Travelled to:1 × Australia
1 × Canada
1 × Chile
1 × China
1 × Italy
1 × Japan
1 × United Kingdom
2 × Greece
3 × USA
Collaborated with:S.Abiteboul A.Souihli M.Benedikt G.Gottlob Y.Amsterdamer T.Milo P.Bourhis S.Maniu Y.Grossman A.Amarilli G.Gouriten M.L.Ba T.Abdessalem F.M.Suchanek E.Kharlamov D.Olteanu S.Lei L.Mo R.Cheng J.Lu C.Lin X.Du S.Wang X.Chen T.Risse S.Dietze W.Peters K.Doka Y.Stavrakas
Talks about:probabilist (5) xml (4) instanc (3) crowd (3) tree (3) complex (2) schema (2) queri (2) appro (2) mine (2)
Person: Pierre Senellart
DBLP: Senellart:Pierre
Contributed to:
2015
2015
2014
2013
2013
2013
201220122012
20122011
20112011201020082007Wrote 17 papers:
- ICALP-v2-2015-AmarilliBS
- Provenance Circuits for Trees and Treelike Instances (AA, PB, PS), pp. 56–68.
- KDD-2015-LeiMMCS #online
- Online Influence Maximization (SL, SM, LM, RC, PS), pp. 645–654.
- HT-2014-GouritenMS #adaptation #crawling #scalability
- Scalable, generic, and adaptive systems for focused crawling (GG, SM, PS), pp. 35–45.
- DocEng-2013-BaAS #collaboration #documentation #editing #nondeterminism #version control
- Uncertain version control in open collaborative editing of tree-structured documents (MLB, TA, PS), pp. 27–36.
- SIGMOD-2013-AmsterdamerGMS #mining
- Crowd mining (YA, YG, TM, PS), pp. 241–252.
- VLDB-2013-AmsterdamerGMS #mining #named
- CrowdMiner: Mining association rules from the crowd (YA, YG, TM, PS), pp. 1250–1253.
- CIKM-2012-SouihliS #predict #probability #query #xml
- Demonstrating ProApproX 2.0: a predictive query engine for probabilistic XML (AS, PS), pp. 2734–2736.
- ICALP-v2-2012-BenediktBS #datalog #monad
- Monadic Datalog Containment (MB, PB, PS), pp. 79–91.
- SIGMOD-2012-AbiteboulAMS #learning #xml
- Auto-completion learning for XML (SA, YA, TM, PS), pp. 669–672.
- SIGMOD-2012-LuSLDWC #generative
- Optimal top-k generation of attribute combinations based on ranked lists (JL, PS, CL, XD, SW, XC), pp. 409–420.
- TPDL-2012-RisseDPDSS #semantics #social #web
- Exploiting the Social and Semantic Web for Guided Web Archiving (TR, SD, WP, KD, YS, PS), pp. 426–432.
- VLDB-2012-SuchanekAS11 #named #probability
- PARIS: Probabilistic Alignment of Relations, Instances, and Schema (FMS, SA, PS), pp. 157–168.
- PODS-2011-BenediktGS #runtime
- Determining relevance of accesses at runtime (MB, GG, PS), pp. 211–222.
- SIGMOD-2011-SenellartS #approximate #lightweight #named #probability #query
- ProApproX: a lightweight approximation query processor over probabilistic trees (PS, AS), pp. 1295–1298.
- VLDB-2010-BenediktKOS #markov #probability #xml
- Probabilistic XML via Markov Chains (MB, EK, DO, PS), pp. 770–781.
- PODS-2008-SenellartG #complexity #database #on the
- On the complexity of deriving schema mappings from database instances (PS, GG), pp. 23–32.
- PODS-2007-SenellartA #complexity #on the #probability #xml
- On the complexity of managing probabilistic XML data (PS, SA), pp. 283–292.