Contrast Pattern Mining and its Applications

Speaker:	Professor Ramamohanarao (Rao) KOTAGIRI
		Department of Computer Science and Software Engineering
		University of Melbourne

Title:		"Contrast Pattern Mining and its Applications"

Date;		Monday, 19 January 2009

Time:		4pm - 5pm

Venue:		Lecture Theater F
		(Leung Yat Sing Lecture Theater, near lifts 25/26)
		HKUST

Abstract:

The ability to distinguish, differentiate and contrast between different
datasets is a key objective in data mining. Such an ability can assist
domain experts to understand their data, and can help in building
classification models. This presentation will introduce the principal
techniques for contrasting datasets. It will also focus on some important
real world application areas that illustrate how mining contrasts is
advantageous.


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Biography:

Professor Ramamohanarao (Rao) Kotagiri received his degrees BE at Andhra
University, ME at the Indian Institute of Science, Bangalore and PhD at
Monash University. He was awarded the Alexander von Humboldt Fellowship in
1983. He has been at the University Melbourne since 1980 and was appointed
a professor in computer science in 1989. Rao held several senior positions
including Head of Computer Science and Software Engineering, Head of the
School of Electrical Engineering and Computer Science at the University of
Melbourne, Deputy Director of Centre for Ultra Broadband Information
Networks, Co-Director of the Key Centre for Knowledge-Based Systems, and
Research Director for the Cooperative Research Centre for Intelligent
Decision Systems. He served as a member of the Australian Research Council
Information Technology Panel. He served on the Prime Minister's Science,
Engineering and Innovation Council working party on Data for Scientists.
He also served on the Editorial Boards of the Computer Journal. At present
he is on the Editorial Boards for Universal Computer Science, the Journal
of Knowledge and Information Systems, IEEE TKDE (Transactions on Knowledge
and Data Engineering), Journal of Statistical Analysis and Data Mining and
VLDB (Very Large Data Bases) Journal. He served as a program committee
member of several International conferences including SIGMOD, IEEE ICDM,
VLDB, ICLP and ICDE. He was the program Co-Chair for VLDB, PAKDD, DASFAA
and DOOD conferences. He is a steering committee member of IEEE ICDM,
PAKDD and DASFAA. Rao is a Fellow of the Institute of Engineers Australia,
Australian Academy Technological Sciences and Engineering and Australian
Academy of Science. Rao has research interests in the areas of Database
Systems, Logic Based Systems, Agent Oriented Systems, Information
Retrieval, Data Mining, Intrusion Detection and Machine Learning.