Zobrazeno 1 - 10
of 20
pro vyhledávání: '"Debprakash Patnaik"'
Publikováno v:
Knowledge and Information Systems. 37:585-610
Discovering frequent patterns 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 m
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::07267d1ec7e635e8433079e893eb1a1c
https://doi.org/10.1007/s10115-013-0669-z
https://doi.org/10.1007/s10115-013-0669-z
Autor:
Naren Sundaravaradan, M. S. Hossain, Naren Ramakrishnan, Manish Marwah, Debprakash Patnaik, Chandrakant D. Patel, Amip J. Shah
Publikováno v:
IEEE Potentials. 31:28-34
Nearly every aspect of modern life is laced with questions and choices regarding sustainability. Some questions are pervasive, e.g., should I print this IEEE Potentials article or should I read it online? Others are subtle and we might not think cons
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ec7f472488b7d1af76ab155fa8b6d6e9
https://doi.org/10.1109/mpot.2011.2181883
https://doi.org/10.1109/mpot.2011.2181883
Autor:
Daniel A. Keim, Ming C. Hao, Manish Marwah, Naren Ramakrishnan, Debprakash Patnaik, Umeshwar Dayal, Halldór Janetzko, Ratnesh Sharma
Publikováno v:
Information Visualization. 11:71-83
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
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::bc0266b583570c4f228544ce2669f798
https://doi.org/10.1177/1473871611430769
https://doi.org/10.1177/1473871611430769
Autor:
Wu-chun Feng, Naren Ramakrishnan, Sean P. Ponce, Patrick Butler, Yong Cao, Debprakash Patnaik, Jeremy Archuleta
Publikováno v:
International Journal of Parallel Programming. 40:605-632
Multi-electrode arrays (MEAs) provide dynamic and spatial perspectives into brain function by capturing the temporal behavior of spikes recorded from cultures and living tissue. Understanding the firing patterns of neurons implicit in these spike tra
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::85e36ec9272583039af2ac7d41cdb335
https://doi.org/10.1007/s10766-011-0181-6
https://doi.org/10.1007/s10766-011-0181-6
Publikováno v:
ACM Transactions on Intelligent Systems and Technology. 2:1-29
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 c
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a3f14b5d8861135d59dc481897bf7875
https://doi.org/10.1145/1989734.1989738
https://doi.org/10.1145/1989734.1989738
Publikováno v:
Knowledge and Information Systems. 29:273-303
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 excit
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9c51f86bccc3e96fc65166c2d56c4b20
https://doi.org/10.1007/s10115-010-0344-6
https://doi.org/10.1007/s10115-010-0344-6
Publikováno v:
Computer. 42:97-101
Timing is everything. Neurons fire in time-locked fashion to propagate signals and form memories. The cell division cycle, the process by which an adult cell divides into two daughter cells, is carefully orchestrated by rises and decays of regulating
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::30f2c423a55aa574441f12282b77c57b
https://doi.org/10.1109/mc.2009.267
https://doi.org/10.1109/mc.2009.267
Publikováno v:
Scientific Programming, Vol 16, Iss 1, Pp 49-77 (2008)
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.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::cedd06f7c4d2164516b09d1e9e9887ba
https://doaj.org/article/bcd37297611544cbbfecea9d1278c3f1
https://doaj.org/article/bcd37297611544cbbfecea9d1278c3f1
Autor:
Naren Ramakrishnan, Debprakash Patnaik, K. S. M. Tozammel Hossain, Srivatsan Laxman, Chris Bailey-Kellogg, Prateek Jain
Publikováno v:
BCB
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
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::281e83a370ea07eed251e7d6828e07a9
https://pubmed.ncbi.nlm.nih.gov/24384701
https://pubmed.ncbi.nlm.nih.gov/24384701
Publikováno v:
ICDM
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 m
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::60c82fd2d3f751c3f40b80ea0d0e9e4c
https://doi.org/10.1109/icdm.2012.84
https://doi.org/10.1109/icdm.2012.84