Publications

 

Journal Articles:

 

  • Laszlo, M. & Mukherjee, S. (2009). “Approximation Bounds for Minimum Information Loss Microaggregation”. IEEE Transactions on Knowledge and Data Engineering, Vol. 21, No. 11, 1643–1647. [PDF version]

 

  • Laszlo, M. & Mukherjee, S. (2008). An approximation algorithm for network design problems with downwards-monotone demand functions. Optimization Letters, 2(2), 171–175. [PDF version]

 

  • Laszlo, M and Mukherjee, S. (2007), “A genetic algorithm that exchanges neighboring centers for k-means clustering”, Pattern Recognition Letters, 28, 16, pp 2359–2366. [PDF version]

 

  • Laszlo, M and Mukherjee, S. (2006), “A Genetic Algorithm using Hyper-Quadtrees for Low-Dimensional K-Means Clustering”, IEEE Transactions on Pattern Analysis and Machine Intelligence, Vol 28, No. 4, pp 533-543. [PDF version]

 

  • Laszlo, M and Mukherjee, S. (2006), “A class of heuristics for the constrained forest problem”, Discrete Applied Mathematics, Vol. 154, Issue 1, 1 January 2006, pp 6-14. [PDF version]

 

  • Laszlo, M and Mukherjee, S. (2005), “Minimum Spanning Tree Partitioning Algorithm for Microaggregation”, IEEE Transactions on Knowledge and Data Engineering, Vol. 17, No. 7, July 2005, pp 902-911. [PDF version]

 

  • Laszlo, M and Mukherjee, S. (2005), “Another greedy heuristic for the constrained forest problem”, Operations Research Letters, Vol. 33, Issue 6, pp 629 – 633. [PDF version]

 

  • Hansen, S., &  Mukherjee, S. (2003). A Polynomial Algorithm for Optimal Univariate Microaggregation, IEEE Transactions on Knowledge and Data Engineering, Vol. 15, No. 4, July/August 2003, pp 1043-1044. [PDF version]

 

  • Duncan, G. T. and Mukherjee, S. (2000), Optimal Disclosure Limitation Strategy in Statistical Databases: Deterring Tracker Attacks through Additive Noise, Journal of the American Statistical Association, Vol. 95, No. 451, 720 - 729. [PDF version]

 

  • Laha, S., Mukherjee, S., & Nebhrajani, S. (2000). Information Management System for Site Remediation Efforts. Environmental Management, Vol. 25, No. 5, 515-526.

 

  • Dutta Chowdhury, S., Duncan, G. T., Krishnan, R., Roehrig, S. F., & Mukherjee, S. (1999). Disclosure Detection in Multivariate Categorical Databases: Auditing Confidentiality Protection Through Two New Matrix Operators, Management  Science, Vol. 45,No. 12, 1710-1723. [PDF version]

 

·         Duncan G.T., Krishnan R. and Mukherjee S. (1995). Inference channel detection in multilevel relational databases: a graph-based approach, Journal of Organizational Computing, 5, 2, pp 123-138.

 

·         Duncan G.Tand Mukherjee S. (1994), Confidentiality within computer databases, Statistica Applicata, 6,3, pp 227-239.

 

·         Duncan G.Tand Mukherjee S. (1993), Disclosure limitation in statistical databases using autoregressive noise. Database Security VI, Status and Prospects (ed. C. Landwehr and B. Thuraisingham), IFIP Transactions A-21, Elsevier Science Publishers B.V. (North Holland), pp 211-224.

 

·         Bhargava H., Krishnan R. and Mukherjee S. (1992). On the integration of data and mathematical modeling languages. Annals of Operations Research, 38, pp 69-95.

 

 

Conference Proceedings:

 

  • Easwar Nyshadham and Sumitra Mukherjee (2003), "Returns to Reputation in Electronic Markets: An Experimental Study" Proceedings of the International Conference of Information Systems (ICIS 2003) in Seattle, December 15, 2003.

 

  • Mukherjee, S., & Laha, S. (2001). Pre-Engineered Wastewater Treatment Plant Selection using Genetic Algorithm, Proceedings of the Thirty-Fourth Annual International Conference of the Operations Research Society of India, December 27-29, 2001, Calcutta, India., pp. 83-91.

 

  • Mukherjee, S. and Laha S., (2000). Genetic Algorithm to Optimize Disinfectant Booster Locations, Proceedings of the World Water Congress of the International Water Association, Vol 2, 411-417.
  • Korrapati, R. B., Mukherjee, S., and Chalam, K. V. (2000). A Bayesian Model to Determine Medication Non-Compliance in Glaucoma Cases, Proceedings of the International Conference on Information Technology and Communication, Bangkok, Thailand, August 2000, 55-64.

 

  • Cruz, A., & Mukherjee, S. (1999). PLAGA: A Highly Parallelizable Genetic Algorithm for Programmable Logic Arrays for Test Pattern Generation, Proceedings of the 1999 Congress on Evolutionary Computation, 944-951, IEEE Press.

 

  • Mukherjee, S., & Laha, S. (1999), Optimizing Disinfectant Dosage and Scheduling in Water Treatment, Proceedings of the Third International Conference on Engineering Design and Automation, 427-432.

 

  • Cruz, A., & Mukherjee, S. (1999), An Evolutionary Algorithm for VLSI Testing, Proceedings of the 5th International Conference on Soft Computing: Mendel '99, 18-23.

 

  • Mukherjee, S. (1998). Should Non-Sensitive Attributes be Masked? Data Quality Implications of Data Perturbation in Regression Analysis. Proceedings of the 31st Hawaii International Conference on System Sciences, 6, 223-229, IEEE Computer Society Press.

 

  • Laha, S. and Mukherjee S. (1998) Predicting the Performance of Surfactanct Enhanced Subsurface Remediation, Proceedings of the International Conference on Artificial Intelligence and Mathematical Methods in Geomechanical Systems, A.A. Balkema, Rotterdam, Netherlands. 153-162.

 

  • Duncan, G. T., and Mukherjee S. (1997) Disclosure limitation through additive noise data masking: Analysis of skewed sensitive data, Proceedings of the twenty-ninth Annual Hawaii International Conference on Systems Sciences, 3, 581-586, IEEE Computer Society Press.

 

·         S. Dutta Chowdhury, G.T. Duncan, R. Krishnan, S. Roehrig  and Mukherjee S. (1996). Logical versus numerical inference on statistical databases, Proceedings of the Twenty-Eighth Annual Hawaii International Conference on Systems Sciences, IEEE Computer Society Press.

 

·         S. Dutta Chowdhury, G.T. Duncan, R. Krishnan, S. Roehrig  and Mukherjee S. (1995). Matrix and LP Algorithms for Disclosure Detection in Multivariate Categorical Databases, Proceedings of the Workshop on Information Technologies and Systems, Amsterdam, Holland.

 

·         Duncan, G. T., and Mukherjee S. (1992) Confidentiality protection in statistical databases: a disclosure limitation approach. Proceedings of the International Seminar on Statistical Confidentiality, Dublin, Ireland, September 1992.

 

·         Duncan, G. T., and Mukherjee S. (1991). Microdata disclosure limitation in statistical databases: query size restriction control and random sample query control. Proceedings of the IEEE Computer Society Symposium on Research in Security and Privacy.