BibSLEIGH corpus
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Open Knowledge
XHTML 1.0 W3C Rec
CSS 2.1 W3C CanRec
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Travelled to:
1 × Australia
1 × Austria
1 × Chile
1 × Egypt
1 × France
1 × Ireland
1 × Italy
1 × Korea
1 × Norway
2 × Canada
3 × China
5 × USA
Collaborated with:
G.M.Lohman P.J.Haas M.Heimel K.Tzoumas S.Ewen V.Raman S.Schelter A.Alexandrov D.E.Simmen W.Han M.Kandil A.Aboulnaga C.Boden U.Jugel Z.Jerzak G.Hackenbroich F.Hueske M.Schubotz H.Kache I.F.Ilyas H.Pirahesh M.Saecker M.Kutsch T.M.Tran N.Megiddo M.Kiefer D.Warneke M.Altinel A.Singh P.Brown I.Popivanov F.Ramsak R.Fenk K.Elhardt R.Bayer A.Katsifodimos A.Youssef H.S.Cohl M.Kaufmann M.Stillger O.Kao M.Schenck H.Pirk S.Manegold S.Padmanabhan W.Kwak J.Lee J.Ng P.G.Brown S.Breß B.Kocher G.Saake U.Srivastava M.Zirkel M.Schwarzer N.Meuschke C.Breitinger B.Gipp S.Dudoladov C.Xu T.Karnagel M.Hille M.Ludwig D.Habich W.Lehner M.Vrhovnik H.Schwarz O.Suhre B.Mitschang A.Maier T.Kraft A.Lerner D.C.Zilio S.Lightstone A.Kunft F.Schüler L.Thamsen T.Herb D.Battré E.Nijkamp N.Karayannidis A.Tsois T.K.Sellis R.Pieringer S.Cline R.Kartha E.Louie L.Mau Y.Ng
Talks about:
data (12) optim (8) process (7) queri (7) parallel (6) progress (4) action (4) statist (3) estim (3) iter (3)

Person: Volker Markl

DBLP DBLP: Markl:Volker

Contributed to:

SIGIR 20152015
SIGMOD 20152015
SIGMOD 20142014
VLDB 20142014
RecSys 20132013
SIGMOD 20132013
VLDB 20132013
RecSys 20122012
VLDB 20122012
VLDB 20102010
SIGMOD 20082008
VLDB 20082008
SIGMOD 20072007
VLDB 20072007
SIGMOD 20062006
VLDB 20062006
SIGMOD 20052005
VLDB 20052005
SIGMOD 20042004
VLDB 20042004
SIGMOD 20022002
VLDB 20022002
VLDB 20012001
VLDB 20002000
JCDL 20162016

Wrote 36 papers:

