报告题目：Granular Mining, Uncertainty Modeling and Data Science: Concepts, Applications and Challenges

报告人： Indian Statistical Institute， Sankar Kumar Pal教授

报告时间：3月31日（周三）下午14:30点

报告地点：线上会议（ZOOM）Meeting ID: 955 9295 2602；Passcode: 514132

报告摘要：The talk has three parts.

First it describes the –

· Components of granular computing and features of granulation

·       Significance of fuzzy sets and rough sets in granular computing

· Relevance of defining the generalized rough sets and entropy by embedding fuzziness into rough sets; providing a stronger paradigm for uncertainty modeling

The second part deals with various mining applications such as in –

· Video tracking in ambiguous situations including occlusion

·       Bioinformatics (e.g., selection of miRNAs for cancer detection)

The applications demonstrate the roles of different kinds of granules, rough lower approximation, and various information measures. Granules considered range from crisp, fuzzy, 1-d, 2-d and 3-d to regular shape and arbitrary shape. While the concept of rough lower approximation in temporal domain provides an initial estimate of object model in video tracking, it enables in determining the probability of definite and doubtful regions in cancer classification. Concept of lower and upper approximation is also used in designing a rough filter for predicting the occluded objects.

The third part concludes mentioning the challenging issues and the future directions of research including the significance of z-numbers and granular deep learning. Here merits of G-RCNN is highlighted for object detection, as an example. Finally, evolution of “data science” over the decades starting from “pattern recognition” is stated with some concerns.

Several examples and results would be provided to explain the aforesaid concepts.

报告人简介：

Sankar K. Pal (https://www.isical.ac.in/~sankar)  is a Distinguished Scientist and former Director of Indian Statistical Institute (ISI). He founded the Machine Intelligence Unit and the Center for Soft Computing Research: A National Facility in ISI, Calcutta. He received a Ph.D. in Radio Physics and Electronics from Indian Statistical Institute/ University of Calcutta in 1979, and another Ph.D. in Electrical Engineering along with DIC from Imperial College, University of London in 1982. He joined his Institute (ISI) in 1975 as a CSIR Senior Research Fellow where he became a Full Professor in 1987, Distinguished Scientist in 1998 and the Director for the term 2005-2010. Currently, he is a National Science Chair, Govt. of India, and ISI Emeritus Professor working at ISI, Calcutta. He is also a Scholar-in-Residence of IIT Jodhpur.

He is a co-author of twenty one books and more than four hundred research publications in the areas of Pattern Recognition and Machine Learning, Image Processing, Data Mining, Soft Computing, Neural Nets, Genetic Algorithms, Fuzzy Sets, Rough Sets, Web Intelligence, Social Networks, Cognitive Machine and Bioinformatics. He has made fundamental contributions to machine intelligence research by developing various modern approaches. He pioneered the development of fuzzy set theory, and neuro-fuzzy and rough-fuzzy computing, in general, and their applications in pattern recognition, image processing, machine learning, knowledge-based systems, and data science and analytics, in particular.