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Open Knowledge
XHTML 1.0 W3C Rec
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Travelled to:
1 × Austria
1 × China
1 × France
1 × Korea
10 × USA
2 × Greece
Collaborated with:
S.Guha J.Widom U.Srivastava J.Yang S.Babu S.Gollapudi A.Silberstein A.Meyerson R.Motwani S.Im J.Kulkarni K.Bhawalkar Y.Zhang A.Goel S.Bhattacharya G.Goel M.Ahmad A.Aboulnaga A.E.Gelfand G.Puggioni I.Nishizawa V.Arya N.Garg R.Khandekar V.Pandit
Talks about:
queri (4) problem (3) optim (3) data (3) algorithm (2) competit (2) approxim (2) network (2) exploit (2) system (2)

Person: Kamesh Munagala

DBLP DBLP: Munagala:Kamesh

Contributed to:

STOC 20142014
STOC 20132013
VLDB 20112011
STOC 20102010
ICALP (2) 20092009
PODS 20092009
SIGMOD 20092009
CIKM 20082008
PODS 20072007
STOC 20072007
VLDB 20072007
PODS 20062006
SIGMOD 20062006
VLDB 20062006
PODS 20052005
SIGMOD 20042004
STOC 20012001

Wrote 18 papers:

STOC-2014-ImKM #algorithm #constraints #scheduling
Competitive algorithms from competitive equilibria: non-clairvoyant scheduling under polyhedral constraints (SI, JK, KM), pp. 313–322.
STOC-2013-BhawalkarGM #game studies
Coevolutionary opinion formation games (KB, SG, KM), pp. 41–50.
VLDB-2011-ZhangM0 #matrix #revisited #theory and practice
Storing Matrices on Disk: Theory and Practice Revisited (YZ, KM, JY), pp. 1075–1086.
Budget constrained auctions with heterogeneous items (SB, GG, SG, KM), pp. 379–388.
ICALP-v2-2009-GuhaM #metric #multi
Multi-armed Bandits with Metric Switching Costs (SG, KM), pp. 496–507.
PODS-2009-GuhaM #clustering #nondeterminism
Exceeding expectations and clustering uncertain data (SG, KM), pp. 269–278.
SIGMOD-2009-BabuGM #learning #nondeterminism #scalability
Large-scale uncertainty management systems: learning and exploiting your data (SB, SG, KM), pp. 995–998.
CIKM-2008-AhmadABM #database #interactive #modelling #query
Modeling and exploiting query interactions in database systems (MA, AA, SB, KM), pp. 183–192.
PODS-2007-MunagalaSW #optimisation #query
Optimization of continuous queries with shared expensive filters (KM, US, JW), pp. 215–224.
STOC-2007-GuhaM #algorithm #approximate #learning #problem
Approximation algorithms for budgeted learning problems (SG, KM), pp. 104–113.
VLDB-2007-SilbersteinGMPY #approach
Making Sense of Suppressions and Failures in Sensor Data: A Bayesian Approach (AS, AEG, KM, GP, JY), pp. 842–853.
PODS-2006-GoelGM #modelling #optimisation #using
Asking the right questions: model-driven optimization using probes (AG, SG, KM), pp. 203–212.
SIGMOD-2006-SilbersteinMY #energy #monitoring #network
Energy-efficient monitoring of extreme values in sensor networks (AS, KM, JY), pp. 169–180.
VLDB-2006-SrivastavaMWM #optimisation #query #web #web service
Query Optimization over Web Services (US, KM, JW, RM), pp. 355–366.
PODS-2005-SrivastavaMW #query
Operator placement for in-network stream query processing (US, KM, JW), pp. 250–258.
SIGMOD-2004-BabuMMNW #adaptation #pipes and filters
Adaptive Ordering of Pipelined Stream Filters (SB, RM, KM, IN, JW), pp. 407–418.
STOC-2001-AryaGKMP #heuristic #problem
Local search heuristic for k-median and facility location problems (VA, NG, RK, AM, KM, VP), pp. 21–29.
STOC-2001-GuhaMM #approximate #constant #problem
A constant factor approximation for the single sink edge installation problems (SG, AM, KM), pp. 383–388.

Bibliography of Software Language Engineering in Generated Hypertext (BibSLEIGH) is created and maintained by Dr. Vadim Zaytsev.
Hosted as a part of SLEBOK on GitHub.