Khalid El-Arini
Ph.D. Student, Computer Science Department
School of Computer Science
Carnegie Mellon University

Khalid
I am a third year Ph.D. student working in the field of machine learning.  Specifically, I am interested in the ways that the power of computer science and statistics can be harnessed to extract meaningful information from large, real-world datasets.  I am also interested in looking at problems in the social sciences and medicine that would benefit from large-scale data mining.

My advisor is Tom Mitchell, and I am currently working on new algorithms for human brain image analysis.  More information on our group can be found here.  I am also a member of the Auton Lab.


Publications

2006

Khalid El-Arini, Andrew W. Moore and Ting Liu.  Autonomous Visualization.  In Proc. European Conference on Principles and Practice of Knowledge Discovery in Databases (ECML/PKDD 2006), September 2006, Berlin, Germany. [pdf]
Full version published as Carnegie Mellon Technical Report CMU-CS-06-137 [pdf]


2005

Khalid El-Arini and Kevin Killourhy.  Bayesian Detection of Router Configuration Anomalies.  In Proc. ACM SIGCOMM Workshop on Mining Network Data (MineNet-05), August 2005, Philadelphia, Pennsylvania.
[pdf] [longer version available here] [slides]


Talks
  • A humble introductory tutorial on Dirichlet process mixture models (November 2005). [ppt] [pdf]

Links
  • Andrew Moore's statistical data mining tutorials.


 		Office: Wean Hall 7110
Phone: (412) 268-7670
Email: kbe+ [at] cs.cmu.edu
Mailing Address:
Computer Science Department
Carnegie Mellon University
5000 Forbes Avenue
Pittsburgh, PA  15213



Education:

M.S. Computer Science
Carnegie Mellon University (2006)

B.S. Computer Science
B.S. Electrical and Computer Engineering
Carnegie Mellon University (2004)