An Experiment in Graphical Perception. - William S. Cleveland; Robert McGill (Int. J. Man Mach. Stud., 1986)

IP packet generation: statistical models for TCP start times based on connection-rate superposition. - William S. Cleveland; Dong Lin; Don X. Sun (SIGMETRICS, 2000)

On the nonstationarity of Internet traffic. - Jin Cao; William S. Cleveland; Dong Lin; Don X. Sun (SIGMETRICS/Performance, 2001)

Internet Traffic: Visualization, Discovery, and Very Large Displays. - William S. Cleveland (INFOVIS, 2002)

Stochastic Models for Generating Synthetic HTTP Source Traffic. - Jin Cao; William S. Cleveland; Yuan Gao; Kevin Jeffay; F. Donelson Smith; Michele C. Weigle (INFOCOM, 2004)

LAHVA: Linked Animal-Human Health Visual Analytics. - 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 (IEEE VAST, 2007)

Understanding syndromic hotspots - a visual analytics approach. - Ross Maciejewski; Stephen Rudolph; Ryan Hafen; Ahmad M. Abusalah; Mohamed Yakout; Mourad Ouzzani; William S. Cleveland; Shaun J. Grannis; Michael Wade; David S. Ebert (IEEE VAST, 2008)

Visualizing Incomplete and Partially Ranked Data. - Paul Kidwell; Guy Lebanon; William S. Cleveland (IEEE Trans. Vis. Comput. Graph., 2008)

Generating Synthetic Syndromic-Surveillance Data for Evaluating Visual-Analytics Techniques. - Ross Maciejewski; Ryan Hafen; Stephen Rudolph; George Tebbetts; William S. Cleveland; Shaun J. Grannis; David S. Ebert (IEEE Computer Graphics and Applications, 2009)

Visualization Databases for the Analysis of Large Complex Datasets. - Saptarshi Guha; Paul Kidwell; Ryan Hafen; William S. Cleveland (AISTATS, 2009)

Syndromic surveillance: STL for modeling, visualizing, and monitoring disease counts. - Ryan P. Hafen; David E. Anderson; William S. Cleveland; Ross Maciejewski; David S. Ebert; Ahmad M. Abusalah; Mohamed Yakout; Mourad Ouzzani; Shaun J. Grannis (BMC Medical Informatics Decis. Mak., 2009)

A Visual Analytics Approach to Understanding Spatiotemporal Hotspots. - Ross Maciejewski; Stephen Rudolph; Ryan Hafen; Ahmad M. Abusalah; Mohamed Yakout; Mourad Ouzzani; William S. Cleveland; Shaun J. Grannis; David S. Ebert (IEEE Trans. Vis. Comput. Graph., 2010)

Trellis display for modeling data from designed experiments. - Montserrat Fuentes; Bowei Xi; William S. Cleveland (Stat. Anal. Data Min., 2011)

Forecasting Hotspots - A Predictive Analytics Approach. - Ross Maciejewski; Ryan Hafen; Stephen Rudolph; Stephen G. Larew; Michael A. Mitchell; William S. Cleveland; David S. Ebert (IEEE Trans. Vis. Comput. Graph., 2011)

Trelliscope: A system for detailed visualization in the deep analysis of large complex data. - Ryan Hafen; Luke J. Gosink; Jason E. McDermott; Karin Rodland; Kerstin Kleese van Dam; William S. Cleveland (LDAV, 2013)

Automated Box-Cox Transformations for Improved Visual Encoding. - Ross Maciejewski; Avin Pattath; Sungahn Ko; Ryan Hafen; William S. Cleveland; David S. Ebert (IEEE Trans. Vis. Comput. Graph., 2013)

Data science: An action plan for expanding the technical areas of the field of statistics. - William S. Cleveland (Stat. Anal. Data Min., 2014)

Divide and recombine (D&R): Data science for large complex data. - William S. Cleveland; Ryan Hafen (Stat. Anal. Data Min., 2014)

Multifractal and Gaussian fractional sum-difference models for Internet traffic. - David E. Anderson; William S. Cleveland; Bowei Xi (Perform. Evaluation, 2017)

Statistical scalability and approximate inference in distributed computing environments. - Aritra Chakravorty; William S. Cleveland; Patrick J. Wolfe (CoRR, 2021)

Scalable k-d trees for distributed data. - Aritra Chakravorty; William S. Cleveland; Patrick J. Wolfe (CoRR, 2022)