Graham Wills: Publications

Publication Association Graph[1] G. J. Wills, “Method and system for preserving a graphics file,” 2013.

[2] G. J. Wills, L. Wilkinson, and D. J. Rope, “Automatic Selection of Different Visualizations for the Organization of Multivariate Data,” Inf. Vis., vol. 9, pp. 47–69, Mar. 2012.

[3] G. J. Wills, “2008 Movies,” Significance, vol. October 20, pp. 36–37, 2012.

[4] G. Wills, “Visualization toolkit software,” Wiley Interdisciplinary Reviews: Computational Statistics, vol. 4, no. 5, pp. 474–481, 2012.

[5] G. Wills, “Transformations,” in Visualizing Time, pp. 169–180, Springer, 2012.

[6] Y. J. Chu, S. Han, F. Li, J.-Y. Shyr, D. Spisic, G. J. Wills, and J. Xu, “Computing and applying order statistics for data preparation,” 2012.

[7] S. D. Gibson, D. J. Rope, and G. J. Wills, “Determining Alternative Visualizations for Data Based on an Initial Data Visualization,” 2012.

[8] G. J. Wills, “Charts v. Tables: A Rematch,” Journal of Computational and Graphical Statistics, vol. 20, pp. 28–35, Jan. 2011.

[9] G. Wills, Visualizing Time. Statistics and Computing, Secaucus: Springer, 2011.

[10] G. Wills and L. Wilkinson, “AutoVis: automatic visualization,” Inf. Vis., vol. 9, pp. 47–69, Mar. 2010.

[11] G. Wills, “Visualizing Hierarchical Data,” Encyclopedia of Database Systems, pp. 3425–3432, 2009.

[12] G. Wills, “Visualizing Network Data,” in Encyclopedia of Database Systems (M. T. Ozsu and L. Liu, eds.), 2009.

[13] L. Wilkinson and G. Wills, “Scagnostics Distributions,” Journal of Computational and Graphical Statis- tics, vol. 17, pp. 473–491, June 2008.

[14] G. Wills, “Linked Data Views,” in Handbook of Data Visualization (Springer Handbooks of Computa- tional Statistics) (A. U. Chun-houh Chen Wolfgang H ̈ardle, ed.), ch. II.9, pp. 216–241, Santa Clara: Springer, Mar. 2008.

[15] D. G. Boyer, J. O. Coplien, R. E. Grinter, R. L. Hackbarth, J. D. Herbsleb, L. J. Jagadeesan, P. A. Mataga, and G. J. Wills, “Apparatus and method for use in collaboration services,” 2007.

[16] G. Wills, “Networks,” in Graphics of Large Datasets: Visualizing a Million (Statistics and Computing) (A. Unwin, M. Theus, and H. Hofmann, eds.), ch. 8, pp. 157–176, Secaucus: Springer, 2006.

[17] R. L. Hackbarth, J. D. Herbsleb, and G. J. Wills, “Apparatus and method for use in a data/conference call system for automatically collecting participant information and providing all participants with that information for use in collaboration services,” 2006.

[18] G. J. Wills, “Integrating data mining and exploratory statistical graphics,” 2005.

[19] D. Atkins, D. Boyer, M. Handel, J. Herbsleb, A. Mockus, and G. Wills, “Achieving speed in globally distributed project work,” Human Comput. Interaction Consortium, Winterpark, CO, 2002.

[20] G. J. Wills, “Introduction to Graphical Modelling,” Technometrics, vol. 44, no. 2, p. 197, 2002.

[21] G. J. Wills and D. Keim, “Data visualization for domain exploration: interactive statistical graphics,” in Handbook of Data Mining and Knowledge Discovery, pp. 226–232, New York: Oxford University Press, Inc., 2002.

[22] G. J. Wills, “Visualization,” in Handbook of data mining and knowledge discovery (W. Kl ̈osgen and J. M. Zytkow, eds.), pp. 707–714, New York: Oxford University Press, 2002.

[23] R. O. Colbert, D. S. Compton, R. L. Hackbarth, J. D. Herbsleb, L. A. Hoadley, and G. J. Wills, “Advanced services: Changing how we communicate,” Bell Labs Technical Journal, vol. 6, no. 1, pp. 211– 228, 2001.

[24] D. Atkins, M. Handel, J. Herbsleb, A. Mockus, D. Perry, and G. Wills, “Global Software Development: The Bell Labs Collaboratory,” in Software Engineering, International Conference on, pp. 0681b—- 0681b, IEEE Computer Society, 2001.

[25] R. Hackbarth, J. Herbsleb, and G. Wills, “Apparatus and method for use in a data/conference call system to provide collaboration services,” 2001.

[26] R. Hackbarth, J. Herbsleb, and G. Wills, “Apparatus and method for use in portal service for a team utilizing collaboration services,” 2001.

[27] G. J. Wills, “Method and apparatus for generating and displaying views of hierarchically clustered data,” 2001.

[28] G. J. Wills, “Natural Selection: Interactive Subset Creation,” Journal of Computational and Graphical Statistics, vol. 9, pp. 544–557, Sept. 2000.

[29] G. Wills, “A good, simple axis,” Statistical Computing & Statistical Graphics Newsletter, vol. 11, no. 1, pp. 20–25, 2000.

[30] M. Handel, G. Wills, and A. Arbor, “TeamPortal: Providing Team Awareness On the Web,” Proceedings of the International Workshop on Awareness and the WWW. ACM CSCW, vol. 21, no. 3, pp. 3–12, 2000.

