About me
I have moved to IBM Almaden Research Center now. I used to be a graduate student in the Computer Science Department at University of Maryland, College Park, working under the guidance of Dr. Amol Deshpande and Dr. Lise Getoor. My thesis was on Probabilistic Databases. During my earlier years at Maryland I worked with applications of Undirected Graphical Models to problems in Statistical Relational Learning.
Research
- PhD Thesis
- Representing and Querying Uncertain Data
Prithviraj Sen
pdf - Journal Publications
- PrDB: Managing and Exploiting Rich Correlations in Probabilistic Databases
Prithviraj Sen, Amol Deshpande and Lise Getoor
To appear in Special issue on Uncertain and Probabilistic Databases
VLDB Journal, 2009 - Cost-Sensitive Learning with Conditional Markov Networks
Prithviraj Sen and Lise Getoor
Special Issue on Utility Based Data Mining, DMKD 2008
pdf ps - Book Chapters and Magazine Articles
- Collective Classification for Text Classification
Galileo Mark Namata, Prithviraj Sen, Mustafa Bilgic and Lise Getoor
Text Mining: Classification, Clustering and Applications
Ashok Srivastava and Mehran Sahami (eds.), 2009 - Graphical Models for Uncertain Data
Amol Deshpande, Lise Getoor and Prithviraj Sen
Managing and Mining Uncertain Data, C. Aggarwal (ed.)
Springer 2009
pdf - Collective Classification in Network Data
Prithviraj Sen, Galileo Mark Namata, Mustafa Bilgic, Lise Getoor, Brian Gallagher and Tina Eliassi-Rad
AI Magazine 2008
here - Conference Publications
- Read-Once Functions and Query Evaluation in Probabilistic Databases
Prithviraj Sen, Amol Deshpande and Lise Getoor
To appear in VLDB 2010
pdf - Bisimulation-based Approximate Lifted Inference
Prithviraj Sen, Amol Deshpande and Lise Getoor
To appear in UAI 2009
pdf - Exploiting Shared Correlations in Probabilistic Databases
Prithviraj Sen, Amol Deshpande and Lise Getoor
VLDB 2008
pdf - Representing and Querying Correlated Tuples in Probabilistic Databases
Prithviraj Sen and Amol Deshpande
ICDE 2007
pdf - Cost-Sensitive Learning with Conditional Markov Networks
Prithviraj Sen and Lise Getoor
ICML 2006
pdf ps - Workshop Publications
- Representing Tuple and Attribute Uncertainty in Probabilistic Databases
Prithviraj Sen, Amol Deshpande and Lise Getoor
ICDM Workshop on Data Mining of Uncertain Data (DUNE2007)
pdf - Empirical Comparison of Approximate Inference Algorithms for Networked Data
Prithviraj Sen and Lise Getoor
ICML workshop on Open Problems in Statistical Relational Learning (SRL2006)
pdf ps - Cost-Sensitive Learning with Conditional Markov Networks
Prithviraj Sen and Lise Getoor
SDM Workshop on Link Analysis, Counterterrorism and Security 2006
pdf ps - Event classification and relationship labeling in affiliation networks
Bin Zhao, Prithviraj Sen and Lise Getoor
ICML workshop on Statistical Network Analysis 2006
pdf - Technical Reports
- Collective Classification in Network Data
Prithviraj Sen, Galileo Mark Namata, Mustafa Bilgic, Lise Getoor, Brian Gallagher and Tina Eliassi-Rad
Technical Report CS-TR-4905, 2008
pdf ps - Link-Based Classification
Prithviraj Sen and Lise Getoor
Technical Report CS-TR-4858, 2007
pdf - Representing and Querying Correlated Tuples in Probabilistic Databases
Prithviraj Sen and Amol Deshpande
Technical Report CS-TR-4820, 2006
pdf
Education
| PhD (Comp. Sc.) | University of Maryland, College Park | 2009 |
| MS (Comp. Sc.) | University of Maryland, College Park | 2006 | BTech (Comp. Sc.) | Indian Institute of Technology, Bombay | 2003 |
Academics
- Courses taken
- High Performance Computing (Fall '03)
- Approaches to Representing and Recognizing Objects (Fall '03)
- Statistical and Neural Pattern Recognition (Fall '03)
- Introduction to Computational Linguistics (Spring '04)
- Advanced Topics in Database Systems (Spring '04)
- How to do Research (Fall '03 & Spring '04)
- Scientific Computing I (Fall '04)
- Image Segmentation (Fall '04)
- Scientific Computing II (Spring '05)
- An Introduction to Statistical Relational Learning (Spring '05)
- Data Management in New Emerging Environments (Fall '05)
- Courses served as TA for
- Computer Science I (Fall '03)
- Introduction to Machine Learning (Spring '04)
- Introduction to Low-Level Programming Concepts (Fall '05)
Contact
Room 3228, A.V. Williams Bldg.,Department of Computer Science and Engineering,
University of Maryland,
College Park, MD 20742.
Tel : 301 405 2714
Email: sen AT cs umd edu