Communications of the ACM
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From BLOG@CACM
What It's Like to Win the Turing Award
Michael Stonebraker is an adjunct professor in the Massachusetts Institute of Technology's Computer Science and Artificial Intelligence Laboratory, and recipient...
From BLOG@CACM
Exascale Computing and Big Data: Time To Reunite
It is past time to reunite the big data, cloud, and high-performance computing communities. Each can each learn much from the other.
From BLOG@CACM
Lessons from Winnie the Pooh: Sustainable Cyberinfrastructure
The longitudinal value of research data often accrues to disciplines other than those where it was created. We need a new model that judiciously balances investment...
From BLOG@CACM
Are Data Miners Ready to Hang p the Hard Hat and Put on a Lab Coat?
We will find out this week at the annual ACM SIGKDD on Knowledge Discovery and Data Mining conference in Chicago.
From BLOG@CACM
What Does 'Big Data' Mean (Part 4)?
The "big variety" use case is examined, in this fourth post in a series on big data.
From BLOG@CACM
What Does 'Big Data' Mean? (Part 3)
The "big velocity" use case is examined in this third post in a series on big data.
From BLOG@CACM
Exciting 'Big Data' Medical Applications
A quick look at two exciting medical applications of big data analysis.
From BLOG@CACM
HPC, Big Data and the Peloponnesian War
We need a concord and strategic research investment plan that recognizes the shared importance of HPC and big data. Both warrant investments in basic research,...
From BLOG@CACM
What Does 'Big Data' Mean? (Part 2)
In this second post on big data, I continue with a discussion of the use case of big volume-big analytics.
From BLOG@CACM
What Does 'Big Data' Mean?
It is interesting to note that a substantial subset of the computer science community has redefined their research agenda to fit under the marketing banner of "Big...
From BLOG@CACM
Data Mining Product Reviews
When it comes to big data, one of the greatest things we can do as computer scientists creating products is to distill all the information down to what is important...
From BLOG@CACM
Data Mining the Web Via Crawling
This post focuses on the data collection via crawling the web, by covering some of the challenges around collecting and discovering new content via a web crawler...
From BLOG@CACM
My Scientific Big Data Are Lonely
Although there are daunting technical challenges posed by big data in science and engineering, the social and economic challenges are just as difficult, though...
From BLOG@CACM
Possible Hadoop Trajectories
Hadoop has spread rapidly in the last few years as a platform for parallel computation in Java, but we believe a lot of improvement will be required for serious...
From BLOG@CACM
Research Data Sustainability and Access
The dramatic growth of research data, the collaborative nature of international research, expectations for economic returns, and disciplinary differences all make...
From BLOG@CACM
New SQL: An Alternative to NoSQL and Old SQL For New OLTP Apps
New SQL should be considered as an alternative to NoSQL or Old SQL for New OLTP applications. If New OLTP is as big a market as I foresee, we will see many more...
From BLOG@CACM
Research Directions For Machine Learning and Algorithms
An in-depth discussion of near-term research directions for machine learning and algorithms.
From BLOG@CACM
Information Privacy: Changing Norms and Expectations
That picture of you at a family reunion, squinting into the sun, can rarely be delimited by a physical location once it is placed on the web. Instead, information...
From BLOG@CACM