M. Finding the frequent items in streams of data. Comm. of the ACM 52, 10, October 2009. Google ScholarGoogle ScholarDigital LibraryDigital Library

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  1. Data streaming 2.0

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          cover image Communications of the ACM
          Communications of the ACM  Volume 53, Issue 4
          April 2010
          131 pages
          ISSN:0001-0782
          EISSN:1557-7317
          DOI:10.1145/1721654
          Issue’s Table of Contents

          Copyright © 2010 ACM

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          New York, NY, United States

          Publication History

          • Published: 1 April 2010

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