Debprakash Patnaik
Debprakash Patnaik

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patnaikatvt.edu

  Affiliation history
Bibliometrics: publication history
Average citations per article3.81
Citation Count61
Publication count16
Publication years2008-2013
Available for download7
Average downloads per article392.57
Downloads (cumulative)2,748
Downloads (12 Months)148
Downloads (6 Weeks)14
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16 results found Export Results: bibtexendnoteacmrefcsv

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1
September 2013 IEEE/ACM Transactions on Computational Biology and Bioinformatics (TCBB): Volume 10 Issue 5, September 2013
Publisher: IEEE Computer Society Press
Bibliometrics:
Citation Count: 0
Downloads (6 Weeks): 1,   Downloads (12 Months): 9,   Downloads (Overall): 94

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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 elucidating evolutionary relationships, annotating newly sequenced segments, and understanding the relationship between biological sequences ...
Keywords: Multiple sequence alignment, coupled residues, pattern set mining, coupled patterns, max-flow problems

2
December 2012 ICDM '12: Proceedings of the 2012 IEEE 12th International Conference on Data Mining
Publisher: IEEE Computer Society
Bibliometrics:
Citation Count: 3

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 frequent episodes over a window of recent events in the stream. We derive approximation guarantees ...
Keywords: Event Sequences, Data Streams, Frequent Episodes, Pattern Discovery, Streaming Algorithms, Approximation Algorithms

3 published by ACM
October 2012 BCB '12: Proceedings of the ACM Conference on Bioinformatics, Computational Biology and Biomedicine
Publisher: ACM
Bibliometrics:
Citation Count: 0
Downloads (6 Weeks): 1,   Downloads (12 Months): 5,   Downloads (Overall): 102

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We present 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 elucidating evolutionary relationships, annotating newly sequenced segments, and understanding the relationship between biological sequences and functions. Classical MSA algorithms are ...
Keywords: coupled patterns, pattern set mining, bioinformtics, coupled residues, max-flow problems, multiple sequence alignment

4
January 2012 Information Visualization - Special issue on Visualization and Data Analysis 2011: Volume 11 Issue 1, January 2012
Publisher: Palgrave Macmillan
Bibliometrics:
Citation Count: 5

The detection of frequently occurring patterns, also called motifs, in data streams has been recognized as an important task. To find these motifs, we use an advanced event encoding and pattern discovery algorithm. As a large time series can contain hundreds of motifs, there is a need to support interactive ...
Keywords: frequent patterns, motifs, prediction, multivariate time series, merging, distortion, seasonal data

5
November 2011 Knowledge and Information Systems: Volume 29 Issue 2, November 2011
Publisher: Springer-Verlag New York, Inc.
Bibliometrics:
Citation Count: 1

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. In this paper, we introduce the notion of excitatory networks which are essentially temporal models where all connections are stimulative, rather than inhibitive. The emphasis on ...
Keywords: Dynamic Bayesian networks, Spike train analysis, Computational neuroscience, Temporal data mining

6 published by ACM
August 2011 KDD '11: Proceedings of the 17th ACM SIGKDD international conference on Knowledge discovery and data mining
Publisher: ACM
Bibliometrics:
Citation Count: 9
Downloads (6 Weeks): 3,   Downloads (12 Months): 46,   Downloads (Overall): 749

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The standardization and wider use of electronic medical records (EMR) creates opportunities for better understanding patterns of illness and care within and across medical systems. Our interest is in the temporal history of event codes embedded in patients' records, specifically investigating frequently occurring sequences of event codes across patients. In ...
Keywords: medical informatics, partial orders, temporal data mining

7
August 2011 AAAI'11: Proceedings of the Twenty-Fifth AAAI Conference on Artificial Intelligence
Publisher: AAAI Press
Bibliometrics:
Citation Count: 1

In recent years, environmental sustainability has received widespread attention due to continued depletion of natural resources and degradation of the environment. Life cycle assessment (LCA) is a methodology for quantifying multiple environmental impacts of a product, across its entire life cycle – from creation to use to discard. The key ...

