Readings

The InfoVis lab group is reading and discussing a series of papers concerning visual analytics of big data. Feel free to join us during our regularly scheduled lab meetings.

Spring 2015:

February 3: Xin
Danyel Fisher, Rob DeLine, Mary Czerwinski, and Steven Drucker, Interactions with Big Data Analytics, in ACM Interactions, ACM, May 2012
http://research.microsoft.com/pubs/163593/inteactions_big_data.pdf

February 10: Maoyuan
Zhicheng Liu, Biye Jiang, and Jeffrey Heer, imMens: Real-time Visual Querying of Big Data, Computer Graphics Forum (Proc. EuroVis), 32(3), 2013
http://vis.stanford.edu/papers/immens

February 17: Lauren
Tuukka Ruotsalo, Jaakko Peltonen, Manuel Eugster, Dorota Głowacka, Ksenia Konyushkova, Kumaripaba Athukorala, Ilkka Kosunen, Aki Reijonen, Petri Myllymäki, Giulio Jacucci, and Samuel Kaski. Directing exploratory search with interactive intent modeling. In Proceedings of the 22nd ACM international conference on Conference on information & knowledge management (CIKM '13). ACM, New York, NY, USA, 1759-1764, 2013
http://research.ics.aalto.fi/mi/online-papers/Ruotsalo13cikm.pdf

Feb 24: Jessica
Danyel Fisher, Steven M. Drucker, and A. Christian König, Exploratory Visualization Involving Incremental, Approximate Database Queries and Uncertainty, in IEEE Computer Graphics and Applications, IEEE, July 2012
http://research.microsoft.com/apps/pubs/default.aspx?id=190904
Related papers:
Danyel Fisher, Igor Popov, Steven M. Drucker, and mc schraefel, Trust Me, I'm Partially Right: Incremental Visualization Lets Analysts Explore Large Datasets Faster, in Proceedings of the 2012 Conference on Human Factors in Computing Systems (CHI 2012), ACM Conference on Human Factors in Computing Systems, 5 May 2012
Danyel Fisher, Incremental, Approximate Database Queries and Uncertainty for Exploratory Visualization, in IEEE Symposium on Large Data Analysis and Visualization, IEEE, 23 October 2011

Mar 3: Caleb
Bachthaler and Weiskopf, Continuous Scatterplots, IEEE TVCG 14(6), 2008.
http://www.vis.uni-stuttgart.de/~bachthsn/publications/VIS08/VIS08_Final...
Website: http://www.vis.uni-stuttgart.de/~bachthsn/scatterplot/index.html
Related paper: http://www.vis.uni-stuttgart.de/~weiskopf/publications/eurovis09_contsca...

Apr 7: Peng
Glimmer MDS on GPU
http://www.cs.ubc.ca/labs/imager/tr/2008/glimmer/glimmer.pdf
http://www.cs.ubc.ca/~sfingram/glimmer/

Apr 14: Ji & Maoyuan
Heer, Hellerstein, Kandel, Predictive Interaction for Data Transformation, CIDR'15

Apr 21: Joshi
Shneiderman, Extreme Visualization: Squeezing a Billion Records into a Million Pixels
http://dl.acm.org/citation.cfm?id=1376618

Apr 28: Nathan
M Tang, F Li , "Scalable histograms on large probabilistic data"
http://dl.acm.org/citation.cfm?id=2623640

Fall 2015:

September 29: Caleb
Zaharia, Chowdhury, Das, Dave, Ma, McCauley, Franklin, Shenker, and Stoica: Resilient Distributed Datasets: A Fault-Tolerant Abstraction for
In-Memory Cluster Computing
https://www.usenix.org/system/files/conference/nsdi12/nsdi12-final138.pdf

October 6: Ji
Wei, Jishang, Zeqian Shen, Neel Sundaresan, and Kwan Liu Ma. 2012. “Visual Cluster Exploration of Web Clickstream Data.” IEEE Conference on Visual Analytics Science and Technology 2012, VAST 2012 - Proceedings: 3–12. doi:10.1109/VAST.2012.6400494.
http://vis.cs.ucdavis.edu/~jishang/papers/VAST12-Jishang.pdf

October 13: Michelle
Hellerstein, Avnur, Chou, Hidber, Olston, Raman, Roth, and Haas: Interactive Data Analysis: The Control Project
http://control.cs.berkeley.edu/ieeecomputer.pdf

November 3: Ji
Jishang Wei; Zeqian Shen; Sundaresan, N.; Kwan-Liu Ma, "Visual cluster exploration of web clickstream data," in Visual Analytics Science and Technology (VAST), 2012 IEEE Conference on , vol., no., pp.3-12, 14-19 Oct. 2012 doi: 10.1109/VAST.2012.6400494
http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6400494&isnumber...

Potential future readings:

Dremel
http://static.googleusercontent.com/media/research.google.com/en/us/pubs...
http://research.google.com/pubs/pub36632.html

Hadley Wickham, Bin-summarize-Smooth: A framework for visualizing large data

Cheng and Mueller, The Data Context Map: Fusing Data and Attributes into a Unified Display
http://www3.cs.stonybrook.edu/~mueller/papers/dataContectMap.pdf