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Posted to commits@datasketches.apache.org by le...@apache.org on 2020/01/24 01:58:59 UTC

[incubator-datasketches-website] 11/12: update docs

This is an automated email from the ASF dual-hosted git repository.

leerho pushed a commit to branch master
in repository https://gitbox.apache.org/repos/asf/incubator-datasketches-website.git

commit 223fea83d2e8df1f318e76ff0325b3059c3687a4
Author: Lee Rhodes <le...@users.noreply.github.com>
AuthorDate: Thu Jan 23 17:57:46 2020 -0800

    update docs
---
 docs/Architecture.md        | 2 +-
 docs/HLL/Hll_vs_CS_Hllpp.md | 2 +-
 docs/Research.md            | 4 ++--
 3 files changed, 4 insertions(+), 4 deletions(-)

diff --git a/docs/Architecture.md b/docs/Architecture.md
index 53e382e..e68bf80 100644
--- a/docs/Architecture.md
+++ b/docs/Architecture.md
@@ -132,7 +132,7 @@ them available to the Postgres database users.
 
 ## Web Site
 
-### incubator-datasketches-website (was DataSketches.github.io) 
+### incubator-datasketches-website
 This is the DataSketches web site source, and is constantly being updated with new material 
 and to be current with the GitHub master.
 This site is not versioned.
diff --git a/docs/HLL/Hll_vs_CS_Hllpp.md b/docs/HLL/Hll_vs_CS_Hllpp.md
index e06b0f2..8418288 100644
--- a/docs/HLL/Hll_vs_CS_Hllpp.md
+++ b/docs/HLL/Hll_vs_CS_Hllpp.md
@@ -226,7 +226,7 @@ Depending on the chosen configuration, the *HllSketch* can be from one to almost
 ****
 
 * [1] [DataSketches HllSketch GitHub](https://github.com/apache/incubator-datasketches-java/tree/master/src/main/java/org/apache/datasketches/hll)
-* [2] [DataSketches HllSketch JavaDocs](https://datasketches.github.io/api/core/snapshot/apidocs/index.html)
+* [2] [DataSketches HllSketch JavaDocs](https://datasketches.apache.org/api/java/snapshot/apidocs/index.html)
 * [3] [HyperLogLogPlus GitHub](https://github.com/addthis/stream-lib/blob/master/src/main/java/com/clearspring/analytics/stream/cardinality/HyperLogLogPlus.java)
 * [4] [Google: HyperLogLog in Practice: Algorithmic Engineering of a State of The Art Cardinality Estimation Algorithm](https://static.googleusercontent.com/media/research.google.com/en//pubs/archive/40671.pdf)
 * [5] The Root-Mean-Square of the Relative Error (RMS-RE) is sensitive to bias of the mean if there is any. However, if the bias is zero RMS-RE will produce the same results as the theoretical Relative Standard Error (RSE) of the stochastic process.
diff --git a/docs/Research.md b/docs/Research.md
index 6146fed..0f61cb6 100644
--- a/docs/Research.md
+++ b/docs/Research.md
@@ -114,7 +114,7 @@ Amit Chakrabarti, Graham Cormode, and Andrew McGregor. A near-optimal algorithm
 Michael B. Cohen, Sam Elder, Cameron Musco, Christopher Musco, and Madalina Persu. Dimensionality reduction for k-means clustering and low rank approximation. In *ACM STOC Proceedings '15*, pages 163–172, 2015.
 
 [DLRT16]
-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. [Talk Slides](https://github.com/DataSketches/DataSketches.github.io/blob/master/docs/pdf/icdt-talk.pdf).
+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. [Talk Slides](https://github.com/apache/incubator-datasketches-website/blob/master/docs/pdf/icdt-talk.pdf).
 
 [FFGM07]
 Philippe Flajolet, E ́ric Fusy, Olivier Gandouet, and Fre ́de ́ric Meunier. Hyperloglog: the analysis of a near-optimal cardinality estimation algorithm. In *DMTCS Conference on Analysis of Algorithms*, pages 137–156, 2007.
@@ -146,7 +146,7 @@ Andrew McGregor. Graph stream algorithms: a survey. *ACM SIGMOD Record*, 43(1):9
 Michael Mitzenmacher, Thomas Steinke, and Justin Thaler. Hierarchical heavy hitters with the space saving algorithm. In *SIAM ALENEX Proceedings '12*, pages 160–174, 2012.
 
 [RLS+ 15]
-Lee Rhodes, Kevin Lang, Alexander Saydakov, Justin Thaler, Edo Liberty, and Jon Malkin. DataSketches: A Java software library for streaming data algorithms. Apache License, Version 2.0, 2015. <https://datasketches.github.io>.
+Lee Rhodes, Kevin Lang, Alexander Saydakov, Justin Thaler, Edo Liberty, and Jon Malkin. DataSketches: A Java software library for streaming data algorithms. Apache License, Version 2.0, 2015. <https://datasketches.apahce.org>.
 
 [Tha07]
 Justin Thaler. REU project website: A near-optimal algorithm for computing the entropy of a stream, 2007. <https://reu.dimacs.rutgers.edu/~jthaler/>.


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