SECTION: Features
Scaling biodiversity monitoring for the data age
Technological advances have made it possible to collect massive amounts of biodiversity data. How can analysis efforts keep up?
By Sara Beery, June 2021
Technological advances have made it possible to collect massive amounts of biodiversity data. How can analysis efforts keep up?
By Sara Beery, June 2021
Surajit Chaudhuri, Distinguished Scientist and head of the Extreme Computing Group (XCG) at Microsoft Research, Redmond provides valuable insights for revisiting data analytics in the context of big data.
By Aditya Parameswaran, 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
Many interesting research questions can be explored by studying processes running over networks.
By B. Aditya Prakash, September 2012
On algorithms for parallel machine learning, and why they need to be more efficient.
By John Langford, September 2012
By Jerry Emerick, June 2002
By Kevin Henry, March 2001
By Todd M. Manion, March 2001
By Ramakanth Subrahmanya Devarakonda, March 2001
By Dongwon Lee, Yousub Hwang, March 2001
By José H. Canós, June 2000