Stream Aggregation Through Order Sampling-Reference-Cited by-同舟云学术

Stream Aggregation Through Order Sampling

Published:2017-11-06 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 2017 ACM on Conference on Information and Knowledge Management
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Author:

Duffield Nick¹,Xu Yunhong¹,Xia Liangzhen¹,Ahmed Nesreen K.²,Yu Minlan³

Affiliation:

1. Texas A&M University, College Station, TX, USA

2. Intel Labs, Santa Clara, CA, USA

3. Yale University, New Haven, CT, USA

Funder

National Science Foundation

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3132847.3133042

Reference40 articles.

1. Nesreen K. Ahmed Nick G. Duffield Jennifer Neville and Ramana Rao Kompella. 2014. Graph Sample and Hold: A Framework for Big-Graph Analytics. In ACM SIGKDD. 10.1145/2623330.2623757 Nesreen K. Ahmed Nick G. Duffield Jennifer Neville and Ramana Rao Kompella. 2014. Graph Sample and Hold: A Framework for Big-Graph Analytics. In ACM SIGKDD. 10.1145/2623330.2623757

2. On sampling from massive graph streams

3. The Space Complexity of Approximating the Frequency Moments

4. Alexey Andreyev. 2014. Introducing data center fabric the next-generation Facebook data center network. (2014). https://code.facebook.com/posts/360346274145943/ introducing-data-center-fabric-the-next-generation-facebook-data-center-network/. Alexey Andreyev. 2014. Introducing data center fabric the next-generation Facebook data center network. (2014). https://code.facebook.com/posts/360346274145943/ introducing-data-center-fabric-the-next-generation-facebook-data-center-network/.

5. Zero-one frequency laws

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