Basser Seminar Series
Toward Visual Knowledge Discovery and Analytics
Speaker: Dr. Srinivasan Parthasarathy
Computer Science and Engineering Department, Ohio State University (OSU)
Time: Wednesday 20 August 2008, 4:00-5:00pm
Location: The University of Sydney, School of IT Building, Lecture Theatre (Room 123), Level 1
Knowledge discovery and data mining is a process whose goal is to extract interpretable and actionable information from complex (potentially large) data. Visualization can play an important role in this exploratory process. Indeed, a number of important scientific discoveries have ultimately relied on visual confirmation from Galileo seeing the moons of Jupiter to Gerd Binnig and Heinrich Rohrer seeing atoms on a surface. Visualization can also play an important role in understanding the nature of a problem domain and subsequently the patterns governing the underlying solution space. In this talk I will talk about our vision on the roles visualization can play in the knowledge discovery process. Specifically we will examine the use of visualization:
- As a mechanism to facilitate exploration of complex datasets.
- As a means to validate and confirm results obtained from the discovery process.
- As an approach to understand and lend transparency to the discovery process.
In each case I will attempt to illustrate the roles in the context of specific end applications drawn from the domains of physics of materials, bioinformatics, social network analysis and clinical diagnosis of eye disease. No prior knowledge of data mining, knowledge discovery, visualization or any of these application domains will be assumed.
Dr. Srinivasan Parthasarathy received his PhD in Computer Science from the University of Rochester, New York, USA. He is currently an Associate Professor in the Computer Science and Engineering Department at the Ohio State University (OSU). Currently he is spending a delightful sabbatical year visiting the Database group at the National University of Singapore. His research interests are broadly in the areas of Data Mining, Databases, Bioinformatics and High Performance Computing.
He is a recipient of an NSF CAREER award in 2003, a DOE Early Career Award in 2004, an Ameritech Faculty fellowship in 2001 and an IBM Faculty Award in 2007. His papers have received several best paper awards from leading conferences in the field, including ones at SIAM international conference on data mining (SDM), IEEE international conference on data mining (ICDM), the Very Large Databases Conference (VLDB) and most recently at ACM Knowledge Discovery and Data Mining (SIGKDD).
He is a member of the ACM and the IEEE and has served on the program committees of leading conferences in the fields of data mining, databases, and high performance computing. He currently serves on the editorial boards of several journals including the IEEE Intelligent Systems and the Data Mining and Knowledge Discovery: An International Journals. He served as one of the program chairs of SIAM Data Mining in 2007 and is currently serving as one of the general chairs for the 2009 edition.