DEPARTMENT: Hello World
Sorry kids, Iron Man's superpowers aren't unique
By Lara Zupan, Marinka Zitnik, November 2015
By Lara Zupan, Marinka Zitnik, November 2015
By Marinka Zitnik, July 2015
By Marinka Zitnik, October 2014
Infrastructure clouds offer tremendous potential for scientific users, however, they face numerous challenges that must be addressed before they are widely adopted by scientific communities.
By Paul Marshall, Henry Tufo, Kate Keahey, March 2013
A new system allows researchers to discover, reuse, cite, and experiment upon any computational result that is published with a Verifiable Result Identifier.
By Matan Gavish, David Donoho, Amos Onn, March 2013
The rate at which electronic information is generated in the world is exploding. In this article we explore techniques known as sketching and streaming for processing massive data both quickly and memory-efficiently.
By Jelani Nelson, September 2012
New algorithms for estimating parameters of distributions over big domains need significantly fewer samples.
By Ronitt Rubinfeld, September 2012
Three computer scientists from UC Irvine address the question "What's next for big data?" by summarizing the current state of the big data platform space and then describing ASTERIX, their next-generation big data management system.
By Vinayak R. Borkar, Michael J. Carey, Chen Li, September 2012
New user interfaces can transform how we work with big data, and raise exciting research problems that span human-computer interaction, machine learning, and distributed systems.
By Jeffrey Heer, Sean Kandel, September 2012
An invitation to the digital science of life.
By Cliburn Chan, September 2012
Technical solutions can provide a skeleton key to unlocking the Internet.
By Dan Boneh, December 2011
By Mohammad Mahdian, December 2011
By Robert J. Simmons, December 2010
How sure are you that your friends are who they say they are? In real life, unless you are the target of some form of espionage, you can usually be fairly certain that you know whom your friends are because you have a history of shared interests and experiences. Likewise, most people can tell, just by using common sense, if someone is trying to sell them on a product, idea, or candidate. When we interact with people face-to-face, we reevaluate continuously whether something just seems off based on body language and other social and cultural cues.
By Roya Feizy, Ian Wakeman, Dan Chalmers, December 2009
By Justin Solomon, June 2009
By Anna Ritchie, June 2009
By Aris Gkoulalas-Divanis, Vassilios S. Verykios, June 2009
This article describes a technique to visualize query results, representing purchase orders placed on Amazon.com, along a traditional 2-D scatter plot and a space-filling spiral. We integrate 3-D objects that vary their spatial placement, color, and texture properties into a visualization algorithm. This algorithm represents important aspects of a purchase order based on experimental results from human vision, computer graphics, and psychology. The resulting visual abstractions are used by viewers to rapidly and effectively explore and analyze the underlying purchase orders data.
By Amit Prakash Sawant, Christopher G. Healey, Dongfeng Chen, Rada Chirkova, March 2009
By Joonghoon Lee, December 2008
By Cara Cocking, December 2008
By Justin Solomon, June 2008
By Craig Pfeifer, June 2008
By Ching Kang Cheng, Xiaoshan Pan, October 2005
By Michael Hulme, Michael Locasto, September 2003
By Michael Nelte, Elton Saul, September 2000
By Robert Korfhage, July 2000
By Stuart Patterson, June 2000
By José H. Canós, June 2000
By Kim Moorman, November 1999
By John B. Bedunah, November 1999
By Kevin Fu, November 1998
By Saveen Reddy, December 1994