Publications

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2012
Y. Cao, et al., “Parallel Mining of Neuronal Spike Streams on Graphics Processing Units”, International Journal of Parallel Programming, 2012. ijpp-spiketrains2011.pdf (1010.59 KB)
2011
C. Andrews, S. M. Hossain, S. Gad, N. Ramakrishnan, and C. North, “Analyst's Workspace: Protecting Vastopolis”, 2011. aw_vast_challenge_2011(1).pdf (4.2 MB)
S. Deshpande, L. T. Watson, J. Shu, F. A. Kamke, and N. Ramakrishnan, “Data driven surrogate-based optimization in the problem solving environment WBCSim”, Engineering with Computers, . 27, no. 3, p. 211-223, 2011. ddsowbcsim.pdf (778.42 KB)
N. Sundaravaradan, M. Marwah, A. Shah, and N. Ramakrishnan, “Data Mining Approaches to Life Cycle Assessment”, Proceedings of the IEEE International Symposium on Sustainable Systems and Technology (ISSST'11). 2011. ISSSTLCA2011.pdf (391.44 KB)
D. Patnaik, S. Laxman, and N. Ramakrishnan, “Discovering excitatory relationships using dynamic Bayesian networks”, Knowledge and Information Systems, p. 1-31, 2011. kais2010-patnaik.pdf (1.04 MB)
N. Sundaravaradan, D. Patnaik, N. Ramakrishnan, M. Marwah, and A. Shah, “Discovering Life Cycle Assessment Trees from Impact Factor Databases”, Proceedings of the Twenty-Fifth Conference on Artificial Intelligence (AAAI'11). 2011. paper-lifecycle-aaai11.pdf (1.77 MB)
D. Patnaik, P. Butler, N. Ramakrishnan, L. Parida, B. J. Keller, and D. A. Hanauer, KDD'11, August 21--24, 2011, San Diego, California, USA., 2011.
D. Patnaik, P. Butler, N. Ramakrishnan, L. Parida, B. Keller, and D. Hanauer, “Experiences with Mining Temporal Event Sequences from Electronic Medical Records: Initial Successes and Some Challenges”, KDD '11: Proceedings of the 17th ACM SIGKDD international conference on Knowledge discovery and data mining. ACM, 2011. ind0147-patnaik.pdf (1.83 MB)
M. S. Hossain, C. Andrews, N. Ramakrishnan, and C. North, “Helping intelligence analysts make connections”, Proceedings of the AAAI'11 Workshop on Scalable Integration of Analytics and Visualization. 2011. aaai11_ia.pdf (5.93 MB)
D. Hanauer, K. Zheng, N. Ramakrishnan, and B. J. Keller, “Opportunities and Challenges in Association and Episode Discovery from Electronic Health Records”, IEEE Intelligent Systems, 2011.
K. P. Unnikrishnan, D. Patnaik, and T. J. Iwashyna, “Spatio-temporal Structure of US Critical Care Transfer Network”, Proc 2011 AMIA Clin Res Informatics Summit. p. 74-78, 2011. amia-cri-2011-cascades.pdf (812.77 KB)
D. Patnaik, M. Marwah, R. K. Sharma, and N. Ramakrishnan, “Temporal data mining approaches for sustainable chiller management in data centers”, ACM Trans. Intell. Syst. Technol., . 2, p. 34:1–34:29, 2011. chillers-acm-tist-2011-patnaik.pdf (3.72 MB)
W. -chun Feng, Y. Cao, D. Patnaik, and N. Ramakrishnan, “Temporal Data Mining for Neuroscience”, in GPU Computing Gems, Emerald Edition., Morgan Kaufmann, 2011. GPU-Computing-GEMS-ch15-211-228.pdf (638.04 KB)
M. Marwah, A. Shah, C. Bash, C. Patel, and N. Ramakrishnan, “Using Data Mining to Help Design Sustainable Products”, IEEE Computer, . Vol. 44, 2011.
T. K. S. M. Hossain, C. Bailey-Kellogg, A. M. Friedman, M. J. Bradley, N. Baker, and N. Ramakrishnan, “Using Physicochemical Properties of Amino Acids to induce Graphical Models of Residue Coupling”, Proceedings of the 10th ACM SIGKDD Workshop on Data Mining in Bioinformatics (BioKDD’11). 2011. biokdd2011.pdf (593.27 KB)
2010
D. Patnaik, M. Marwah, R. K. Sharma, and N. Ramakrishnan, “Data Mining for Modeling Chiller Systems in Data Centers”, in Advances in Intelligent Data Analysis IX, . 6065, P. Cohen, N. Adams, and M. Berthold, Eds. Springer Berlin / Heidelberg, 2010, p. 125-136. ida2010-patnaik.pdf (1.14 MB)
K. P. Unnikrishnan, D. Patnaik, and T. J. Iwashyna, “Discovering specific cascades in critical care transfer networks”, Proceedings of the 1st ACM International Health Informatics Symposium. ACM, p. 541–544, 2010. ihi2010-cascades.pdf (999.29 KB)
C. Andrews, A. Endert, and C. North, “Space to Think: Large, High-Resolution Displays for Sensemaking”, CHI '10:: Proceedings of the 28th international conference on Human factors in computing systems . p. 55-64, 2010. p55-andrews.pdf (5.71 MB)
Y. Cao, et al., “Towards chip-on-chip neuroscience: fast mining of neuronal spike streams using graphics hardware”, CF '10: Proceedings of the 7th ACM international conference on Computing frontiers. ACM, p. 1–10, 2010. p1-cao.pdf (1.12 MB)
M. S. Hossain, S. Tadepalli, L. T. Watson, I. Davidson, R. F. Helm, and N. Ramakrishnan, “Unifying dependent clustering and disparate clustering for non-homogeneous data”, Proceedings of the 16th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD'10). p. 593–602, 2010. rp733e-hossain.pdf (1.02 MB)
M. C. Hao, et al., “Visual analysis of frequent patterns in large time series”, Visual Analytics Science and Technology (VAST), 2010 IEEE Symposium on. p. 227 -228, 2010. vast10-hao-poster.pdf (700.51 KB)
2009
D. Patnaik, S. P. Ponce, Y. Cao, and N. Ramakrishnan, “Accelerator-Oriented Algorithm Transformation for Temporal Data Mining”, NPC '09: Proceedings of the 2009 Sixth IFIP International Conference on Network and Parallel Computing. IEEE Computer Society, p. 93–100, 2009. npc09-patnaik.pdf (1.06 MB)
N. Ramakrishnan, “C4.5”, in Top 10 Algorithms in Data Mining, 2009, p. 1-19.
D. Patnaik, S. Laxman, and N. Ramakrishnan, “Discovering Excitatory Networks from Discrete Event Streams with Applications to Neuronal Spike Train Analysis”, Proc. of the 9th IEEE Intl. Conf. on Data Mining. p. 407–416, 2009. icdm09-patnaik.pdf (743.75 KB)
S. Tadepalli, N. Ramakrishnan, L. T. Watson, B. Mishra, and R. F. Helm, “Simultaneously Segmenting Multiple Gene Expression Courses by Analyzing Cluster Dynamics”, Journal of Bioinformatics and Computational Biology, . 7, no. 2, p. 339-356, 2009.

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