SIGIR-2015-SchubotzYMC #challenge #information retrieval #wiki
Challenges of Mathematical Information Retrievalin the NTCIR-11 Math Wikipedia Task (MS, AY, VM, HSC), pp. 951–954.
SIGMOD-2015-AlexandrovKKSTK #parallel
Implicit Parallelism through Deep Language Embedding (AA, AK, AK, FS, LT, OK, TH, VM), pp. 47–61.
Optimistic Recovery for Iterative Dataflows in Action (SD, CX, SS, AK, SE, KT, VM), pp. 1439–1443.
SIGMOD-2015-HeimelKM #estimation #kernel #modelling #multi #self
Self-Tuning, GPU-Accelerated Kernel Density Models for Multidimensional Selectivity Estimation (MH, MK, VM), pp. 1477–1492.
SIGMOD-2014-KarnagelHLHLHM #performance #query
Demonstrating efficient query processing in heterogeneous environments (TK, MH, ML, DH, WL, MH, VM), pp. 693–696.
VLDB-2014-BressHSKMS #hardware #named
Ocelot/HyPE: Optimized Data Processing on Heterogeneous Hardware (SB, MH, MS, BK, VM, GS), pp. 1609–1612.
VLDB-2014-JugelJHM #performance #visual notation
Faster Visual Analytics through Pixel-Perfect Aggregation (UJ, ZJ, GH, VM), pp. 1705–1708.
VLDB-2014-JugelJM #named #visualisation
M4: A Visualization-Oriented Time Series Data Aggregation (UJ, ZJ, GH, VM), pp. 797–808.
VLDB-2014-Markl #big data #data analysis #declarative #independence
Breaking the Chains: On Declarative Data Analysis and Data Independence in the Big Data Era (VM), pp. 1730–1733.
RecSys-2013-SchelterBSAM #distributed #matrix #pipes and filters #using
Distributed matrix factorization with mapreduce using a series of broadcast-joins (SS, CB, MS, AA, VM), pp. 281–284.
SIGMOD-2013-EwenSTWM #parallel
Iterative parallel data processing with stratosphere: an inside look (SE, SS, KT, DW, VM), pp. 1053–1056.
VLDB-2013-HeimelSPMM #in memory #parallel
Hardware-Oblivious Parallelism for In-Memory Column-Stores (MH, MS, HP, SM, VM), pp. 709–720.
RecSys-2012-SchelterBM #pipes and filters #scalability #similarity
Scalable similarity-based neighborhood methods with MapReduce (SS, CB, VM), pp. 163–170.
VLDB-2012-AlexandrovTM #generative #named #scalability
Myriad: Scalable and Expressive Data Generation (AA, KT, VM), pp. 1890–1893.
VLDB-2012-EwenTKM #data flow #performance
Spinning Fast Iterative Data Flows (SE, KT, MK, VM), pp. 1268–1279.
VLDB-2010-AlexandrovBEHHKMNW #data analysis #parallel
Massively Parallel Data Analysis with PACTs on Nephele (AA, DB, SE, MH, FH, OK, VM, EN, DW), pp. 1625–1628.
SIGMOD-2008-SimmenAMPS #intranet #named
Damia: data mashups for intranet applications (DES, MA, VM, SP, AS), pp. 1171–1182.
VLDB-2008-HanKLLM #optimisation #query
Parallelizing query optimization (WSH, WK, JL, GML, VM), pp. 188–200.
SIGMOD-2007-HanNMKK #database #optimisation #parallel
Progressive optimization in a shared-nothing parallel database (WSH, JN, VM, HK, MK), pp. 809–820.
VLDB-2007-AltinelBCKLMMNSS #intranet #named
DAMIA — A Data Mashup Fabric for Intranet Applications (MA, PB, SC, RK, EL, VM, LM, YHN, DES, AS), pp. 1370–1373.
VLDB-2007-HaasHM #dependence #detection #feedback #query
Detecting Attribute Dependencies from Query Feedback (PJH, FH, VM), pp. 830–841.
VLDB-2007-VrhovnikSSMMMK #approach #process
An Approach to Optimize Data Processing in Business Processes (MV, HS, OS, BM, VM, AM, TK), pp. 615–626.
SIGMOD-2006-MarklKTHM #consistency #estimation #named
MAXENT: consistent cardinality estimation in action (VM, MK, TMT, PJH, NM), pp. 775–777.
VLDB-2006-KacheHMRE #named #optimisation #query
POP/FED: Progressive Query Optimization for Federated Queries in DB2 (HK, WSH, VM, VR, SE), pp. 1175–1178.
SIGMOD-2005-HaasKLMPRZ #automation #statistics
Automated statistics collection in action (PJH, MK, AL, VM, IP, VR, DCZ), pp. 933–935.
Consistently Estimating the Selectivity of Conjuncts of Predicates (VM, NM, MK, TMT, PJH, US), pp. 373–384.
SIGMOD-2004-IlyasMHBA #automation #correlation #dependence #functional #named
CORDS: Automatic Discovery of Correlations and Soft Functional Dependencies (IFI, VM, PJH, PB, AA), pp. 647–658.
SIGMOD-2004-MarklRSLP #optimisation #query #robust
Robust Query Processing through Progressive Optimization (VM, VR, DES, GML, HP), pp. 659–670.
VLDB-2004-AboulnagaHLLMPR #automation #statistics
Automated Statistics Collection in DB2 UDB (AA, PJH, SL, GML, VM, IP, VR), pp. 1146–1157.
VLDB-2004-IlyasMHBA #automation #correlation #generative #named #statistics
CORDS: Automatic Generation of Correlation Statistics in DB2 (IFI, VM, PJH, PGB, AA), pp. 1341–1344.
VLDB-2004-RamanMSLP #optimisation
Progressive Optimization in Action (VR, VM, DES, GML, HP), pp. 1337–1340.
SIGMOD-2002-MarklL #learning
Learning table access cardinalities with LEO (VM, GML), p. 613.
VLDB-2002-KarayannidisTSPMRFEB #clustering #query
Processing Star Queries on Hierarchically-Clustered Fact Tables (NK, AT, TKS, RP, VM, FR, RF, KE, RB), pp. 730–741.
VLDB-2001-StillgerLMK #learning #named
LEO — DB2’s LEarning Optimizer (MS, GML, VM, MK), pp. 19–28.
VLDB-2000-RamsakMFZEB #database #kernel
Integrating the UB-Tree into a Database System Kernel (FR, VM, RF, MZ, KE, RB), pp. 263–272.
JCDL-2016-SchwarzerSMBMG #recommendation #wiki
Evaluating Link-based Recommendations for Wikipedia (MS, MS, NM, CB, VM, BG), pp. 191–200.

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.