William S. Cleveland

21 papers A* 2A 1Journal 13Unranked 5
YearRankTypeTitle / Venue / Authors
2022 J jnl
Scalable k-d trees for distributed data.
CoRR
Aritra Chakravorty, William S. Cleveland, Patrick J. Wolfe
2021 J jnl
Statistical scalability and approximate inference in distributed computing environments.
CoRR
Aritra Chakravorty, William S. Cleveland, Patrick J. Wolfe
2017 J jnl
Multifractal and Gaussian fractional sum-difference models for Internet traffic.
Perform. Evaluation
David E. Anderson, William S. Cleveland, Bowei Xi
2014 J jnl
Data science: An action plan for expanding the technical areas of the field of statistics.
Stat. Anal. Data Min.
William S. Cleveland
2014 J jnl
Divide and recombine (D&R): Data science for large complex data.
Stat. Anal. Data Min.
William S. Cleveland, Ryan Hafen
2013 J jnl
Automated Box-Cox Transformations for Improved Visual Encoding.
IEEE Trans. Vis. Comput. Graph.
Ross Maciejewski, Avin Pattath, Sungahn Ko, Ryan Hafen, William S. Cleveland, David S. Ebert
2013 — conf
Trelliscope: A system for detailed visualization in the deep analysis of large complex data.
LDAV
Ryan Hafen, Luke J. Gosink, Jason E. McDermott, Karin Rodland, Kerstin Kleese van Dam, William S. Cleveland
2011 J jnl
Forecasting Hotspots - A Predictive Analytics Approach.
IEEE Trans. Vis. Comput. Graph.
Ross Maciejewski, Ryan Hafen, Stephen Rudolph, Stephen G. Larew, Michael A. Mitchell, William S. Cleveland, David S. Ebert
2011 J jnl
Trellis display for modeling data from designed experiments.
Stat. Anal. Data Min.
Montserrat Fuentes, Bowei Xi, William S. Cleveland
2010 J jnl
A Visual Analytics Approach to Understanding Spatiotemporal Hotspots.
IEEE Trans. Vis. Comput. Graph.
Ross Maciejewski, Stephen Rudolph, Ryan Hafen, Ahmad M. Abusalah, Mohamed Yakout, Mourad Ouzzani, William S. Cleveland, Shaun J. Grannis, David S. Ebert
2009 J jnl
Generating Synthetic Syndromic-Surveillance Data for Evaluating Visual-Analytics Techniques.
IEEE Computer Graphics and Applications
Ross Maciejewski, Ryan Hafen, Stephen Rudolph, George Tebbetts, William S. Cleveland, Shaun J. Grannis, David S. Ebert
2009 J jnl
Syndromic surveillance: STL for modeling, visualizing, and monitoring disease counts.
BMC Medical Informatics Decis. Mak.
Ryan P. Hafen, David E. Anderson, William S. Cleveland, Ross Maciejewski, David S. Ebert, Ahmad M. Abusalah, Mohamed Yakout, Mourad Ouzzani, Shaun J. Grannis
2009 A conf
Visualization Databases for the Analysis of Large Complex Datasets.
AISTATS
Saptarshi Guha, Paul Kidwell, Ryan Hafen, William S. Cleveland
2008 — conf
Understanding syndromic hotspots - a visual analytics approach.
IEEE VAST
Ross Maciejewski, Stephen Rudolph, Ryan Hafen, Ahmad M. Abusalah, Mohamed Yakout, Mourad Ouzzani, William S. Cleveland, Shaun J. Grannis, Michael Wade, David S. Ebert
2008 J jnl
Visualizing Incomplete and Partially Ranked Data.
IEEE Trans. Vis. Comput. Graph.
Paul Kidwell, Guy Lebanon, William S. Cleveland
2007 — conf
LAHVA: Linked Animal-Human Health Visual Analytics.
IEEE VAST
Ross Maciejewski, Benjamin Tyner, Yun Jang, Cheng Zheng, Rimma V. Nehme, David S. Ebert, William S. Cleveland, Mourad Ouzzani, Shaun J. Grannis, Lawrence T. Glickman
2004 A* conf
Stochastic Models for Generating Synthetic HTTP Source Traffic.
INFOCOM
Jin Cao, William S. Cleveland, Yuan Gao, Kevin Jeffay, F. Donelson Smith, Michele C. Weigle
2002 — conf
Internet Traffic: Visualization, Discovery, and Very Large Displays.
INFOVIS
William S. Cleveland
2001 — conf
On the nonstationarity of Internet traffic.
SIGMETRICS/Performance
Jin Cao, William S. Cleveland, Dong Lin, Don X. Sun
2000 A* conf
IP packet generation: statistical models for TCP start times based on connection-rate superposition.
SIGMETRICS
William S. Cleveland, Dong Lin, Don X. Sun
1986 J jnl
An Experiment in Graphical Perception.
Int. J. Man Mach. Stud.
William S. Cleveland, Robert McGill