Office address:

4-192 EE/CS Building, 

200 Union Street SE

Minneapolis, MN 55455

 

Tel: (612) 626-7703

Email: mcelik (at) cs dot umn dot edu

 

 

 

Education     Publications     Research     Professional Activities     CV

 

I am a Ph.D. candidate at the Department of Computer Science, University of Minnesota. My research interests lie in the fields of location-based services, data mining, and databases. My doctoral dissertation has been conducted under the direction of Prof. Shashi Shekhar . My research work concentrates on spatial and spatio-temporal data mining. 

 
 

Education

Ph. D. Student  (2002-Present)

Department of Computer Science, University of Minnesota

Advisor: Prof. Shashi Shekhar

 

Ph.D. Student  (2001-2002)

Department of Electronic Engineering, Erciyes University, Turkey. 

 

M.S. (2001)

Department of Electronic Engineering, Erciyes University, Turkey

Thesis title: Internet-based Student Enrollment System

 

B.S. (1999)

Department of Control and Computer Engineering, Erciyes University, Turkey

 
Publications

Journals

  1. M. Celik, B. M. Kazar, S. Shekhar, D. Boley, D. J. Lilja, NORTHSTAR: A Parameter Estimation Method for the Spatial Auto-regression Model, to be submitted to a journal.

  2. M. Celik, S. Shekhar, J. Rogers, and J. Shine, Mining Mixed-drove Spatio-temporal Co-occurrence Patterns, submitted to the IEEE Trans. on Knowledge and Data Engineering, Second round review.

  3. S. Sagiroglu, K. Danisman, M. Celik, Neural Predictor for Temperature Estimation, Gazi University Journal of Science, vol. 15, no.1, 2002. 

Conference Proceedings

  1. M. Celik, J.M. Kang, S. Shekhar, Zonal Co-location Pattern Discovery with Dynamic Parameters, In Proc. of 7th IEEE Int’ l Conf. on Data Mining (ICDM), Omaha, Nebraska, 2007. (PDF)

  2. M. Celik, S. Shekhar, J. Rogers, J. Shine, and J. M. Kang, Mining At Most Top-K% Mixed-drove Spatio-temporal Co-occurrence Patterns: A Summary of Results, In Proc. of the Workshop on Spatio-Temporal Data Mining (In conjunction with IEEE ICDE 2007), Istanbul, Turkey, 2007.

  3. M. Celik, S. Shekhar, J. Rogers, J. Shine, and J. S. Yoo, Mining Mixed-drove Spatio-temporal Co-occurrence Patterns: A Summary of Results, In Proc. of 6th IEEE Int’ l Conf. on Data Mining (ICDM), Hong Kong, 2006. (PDF)

  4. M. Celik, S. Shekhar, J. Rogers, and J. Shine, Sustained Emerging Spatio-temporal Co-occurrence Pattern Mining: A Summary of Results, In Proc. of IEEE Int’ l Conf. on Tools on Artificial Intelligence (ICTAI) Washington, D.C., 2006. 

  5. V. Gandhi, M. Celik, and S. Shekhar, Parallelizing Multiscale and Multigranular Spatial Data Mining Algorithms, In Proc. of the Second Conf. on Partitioned Global Address Space Programming Models, Washington, D.C., 2006.

  6. M. Celik, B. M. Kazar, S. Shekhar, D. Boley, and D. J. Lilja, Spatial Dependency Modeling Using Spatial Auto-regression, In Proc. of the ISPRS/ICA Workshop on Geospatial Analysis and Modeling as part of Int’l Conference GICON, Vienna, Austria, 2006. (PDF)

  7. M. Celik, B. M. Kazar, S. Shekhar, and D. Boley, Parameter Estimation for the Spatial Auto-Regression Model: A Rigorous Approach, The Second NASA Data Mining Workshop: Issues and Applications in Earth Science,  Pasadena , California, 2006.

  8. J. S. Yoo, S. Shekhar, S. Kim, and M. Celik, Discovery of Co-evolving Spatial Event Sets, In Proc. of the SIAM Int’l Conf. on Data Mining (SDM), Bethesda, Maryland, 2006.

  9. J. S. Yoo, S. Shekhar, and M. Celik, A Join-less Approach for Co-location Pattern Mining: A Summary of Results, In Proc. of the 5th IEEE Int’l Conf. on Data Mining (ICDM), Houston, Texas, 2005. 

  10. B. M. Kazar, S. Shekhar, D. J. Lilja, D. Shires, J. Rogers, and M. Celik, A Parallel Formulation of the Spatial Auto-Regression Model, In Proc.of  Int’ l Conf. GIS PLANET,  Lisbon, Portugal, 2005.

Technical Reports

  1. M. Celik, S. Shekhar, B. George, J. P. Rogers, J. A. Shine, Discovering and Quantifying Mean Streets: A Summary of Results, University of Minnesota, Department of Computer Science, Technical Report, no. 07-025, 2007.

  2. M. Celik,  B.M. Kazar, D. Boley, S. Shekhar, D.J. Lilja, A Comparison of Approximate Solution Procedures for Spatial Autoregression, Army High-Performance Computing Research Center (AHPCRC) Technical Report, no. 2005-14, 2005.

 
Research

 

Research interests

Spatial Data Mining, Spatio-temporal Data Mining, Databases, Location-based Services

 

Projects that I have been involved

  • Spatio-temporal Co-occurrence Pattern Mining
  • Graph-based Hotspot Discovery (Mean Streets)
  • Zonal Co-location Pattern Mining
  • High Performance Spatial Data Mining