Mustafa Bilgic PhD candidate in Computer Science, University of Maryland at College Park. M.S. in Computer Science, University of Maryland at College Park, 2006 B.S. in Computer Sciences, University of Texas at Austin, 2004

Research Interests

My main research interests are in the broad areas of machine learning and data mining. Specifically, I'm interested in feature and label acquisition for classification. More detailed information is available in my vita (in pdf).

Publications

• Refereed Journals

  Hyunmo Kang, Lise Getoor, Ben Shneiderman, Mustafa Bilgic, and Louis Licamele. Interactive Entity Resolution in Relational Data: A Visual Analytic Tool and Its Evaluation. To appear in IEEE Transactions on Visualization and Computer Graphics (TVCG).

   

• Magazine Articles

  Prithviraj Sen, Galileo Mark Namata, Mustafa Bilgic, Lise Getoor, Brian Gallagher, and Tina Eliassi-Rad. Collective Classification in Network Data. To appear in AI Magazine.

   

• Conference Proceedings

  Mustafa Bilgic, Lise Getoor. Effective Label Acquisition for Collective Classification. ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2008.

  Mustafa Bilgic, Lise Getoor. VOILA: Efficient Feature-value Acquisition for Classification. Twenty-Second Conference on Artificial Intelligence (AAAI), 2007.

  Mustafa Bilgic, Louis Licamele, Lise Getoor, and Ben Shneiderman. D-Dupe: An Interactive Tool for Entity Resolution in Social Networks. In Visual Analytics Science and Technology (VAST), 2006.

  Mustafa Bilgic, Louis Licamele, Lise Getoor, and Ben Shneiderman. D-Dupe: An Interactive Tool for Entity Resolution in Social Networks. In International Symposium on Graph Drawing (GD), 2005.

   

• Workshop Proceedings

  Mustafa Bilgic, Galileo Mark Namata, and Lise Getoor. Combining Collective Classification and Link Prediction. In IEEE ICDM Workshop on Mining Graphs and Complex Structures (MGCS), 2007.

  Louis Licamele, Mustafa Bilgic, Lise Getoor, and Nick Roussopoulos. Capital and Benefit in Social Networks. In ACM SIGKDD Workshop on Link Analysis and Group Detection (LinkKDD), 2005.

  Mustafa Bilgic and Raymond J Mooney. Explaining Recommendations: Satisfaction vs Promotion. In Proceedings of Beyond Personalization: A Workshop on the Next Stage of Recommender Systems Research at the International Conference on Intelligent User Interfaces, 2005.

   

• Technical Reports

  Prithviraj Sen, Galileo Mark Namata, Mustafa Bilgic, Lise Getoor, Brian Gallagher, and Tina Eliassi-Rad. Collective Classification in Network Data. Technical Report, University of Maryland, College Park, 2008.

Courses

• Machine Learning (Lise Getoor)
• Statistical Relational Learning (Lise Getoor)
• Link Mining (Lise Getoor)
• Natural Language Processing (Philip Resnik)
• Pattern Recognition (Rama Chellappa)
• Knowledge Discovery and Data Mining (Joseph JaJa)
• Database Management Systems (Nick Roussopoulos)
• Information Visualization (Ben Shneiderman)
• Image Segmentation (David Jacobs)
• Approximation Algorithms (Samir Khuller)
• Computers and Games (Clyde Kruskal)
• How to do Reseach (Clyde Kruskal)

Contact

3228 AV Williams Building
University of Maryland
College Park, MD 20742

mbilgic AT cs.umd.edu

Links

Lise Getoor

LINQS Research Group

Last updated on June 27, 2008.