Space- and time-efficient deterministic algorithms for biased quantiles over data streams

Proceedings of the ACM SIGACT-SIGMOD-SIGART Symposium on Principles of Database Systems

Volumn , Issue , 2006, Pages 263-272

  Cormode, Graham ^a   Korn, Flip ^b   Muthukrishnan, S ^c   Srivastava, Divesh ^b  

^a LUCENT TECHNOLOGIES   (United States)

^b AT AND T LABS RESEARCH   (United States)

^c RUTGERS UNIVERSITY   (United States)

Author keywords

Biased quantiles; Data stream algorithms

Indexed keywords

APPROXIMATE QUANTILES; BIASED QUANTILES; DATA STREAM ALGORITHMS; DATA STREAMS;

ALGORITHMS; DATA HANDLING; DATA REDUCTION; USER INTERFACES;

DATA STRUCTURES;

EID: 33846219851     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/1142351.1142389     Document Type: Conference Paper

References (10)

1. B. Babcock, S. Babu, M. Datar, R. Motwani, and J. Widom. Models and issues in data stream systems. In Proceedings of ACM Principles of Database Systems, pages 1-16, 2002.
2. T. H. Cormen, C. E. Leiserson, and R. L. Rivest. Introduction to Algorithms. MIT Press, 1990.
3. G. Cormode, F. Korn, S. Muthukrishnan, and D. Srivastava. Effective computation of biased quantiles over data streams. In IEEE International Conference on Data Engineering, 2005.
4. M. Greenwald and S. Khanna. Space-efficient online computation of quantile summaries. In Proceedings of ACM SIGMOD International Conference on Management of Data, pages 58-66, 2001.
5. A. Gupta and F. Zane. Counting inversions in lists. In Proceedings of the 14th Annual ACM-SIAM Symposium on Discrete Algorithms, pages 253-254, 2003.
6. J. Hershberger, N. Shrivastava, S. Suri, and C. Toth. Adaptive spatial partitioning for multidimensional data streams. In ISAAC, 2004.
7. G. S. Manku, S. Rajagopalan, and B. G. Lindsay. Random sampling techniques for space efficient online computation of order statistics of large datasets. In Proceedings of ACM SIGMOD International Conference on Management of Data, volume 28(2) of SIGMOD Record, pages 251-262, 1999.
8. S. Muthukrishnan. Data streams: Algorithms and applications. In Proceedings of the 14th Annual ACM-SIAM Symposium on Discrete Algorithms, 2003.
9. N. Shrivastava, C. Buragohain, D. Agrawal, and S. Suri. Medians and beyond: New aggregation techniques for sensor networks. In ACM SenSys, 2004.
10. Y. Zhang, X. Lin, J. Xi, F. Korn, and W. Wang. Space-efficient relative error order sketch over data streams. In IEEE International Conference on Data Engineering, 2006.