[31] M. Ardis, K. Cox, S. Hibino, L. Hong, A. Mockus, and G. Wills, “Building Information Visualizations: A Commonality Analysis,” in Information Visualization 2000, 2000.

[32] A. Unwin and G. Wills, “Exploring time series graphically,” Statistical Computing and Graphics Newslet- ter, vol. 2, pp. 13–15, 1999.

[33] G. J. Wills and D. Keim, “Information Visualization ’99 Proceedings Editors,” Information Visualization ’99 Proceedings, 1999.

[34] G. J. Wills, L. Technologies, B. Laboratories, E. W. Road, and N. Il, “An Interactive View for Hier- archical Clustering,” In Proceedings of the IEEE Symposium on Information Visualization, pp. 26–32, 1998.

[35] G. Wills and J. Dill, “Information Visualization ‘98 Proceedings Editors,” Information Visualization ‘98 Proceedings, 1998.

[36] D. L. Atkins, T. J. Ball, S. G. Eick, and G. J. Wills, “Apparatus for visualizing program slices,” 1998.

[37] S. G. Eick and G. J. Wills, “Graphical display of relationships,” 1998.

[38] K. C. Cox, S. G. Eick, G. J. Wills, and R. J. Brachman, “Visual data mining: Recognizing telephone calling fraud,” Data Mining and Knowledge Discovery, vol. 4, no. 1, pp. 225–231, 1997.

[39] G. J. Wills, “Visual exploration of large structured data sets,” New Techniques and Technologies for Statistics II: Proceedings of the Second Bonn Seminar, p. 237, 1997.

[40] G. Grinstein, S. Laskowski, G. Wills, and B. Rogowitz, “Information exploration shootout project and benchmark data sets (panel): evaluating how visualization does in analyzing real-world data analysis problems,” in Proceedings of the 8th conference on Visualization’97, pp. 511–513, IEEE Computer Society Press, 1997.

[41] S. G. Eick and G. J. Wills, “Using symbols whose appearance varies to show characteristics of a result of a query,” 1997.

[42] G. J. Wills, “Selection: 524,288 ways to say “this is interesting”,” in Information Visualization’96, Proceedings IEEE Symposium on, pp. 54–60, IEEE, 1996.

[43] S. G. Eick, P. J. Lucas, and G. J. Wills, “Object-oriented functionality class library for use in graphics programming,” 1996.

[44] S. G. Eick and G. J. Wills, “High Interaction Graphics,” Eur. J. Oper. Res., pp. 445–459, 1995.

[45] R. Becker, S. Eick, and A. Wilks, “Visualizing Network Data,” IEEE Trans. Vis. Comput. Graph., vol. 1, pp. 16–28, 1995.

[46] G. J. Wills, “Visual Exploration Of Large Structured Datasets,” in New Techniques and Trends in Statistics, pp. 237–246, IOS Press, 1995.

[47] S. G. Eick, E. E. Sumner Jr, and G. J. Wills, “Visualizing reference databases,” in Database Issues for Data Visualization, pp. 186–193, Springer, 1994.

[48] S. G. Eick and G. J. Wills, “Navigating Large Networks with Hierarchies,” in In Visualization ’93 Conference Proceedings, pp. 204–210, 1993.

[49] G. J. Wills, “Who Did What, When, And Where? Analyzing A Statistical Bibliographic Database,” in ISI Conference Proceedings, (Florence, Italy), pp. 411–412, 1993.

[50] G. Wills, “Novel Graphical Methods for Exploration of Spatial Data with Time Information,” The Statistician, p. 381, 1992.

[51] G. J. Wills, Spatial Data: Exploration and Modelling via Distance-Based and Interactived Graphics Methods. PhD thesis, Trinity College Dublin, Dublin, Ireland, 1992.

[52] A. Unwin and G. J. Wills, “Diamond Fast: Interactive Graphics for Time Series,” The American Statistician, vol. 45, no. 4, p. 340, 1991.

[53] J. Haslett, R. Bradley, P. Craig, A. Unwin, and G. Wills, “Dynamic graphics for exploring spatial data with application to locating global and local anomalies,” American Statistician, vol. 45, no. 3, pp. 234–242, 1991.

[54] G. Wills, A. Unwin, and J. Haslett, “Spatial interactive graphics applied to Irish socioeconomic data,” in American Statistical Association 1991 Proceedings Of The Section On Statistical Graphics, 1991.

[55] J. Haslett, R. Bradley, M. Dillon, and G. Wills, “Interactive Graphics for the Exploratory Analysis of Spatial Data-Applications to Data of Different Support,” Department of Statistics, Trinity College, Dublin, 1990.

[56] J. Haslett, G. Wills, and A. Unwin, “SPIDER – an interactive statistical tool for the analysis of spatially distributed data,” International Journal of Geographical Information Systems, vol. 4, no. 3, pp. 285–296, 1990.

[57] A. Unwin, J. Haslett, and G. J. Wills, “REGARD – Graphical Analysis Of Regional Data,” in American Statistical Association 1990 Proceedings, 1990.

[58] P. Craig, J. Haslett, A. Unwin, and G. Wills, “Moving statistics – an extension of ”brushing” for spatial data,” in Proceedings of the 21st Symposium on the Interface (Berk and Malone, eds.), pp. 170–174, 1989.

[59] A. R. Unwin and G. Wills, “Eyeballing time series,” in Proceedings of the 1988 ASA Statistical Com- puting Section, pp. 263–268, American Statistical Association, 1988.

[60
] G. J. Wills, “Linked Data Views: Starting with Scatterplots Generalizing the Implementation,” Statistical Computing \& Statistical Graphics Newsletter, pp. 1–5, 1987.

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