Publications

Book Chapters
Chris Giannella, Haimonti Dutta and Hillol Kargupta, “A Survey of Distributed Data Mining Algorithms: Clustering, Classification, and Association Rules”. (In communication to be published in “Handbook on Data Mining, chapter 12, CRC press).

Journal Articles
Chris Giannella, Haimonti Dutta, Kirk Borne, Ran Wolff, Hillol Kargupta, "Distributed Data Mining in Astronomy Catalogs", submitted to Special Issue of "Concurrency and Computation: Practice and Experience". Hillol Kargupta, Byung Hoon Park, Haimonti Dutta. (2006). Orthogonal Decision Trees, IEEE Transactions on Knowledge and Data Engineering, Vol 18, No 7, July 2006. Hillol Kargupta, Kun Liu, Souptik Datta, Haimonti Dutta, Krishnamoorthy Sivakumar and Qi Wang, “A Perspective on Randomization in Privacy Sensitive Data Mining from Distributed Data Sources”, in communication (submitted to ACM Transactions on Internet Technology).

Journal Articles

Chris Giannella, Haimonti Dutta, Kirk Borne, Ran Wolff, Hillol Kargupta, "Distributed Data Mining in Astronomy Catalogs", submitted to Special Issue of "Concurrency and Computation: Practice and Experience".
Hillol Kargupta, Byung Hoon Park, Haimonti Dutta. (2006). Orthogonal Decision Trees, IEEE Transactions on Knowledge and Data Engineering, Vol 18, No 7, July 2006.
Hillol Kargupta, Kun Liu, Souptik Datta, Haimonti Dutta, Krishnamoorthy Sivakumar and Qi Wang, “A Perspective on Randomization in Privacy Sensitive Data Mining from Distributed Data Sources”, in communication (submitted to ACM Transactions on Internet Technology).

Conference Papers
Haimonti Dutta, Chris Giannella, Kirk Borne and Hillol Kargupta, " Distributed Top-K Outlier Detection in Astronomy Catalogs using the DEMAC system", Accepted for publication at SIAM International Conference on Data Mining, 2007, Minneapolis, USA. Haimonti Dutta, Hillol Kargupta, and Anupam Joshi, “Orthogonal Decision Trees for Resource-Constrained Physiological Data Stream Monitoring using Mobile Devices”,High Performance Computing Conference(HiPC 2005), India. Hillol Kargupta and Haimonti Dutta (2004). Orthogonal Decision Trees. The Fourth IEEE International Conference on Data Mining. Brighton, UK, pages 487—490. Vasilis Megalooikonomou, Haimonti Dutta, Despina Kontos, “Fast and Effective Characterization of 3D Region Data”, International Conference of Image Processing (ICIP) 2002 Rochester, NY.

Conference Papers

Haimonti Dutta, Chris Giannella, Kirk Borne and Hillol Kargupta, " Distributed Top-K Outlier Detection in Astronomy Catalogs using the DEMAC system", Accepted for publication at SIAM International Conference on Data Mining, 2007, Minneapolis, USA.

Haimonti Dutta, Hillol Kargupta, and Anupam Joshi, “Orthogonal Decision Trees for Resource-Constrained Physiological Data Stream Monitoring using Mobile Devices”,High Performance Computing Conference(HiPC 2005), India.
Hillol Kargupta and Haimonti Dutta (2004). Orthogonal Decision Trees. The Fourth IEEE International Conference on Data Mining. Brighton, UK, pages 487—490.
Vasilis Megalooikonomou, Haimonti Dutta, Despina Kontos, “Fast and Effective Characterization of 3D Region Data”, International Conference of Image Processing (ICIP) 2002 Rochester, NY.

Workshop Papers
Haimonti Dutta, "Empowering Scientific Discovery by Distributed Data Mining on the Grid Infrastructure", Proceedings of the IBM Ph.D. Symposium at the International Conference on Service Oriented Computing (ICSOC), 2006. Chris Giannella, Haimonti Dutta, Sourav Mukherjee and Hillol Kargupta,“Distributed Kernel Density Estimation", 9th International Workshop on High Performance and Distributed Mining, 2006 (HPDM 2006) Chris Giannella, Haimonti Dutta, Ran Wolff, Kirk Borne and Hillol Kargupta, “Distributed Data Mining in Astronomy Databases”, The 9th Workshop on Mining Scientific and Engineering Data Sets(to be held in conjunction with SDM 2006) Haimonti Dutta, Hillol Kargupta, Souptik Datta and Krishanamoorthy Siva Kumar, “Privacy Preserving Data Mining and Random Perturbations”, Workshop on Privacy in the Electronic Society 2003, (in association with 10th ACM Conference on Computer and Communications Security)

Workshop Papers

Haimonti Dutta, "Empowering Scientific Discovery by Distributed Data Mining on the Grid Infrastructure", Proceedings of the IBM Ph.D. Symposium at the International Conference on Service Oriented Computing (ICSOC), 2006.
Chris Giannella, Haimonti Dutta, Sourav Mukherjee and Hillol Kargupta,“Distributed Kernel Density Estimation", 9th International Workshop on High Performance and Distributed Mining, 2006 (HPDM 2006)
Chris Giannella, Haimonti Dutta, Ran Wolff, Kirk Borne and Hillol Kargupta, “Distributed Data Mining in Astronomy Databases”, The 9th Workshop on Mining Scientific and Engineering Data Sets(to be held in conjunction with SDM 2006)
Haimonti Dutta, Hillol Kargupta, Souptik Datta and Krishanamoorthy Siva Kumar, “Privacy Preserving Data Mining and Random Perturbations”, Workshop on Privacy in the Electronic Society 2003, (in association with 10th ACM Conference on Computer and Communications Security)

Non-Refereed manuscripts
Haimonti Dutta, " Empowering Scientific Discovery by Distributed Data Mining on the Grid Infrastructure" (A Proposal for Doctoral Research.) Madhu Nayakkankuppam and Haimonti Dutta, "Maximum Likelihood Phylogenetic Tree Construction", Extended Abstract submitted to Graduate Research Conference, University of Maryland, Baltimore County, 2003. Despina Kontos, Vasileios Megalooikonomou, Marc Sobel and Haimonti Dutta, "Effective Feature Selection for Characterization and Classification of Spatial Region Data"

Non-Refereed manuscripts

Haimonti Dutta, " Empowering Scientific Discovery by Distributed Data Mining on the Grid Infrastructure" (A Proposal for Doctoral Research.)

Madhu Nayakkankuppam and Haimonti Dutta, "Maximum Likelihood Phylogenetic Tree Construction", Extended Abstract submitted to Graduate Research Conference, University of Maryland, Baltimore County, 2003.

Despina Kontos, Vasileios Megalooikonomou, Marc Sobel and Haimonti Dutta, "Effective Feature Selection for Characterization and Classification of Spatial Region Data"