I graduated in August 2005
from Rensselaer Polytechnic Institute in the Computer Science Department. I have moved
to Amazon.com
I am interested in the fields of data mining and computational biology and work
with Prof. Mohammed Zaki.
As a result, I spend a lot of my time on campus at Amos Eaton
I worked earlier as a research assistant at the Bioinformatics Laboratory at the Wadsworth Center
I enjoy playing tennis, football(i.e. soccer), the guitar, and participate in activities of AID-RPI. I have recently
developed an interest in trivia. I have also recently
started learning jazz guitar (albeit not too seriously).
Publications:
ADMIT:Anomaly-based Data Mining for InTrusions at SIGKDD 2002, Edmonton, Canada.
Related work is included in my Master's Thesis
Improving Spatial Locality of Programs via Data
Mining : In Proceedings of SIGKDD 2003, Washington DC.
It is part of the PerfMiner project to make bulky programs and networks run faster and more efficiently with fewer problems.
SCHISM: A New Approach to Interesting Subspace
Mining : In Proceedings of ICDM 2004, Brighton, UK.
Exploring the similarities across high-dimensional
datasets : RPI CS Technical Report #05-05.
You can reach me at:
Karlton Sequeira
Computer Science Department
Rensselaer Polytechnic Institute
110, 8th St,
Troy, NY, 12180.
E-mail :seque k@rpi.edu