Finding Subcube Heavy Hitters in Analytics Data Streams-Reference-Cited by-同舟云学术

Finding Subcube Heavy Hitters in Analytics Data Streams

Published:2018 Issue: Volume: Page:
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Container-title:Proceedings of the 2018 World Wide Web Conference on World Wide Web - WWW '18
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Author:

Kveton Branislav¹,Muthukrishnan S.²,Vu Hoa T.³,Xian Yikun²

Affiliation:

1. Adobe Research, San Jose, CA, USA

2. Rutgers University, New Brunswick, NJ, USA

3. University of Massachusetts, Amherst, Amherst, MA, USA

Publisher

ACM Press

Reference21 articles.

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3. Vladimir Braverman and Rafail Ostrovsky. 2010. Measuring independence of datasets. In STOC. ACM, 271--280.

4. Graham Cormode. 2008. Finding Frequent Items in Data Streams. http: //dmac.rutgers.edu/Workshops/WGUnifyingTheory/Slides/cormode.pdf. (2008). DIMACS Workshop.

5. Graham Cormode and S. Muthukrishnan. 2004. An Improved Data Stream Summary: The Count-Min Sketch and Its Applications. In LATIN (Lecture Notes in Computer Science), Vol. 2976. Springer, 29--38.

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