News:
2007 NSF Next Generation Data Mining Symposium
Thought-Highlights:
Economics of privacy-preserving data mining (ICDE'07 panel)
Data Mining in Vehicular Sensor Networks: Technical and Marketing Challenges (KDD'07 talk)
Thoughts on Human Emotions, Communication Breakthroughs, and the Next Generation of Data Mining (NGDM'07 talk)
Books



Data Mining: Next Generation Challenges and Future Directions
H. Kargupta, A. Joshi, K. Sivakumar, and Y. Yesha
MIT/AAAI Press (to be released in early 2004)

Adv ances in Distributed and Parallel Knowledge Discovery
Edited by Hillol Kargupta and Philip Chan

Teaching


Fall 2009
Special Lectures on Data Mining
CMSC 691, Foundations of Data Mining

Spring 2008
CMSC 341, Data Structures

Fall 2007
CMSC 491M/678, Machine Learning

Spring 2007
CMSC 461, Database Management Systems
CMSC 341, Data Structures

Fall 2006
CMSC 461, Database Management Systems

Spring 2006
CMSC 641, Algorithms

Fall 2005
CMSC 691D, Distributed Data Mining

Spring 2005
CMSC 691D/491D Foundations of Data Mining
Design & Analysis of Algorithms

Fall 2004
CMSC 641 Design & Analysis of Algorithms

Spring 2004
CMSC 462 Databases

Fall 2003
CMSC 471 Introduction to Artificial Intelligence

Spring 2003
CMSC 691D/491D Introduction to Data Mining

Spring, 2002
CMSC 641 Design & Analysis of Algorithms
CMSC 691D Advanced Topics of Data Mining

Fall, 2001
CMSC 691D/491D Introduction to Data Mining

Spring, 2001
CMSC 441 Design & Analysis of Algorithms

Fall, 2000
CPTS 440 Introduction to Artificial Intelligence

Spring, 2000
CPTS 317 Automata and Formal Languages

Fall, 1999
CPTS 440 Introduction to Artificial Intelligence

Spring, 1999
CPTS 549 Genetic Algorithms

Fall, 1999 Fall, 1998
CPTS 250 Data Structures

CPTS 580, Data mining techniques (Taught along with Prof. Zoran Obradovic and Prof. Pat Flynn)

Spring, 1998
CPTS 516, Algorithmics (Taught along with Prof. Zoran Obradovic)

Fall, 1998
CPTS 250 Data Structures

Website Designed by: James G. Cornell