8 published by ACM
July 2011 ACM Transactions on Intelligent Systems and Technology (TIST): Volume 2 Issue 4, July 2011
Publisher: ACM
Bibliometrics:
Citation Count: 7
Downloads (6 Weeks): 3,   Downloads (12 Months): 42,   Downloads (Overall): 688

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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 is their cooling infrastructure, whose efficient and sustainable operation is a key ingredient to the “always-on” capability ...
Keywords: clustering, motifs, frequent episodes, sustainability, chillers, Data centers

9 published by ACM
November 2010 IHI '10: Proceedings of the 1st ACM International Health Informatics Symposium
Publisher: ACM
Bibliometrics:
Citation Count: 0
Downloads (6 Weeks): 1,   Downloads (12 Months): 6,   Downloads (Overall): 53

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Most Americans will need the services of Intensive Care Units (ICUs) at some point during their lives. There are wide variations between hospitals in the outcome of critical care and, as a result, thousands of patients who die each year in ICUs may have survived if they were at the ...
Keywords: cascades, medicare claims, data mining, administrative data, alerts, critical care, transfer networks

10
May 2010 IDA'10: Proceedings of the 9th international conference on Advances in Intelligent Data Analysis
Publisher: Springer-Verlag
Bibliometrics:
Citation Count: 4

We present a data mining approach to model the cooling infrastructure in data centers, particularly the chiller ensemble. These infrastructures are poorly understood due to the lack of “first principles” models of chiller systems. At the same time, they abound in data due to instrumentation by modern sensor networks. We ...

11 published by ACM
May 2010 CF '10: Proceedings of the 7th ACM international conference on Computing frontiers
Publisher: ACM
Bibliometrics:
Citation Count: 1
Downloads (6 Weeks): 1,   Downloads (12 Months): 6,   Downloads (Overall): 138

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Computational neuroscience is being revolutionized with the advent of multi-electrode arrays that provide real-time, dynamic perspectives into brain function. Mining neuronal spike streams from these chips is critical to understand the firing patterns of neurons and gain insight into the underlying cellular activity. To address this need, we present a ...
Keywords: graphics processing unit, computational neuroscience, computation-to-core mapping, temporal data mining

12
December 2009 ICDM '09: Proceedings of the 2009 Ninth IEEE International Conference on Data Mining
Publisher: IEEE Computer Society
Bibliometrics:
Citation Count: 3

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 as excitatory networks where all connections are stimulative, rather than inhibitory. Through this emphasis on excitatory networks, ...
Keywords: Frequent Episodes, Dynamic Bayesian Network, Computational Neuroscience, Spike train analysis, Temporal Data Mining

13
October 2009 NPC '09: Proceedings of the 2009 Sixth IFIP International Conference on Network and Parallel Computing
Publisher: IEEE Computer Society
Bibliometrics:
Citation Count: 3

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 datasets, analysis capabilities have lagged behind, due to both lack of powerful algorithms and inaccessibility to powerful hardware ...
Keywords: GPGPU, Temporal data mining, Frequent episodes, Spike train analysis

14
August 2009 Computer: Volume 42 Issue 8, August 2009
Publisher: IEEE Computer Society Press
Bibliometrics:
Citation Count: 1

The dynamics of important temporal processes can now be automatically reconstructed from data.
Keywords: Artificial intelligence, Process modeling, Artificial intelligence, Temporal data mining, Process modeling, Model checking, Model checking, Temporal data mining

15 published by ACM
June 2009 KDD '09: Proceedings of the 15th ACM SIGKDD international conference on Knowledge discovery and data mining
Publisher: ACM
Bibliometrics:
Citation Count: 15
Downloads (6 Weeks): 4,   Downloads (12 Months): 34,   Downloads (Overall): 924

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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, including power management, networking, and cooling infrastructure, is hence crucial to sustainability. In the absence ...
Keywords: chillers, data centers, clustering, motifs, frequent episodes, sustainability

16
January 2008 Scientific Programming - Biological Data Mining: Volume 16 Issue 1, January 2008
Publisher: IOS Press
Bibliometrics:
Citation Count: 1

Understanding the functioning of a neural system in terms of its underlying circuitry is an important problem in neuroscience. Recent developments in electrophysiology and imaging allow one to simultaneously record activities of hundreds of neurons. Inferring the underlying neuronal connectivity patterns from such multi-neuronal spike train data streams is a ...
Keywords: Data Mining, Functional Connectivity, Multiple Neural Spike Train Data, Temporal Constraints, Temporal Data Mining, Frequent Episodes, Neuronal Connectivity Patterns, Spike Train Data Analysis, Synchrony, Synfire Chains



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