BECAT Seminar Series on Big Data
Where: ITE 336
When: Feb 10, 11am
Speaker: Dr. Rajasekaran, UCONN CSE
Title: Big Data: Challenges and Algorithms
Abstract:
We live in an era of big data. Voluminous datasets are generated and have to be processed in every area of science and engineering. Efficient techniques are needed to process these data. In particular, we need tools to extract useful information from massive data sets. Society at large can benefit immensely from advances in this arena. For example, information extracted from biological data can result in gene identification, diagnosis for diseases, drug design, etc. Market-data information can be used for custom-designed catalogues for customers, supermarket shelving, and so on. Weather prediction and protecting the environment from pollution are possible with the analysis of atmospheric data.
In this talk we present some challenges existing in processing big data in various disciplines. We also provide an overview of some basic techniques. In particular, we will summarize various data processing and reduction techniques.
For more information, contact: Karen Kuca at karen.kuca@uconn.edu