Seminar by Pabitra Mitra
Machine Learning for Data Mining: Concepts and Challenges
Pabitra Mitra, Senior Research Fellow
Machine Intelligence Unit
Indian Statistical Institute, Kolkata
Date: Thursday, November 14, 2002
Time: 04:00 PM
Venue: CS-101
Abstract
Availibility of large databases in several domains like finance, scientific experiments, genomics and the web, as well as the growing interest of corporations to discover the knowledge embedded in these databases, have generated a wide interest in the subject of data mining.Among the prevailing perspectives of Data Mining, the Machine Learning approach is perhaps the most popular one. The talk provides an overview of the machine learning approach to data mining, discussing its various steps, tasks and tools involved. The research challenges in applying machine learning algorithms to data mining problems are mentioned, with emphasis on the `scaling up' problem. Several strategies for scaling up machine learning algorithms are discussed in details.
About the Speaker
Pabitra Mitra obtained his B. Tech in Electrical Engineering from Indian Insitute of Technology, Kharagpur in 1996. He worked as a scientist with the Center for Artificial Intelligence and Robotics, Bangalore, India. Currently he is a Senior Research Fellow of the Machine Intelligence Unit, Indian Statistical Institute, Calcutta. His research interests are in the area of data mining and knowledge discovery, pattern recognition, learning theory, soft computing.