BibSLEIGH — Amol

Travelled to:

1 × Austria
1 × Canada
1 × Germany
1 × Greece
9 × USA

Collaborated with:

J.Li B.Kanagal L.Getoor J.M.Hellerstein J.Mondal S.Madden U.Khurana T.Rekatsinas K.Tzoumas C.S.Jensen P.Sen V.Raman S.Nath P.B.Gibbons S.Seshan J.Lin S.Sarawagi K.Xirogiannopoulos A.Quamar A.Machanavajjhala B.Saha Z.G.Ives A.G.Parameswaran W.Hong E.Wu W.E.Moustafa H.Miao K.A.Kumar J.Gluck A.Condon L.Hellerstein N.Wu S.Bhattacherjee A.Chavan S.Huang C.Guestrin A.Jindal P.Rawlani M.Stonebraker Y.Ke B.Karp A.P.Bhardwaj A.J.Elmore D.R.Karger S.Madden H.Subramanyam R.Zhang S.Chandrasekaran O.Cooper M.J.Franklin S.Krishnamurthy F.Reiss M.A.Shah

Talks about:

databas (11) probabilist (10) queri (9) process (6) graph (6) scale (5) data (5) correl (4) analyt (4) model (4)

Person: Amol Deshpande

DBLP: Deshpande:Amol

Contributed to:

2015

2014

2013

2012

2011

2010

2009

2008

2007

2006

2004

2003

Wrote 33 papers:

VLDB-2015-BhardwajDEKMPS0 #collaboration #data analysis: Collaborative Data Analytics with DataHub (APB, AD, AJE, DRK, SM, AGP, HS, EW, RZ), pp. 1916–1927.
VLDB-2015-BhattacherjeeCH #dataset #trade-off #version control: Principles of Dataset Versioning: Exploring the Recreation/Storage Tradeoff (SB, AC, SH, AD, AGP), pp. 1346–1357.
VLDB-2015-Xirogiannopoulos #graph #named #relational: GraphGen: Exploring Interesting Graphs in Relational Data (KX, UK, AD), pp. 2032–2043.
SIGMOD-2014-MondalD #graph #named #query #scalability: EAGr: supporting continuous ego-centric aggregate queries over large dynamic graphs (JM, AD), pp. 1335–1346.
VLDB-2014-JindalR0MDS #exclamation #graph #named #relational: VERTEXICA: Your Relational Friend for Graph Analytics! (AJ, PR, EW, SM, AD, MS), pp. 1669–1672.
VLDB-2014-QuamarDL #graph #named #scalability: NScale: Neighborhood-centric Analytics on Large Graphs (AQ, AD, JL), pp. 1673–1676.
SIGMOD-2013-KhuranaD #named #network #scalability: HiNGE: enabling temporal network analytics at scale (UK, AD), pp. 1089–1092.
SIGMOD-2013-MoustafaMDG #analysis #declarative #interactive #named #network: GRDB: a system for declarative and interactive analysis of noisy information networks (WEM, HM, AD, LG), pp. 1085–1088.
VLDB-2013-KumarGDL #named #scalability: Hone: “Scaling Down” Hadoop on Shared-Memory Systems (KAK, JG, AD, JL), pp. 1354–1357.
VLDB-2013-RekatsinasDM #clustering #multi: A SPARSI: Partitioning Sensitive Data amongst Multiple Adversaries (TR, AD, AM), pp. 1594–1605.
SIGMOD-2012-MondalD #graph #scalability: Managing large dynamic graphs efficiently (JM, AD), pp. 145–156.
SIGMOD-2012-RekatsinasDG #database #probability: Local structure and determinism in probabilistic databases (TR, AD, LG), pp. 373–384.
SIGMOD-2011-KanagalLD #analysis #database #evaluation #probability #query #robust: Sensitivity analysis and explanations for robust query evaluation in probabilistic databases (BK, JL, AD), pp. 841–852.
VLDB-2011-TzoumasDJ #estimation #independence #lightweight #modelling #visual notation: Lightweight Graphical Models for Selectivity Estimation Without Independence Assumptions (KT, AD, CSJ), pp. 852–863.
SIGMOD-2010-KanagalD #correlation #database #probability: Lineage processing over correlated probabilistic databases (BK, AD), pp. 675–686.
VLDB-2010-LiD #dataset #probability #ranking: Ranking Continuous Probabilistic Datasets (JL, AD), pp. 638–649.
VLDB-2010-SenDG #database #evaluation #probability #query: Read-Once Functions and Query Evaluation in Probabilistic Databases (PS, AD, LG), pp. 1068–1079.
VLDB-2010-TzoumasDJ #clustering #correlation #query: Sharing-Aware Horizontal Partitioning for Exploiting Correlations During Query Processing (KT, AD, CSJ), pp. 542–553.
PODS-2009-LiD #database #probability #query: Consensus answers for queries over probabilistic databases (JL, AD), pp. 259–268.
SIGMOD-2009-KanagalD #correlation #database #probability: Indexing correlated probabilistic databases (BK, AD), pp. 455–468.
VLDB-2009-LiSD #approach #database #probability #ranking: A Unified Approach to Ranking in Probabilistic Databases (JL, BS, AD), pp. 502–513.
VLDB-2008-SenDG #correlation #database #probability: Exploiting shared correlations in probabilistic databases (PS, AD, LG), pp. 809–820.
VLDB-2007-DeshpandeS #database #modelling #probability #visual notation: Probabilistic Graphical Models and their Role in Databases (AD, SS), pp. 1435–1436.
VLDB-2007-IvesDR #adaptation #how #query #question #what #why: Adaptive query processing: Why, How, When, and What Next? (ZGI, AD, VR), pp. 1426–1427.
PODS-2006-CondonDHW #algorithm #pipes and filters #problem: Flow algorithms for two pipelined filter ordering problems (AC, AD, LH, NW), pp. 193–202.
SIGMOD-2006-DeshpandeHR #adaptation #how #query #what #why: Adaptive query processing: why, how, when, what next (AD, JMH, VR), pp. 806–807.
SIGMOD-2006-DeshpandeM #database #modelling #named: MauveDB: supporting model-based user views in database systems (AD, SM), pp. 73–84.
VLDB-2004-DeshpandeGMHH #modelling #network: Model-Driven Data Acquisition in Sensor Networks (AD, CG, SM, JMH, WH), pp. 588–599.
VLDB-2004-DeshpandeH #adaptation #query: Lifting the Burden of History from Adaptive Query Processing (AD, JMH), pp. 948–959.
SIGMOD-2003-ChandrasekaranCDFHHKMRS #data flow #named: TelegraphCQ: Continuous Dataflow Processing (SC, OC, AD, MJF, JMH, WH, SK, SM, FR, MAS), p. 668.
SIGMOD-2003-DeshpandeNGS #database: Cache-and-Query for Wide Area Sensor Databases (AD, SN, PBG, SS), pp. 503–514.
SIGMOD-2003-DeshpandeNGS03a #named: IrisNet: Internet-scale Resource-Intensive Sensor Services (AD, SN, PBG, SS), p. 667.
VLDB-2003-NathDKGKS #architecture #named: IrisNet: An Architecture for Internet-scale Sensing Services (SN, AD, YK, PBG, BK, SS), pp. 1137–1140.