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Displaying 1-8 out of 8 total
Improved Multiple Sequence Alignments Using Coupled Pattern Mining
Found in: IEEE/ACM Transactions on Computational Biology and Bioinformatics
By K.S.M.Tozammel Hossain,Debprakash Patnaik,Srivatsan Laxman,Prateek Jain,Chris Bailey-Kellogg,Naren Ramakrishnan
Issue Date:September 2013
pp. 1098-1112
We present alignment refinement by mining coupled residues (ARMiCoRe), a novel approach to a classical bioinformatics problem, viz., multiple sequence alignment (MSA) of gene and protein sequences. Aligning multiple biological sequences is a key step in el...
 
Efficient Episode Mining of Dynamic Event Streams
Found in: 2012 IEEE 12th International Conference on Data Mining (ICDM)
By Debprakash Patnaik,Srivatsan Laxman,Badrish Chandramouli,Naren Ramakrishnan
Issue Date:December 2012
pp. 605-614
Discovering frequent episodes over event sequences is an important data mining problem. Existing methods typically require multiple passes over the data, rendering them unsuitable for streaming contexts. We present the first streaming algorithm for mining ...
 
Discovering Excitatory Networks from Discrete Event Streams with Applications to Neuronal Spike Train Analysis
Found in: Data Mining, IEEE International Conference on
By Debprakash Patnaik, Srivatsan Laxman, Naren Ramakrishnan
Issue Date:December 2009
pp. 407-416
Mining temporal network models from discrete event streams is an important problem with applications in computational neuroscience, physical plant diagnostics, and human-computer interaction modeling. We focus in this paper on temporal models representable...
 
Accelerator-Oriented Algorithm Transformation for Temporal Data Mining
Found in: Network and Parallel Computing Workshops, IFIP International Conference on
By Debprakash Patnaik, Sean P. Ponce, Yong Cao, Naren Ramakrishnan
Issue Date:October 2009
pp. 93-100
Temporal data mining algorithms are becoming increasingly important in many application domains including computational neuroscience, especially the analysis of spike train data. While application scientists have been able to readily gather multi-neuronal ...
 
Temporal Process Discovery in Many Guises
Found in: Computer
By Naren Ramakrishnan, Debprakash Patnaik, Vandana Sreedharan
Issue Date:August 2009
pp. 97-101
The dynamics of important temporal processes can now be automatically reconstructed from data.
 
Improved Multiple Sequence Alignments Using Coupled Pattern Mining
Found in: IEEE/ACM Transactions on Computational Biology and Bioinformatics (TCBB)
By Chris Bailey-Kellogg, Debprakash Patnaik, K. S. M. Tozammel Hossain, Naren Ramakrishnan, Prateek Jain, Srivatsan Laxman
Issue Date:September 2013
pp. 1098-1112
We present alignment refinement by mining coupled residues (ARMiCoRe), a novel approach to a classical bioinformatics problem, viz., multiple sequence alignment (MSA) of gene and protein sequences. Aligning multiple biological sequences is a key step in el...
     
Temporal data mining approaches for sustainable chiller management in data centers
Found in: ACM Transactions on Intelligent Systems and Technology (TIST)
By Debprakash Patnaik, Manish Marwah, Manish Marwah, Naren Ramakrishnan, Naren Ramakrishnan, Ratnesh K. Sharma, Ratnesh K. Sharma
Issue Date:July 2011
pp. 1-29
Practically every large IT organization hosts data centers---a mix of computing elements, storage systems, networking, power, and cooling infrastructure---operated either in-house or outsourced to major vendors. A significant element of modern data centers...
     
Sustainable operation and management of data center chillers using temporal data mining
Found in: Proceedings of the 15th ACM SIGKDD international conference on Knowledge discovery and data mining (KDD '09)
By Debprakash Patnaik, Manish Marwah, Naren Ramakrishnan, Ratnesh Sharma
Issue Date:June 2009
pp. 1-24
Motivation: Data centers are a critical component of modern IT infrastructure but are also among the worst environmental offenders through their increasing energy usage and the resulting large carbon footprints. Efficient management of data centers, includ...
     
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