COLLOQUIUM OF THE COMPUTATIONAL MATERIALS SCIENCE CENTER – CARLOTTA DOMINICONE – MINING BIG AND COMPLEX DATA: CHALLENGES AND SOLUTIONS
COLLOQUIUM OF THE COMPUTATIONAL MATERIALS SCIENCE CENTER
AND THE DEPARTMENT OF COMPUTATIONAL AND DATA SCIENCES
(CSI 898-Sec 001)
Mining Big and Complex Data: Challenges and Solutions
Department of Computer Science
George Mason University
The need for mining massive and complex data has become paramount in areas like education, web mining, social network analysis, security, and a variety of scientific pursuits. However many traditional supervised and unsupervised learning algorithms break down when applied in big data scenarios: this is known as the “big data problem”. Among other concerns, big data presents serious scalability difficulties for these algorithms.
In this talk I will discuss the big data problem and solutions in the context of complex data I have worked on in recent years, namely, social networks, text, and educational data. I will also present a new method for distributed machine learning which directly tackles key problems posing challenges to successful and scalable mining of big data. Our method is scalable, general-purpose with regard to the machine learning algorithm, and easily adaptable to a variety of heterogeneous grid or cloud computing scenarios.
October 5, 2015 – 4:30 p.m.
Exploratory Hall, Room 3301
Refreshments will be served at 4:15 PM.
Find the schedule at http://www.cmasc.gmu.edu/seminars.htm