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commit f09fb01990dbf7ec14a4ccc46eda5e8f5478e248
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output/docs/Community/Research.html | 8 +++++---
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@@ -592,10 +592,12 @@ and come with formal guarantees on the accuracy of the
answers returned.</p>
<p><strong>[CCM10]</strong> Amit Chakrabarti, Graham Cormode, and Andrew
McGregor. A near-optimal algorithm for estimating the entropy of a stream. In
<em>ACM Trans. Algorithms</em>, 6(3):51:1–51:21, 2010.</p>
-<p><strong>[CDKLT09]</strong> Edith Cohen, Nick Duffield, Haim Kaplan, Carsten
Lund, Mikkel Thorup. Stream sampling for variance-optimal estimation of subset
sums. In <strong>Proceedings of the 20th ACM-SIAM Symposium on Discrete
Algorithms</strong> SODA 2009.</p>
+<p><strong>[CDKLT09]</strong> Edith Cohen, Nick Duffield, Haim Kaplan, Carsten
Lund, Mikkel Thorup. Stream sampling for variance-optimal estimation of subset
sums. In <em>Proceedings of the 20th ACM-SIAM Symposium on Discrete
Algorithms</em> SODA 2009.</p>
<p><strong>[CEM+15]</strong> Michael B. Cohen, Sam Elder, Cameron Musco,
Christopher Musco, and Madalina Persu. Dimensionality reduction for k-means
clustering and low rank approximation. In <em>ACM STOC Proceedings ‘15</em>,
pages 163–172, 2015.</p>
+<p><strong>[CKLTV+20]</strong> Graham Cormode, Zohar Karnin, Edo Liberty,
Justin Thaler, Pavel Vesely. Relative Error Streaming Quantiles, In
<em>arXiv.org</em>, 2020.</p>
+
<p><strong>[DLRT16]</strong> Anirban Dasgupta, Kevin J. Lang, Lee Rhodes, and
Justin Thaler. A framework for estimating stream expression cardinalities. In
*EDBT/ICDT Proceedings ‘16 *, pages 6:1–6:17, 2016. <a
href="https://arxiv.org/pdf/1510.01455.pdf";>Paper</a>. <a
href="https://github.com/apache/incubator-datasketches-website/blob/master/docs/pdf/icdt-talk.pdf";>Talk
Slides</a>.</p>
<p><strong>[FFGM07]</strong> Philippe Flajolet, E ́ric Fusy, Olivier Gandouet,
and Fre ́de ́ric Meunier. Hyperloglog: the analysis of a near-optimal
cardinality estimation algorithm. In <em>DMTCS Conference on Analysis of
Algorithms</em>, pages 137–156, 2007.</p>
@@ -608,7 +610,7 @@ and come with formal guarantees on the accuracy of the
answers returned.</p>
<p><strong>[GT02]</strong> Phillip B. Gibbons and Srikanta Tirthapura.
Distributed streams algorithms for sliding windows. In <em>ACM SPAA Proceedings
‘02</em>, pages 63–72, New York, NY, USA, 2002.</p>
-<p><strong>[ILLKB19]</strong> Nikita Ivkin, Edo Liberty, Kevin Lang, Zohar
Karnin, Vladimir Braverman. Streaming Quantiles Algorithms with Small Space and
Update Time. In <em>arXiv</em>, 2019</p>
+<p><strong>[ILLKB19]</strong> Nikita Ivkin, Edo Liberty, Kevin Lang, Zohar
Karnin, Vladimir Braverman. Streaming Quantiles Algorithms with Small Space and
Update Time. In <em>arXiv.org</em>, 2019</p>
<p><strong>[K98]</strong> Donald E. Knuth. The Art of Computer Programming,
3rd Ed. 1998.</p>
@@ -624,7 +626,7 @@ and come with formal guarantees on the accuracy of the
answers returned.</p>
<p><strong>[MST12]</strong> Michael Mitzenmacher, Thomas Steinke, and Justin
Thaler. Hierarchical heavy hitters with the space saving algorithm. In <em>SIAM
ALENEX Proceedings ‘12</em>, pages 160–174, 2012.</p>
-<p><strong>[RLS+15]</strong> Lee Rhodes, Kevin Lang, Alexander Saydakov,
Justin Thaler, Edo Liberty, and Jon Malkin. <strong>Apache
DataSketches</strong>: A Java software library for streaming data algorithms.
Apache License, Version 2.0, 2015. <a
href="https://datasketches.apache.org";>https://datasketches.apache.org</a>.</p>
+<p><strong>[RLS+15]</strong> Lee Rhodes, Kevin Lang, Alexander Saydakov,
Justin Thaler, Edo Liberty, and Jon Malkin. <a
href="https://datasketches.apache.org";>Apache DataSketches</a>: A Java software
library for streaming data algorithms. Apache License, Version 2.0, 2015. <a
href="https://datasketches.apache.org";>https://datasketches.apache.org</a>.</p>
<p><strong>[Tha07]</strong> Justin Thaler. REU project website: A near-optimal
algorithm for computing the entropy of a stream, 2007. <a
href="https://people.cs.georgetown.edu/jthaler";>https://people.cs.georgetown.edu/jthaler</a>.</p>
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