Travelled to:1 × Greece
2 × USA
Collaborated with:J.M.Hellerstein M.N.Garofalakis K.Li Y.Chen M.J.Franklin A.Dobra C.Dudley E.Michelakis C.E.Grant J.Gumbs G.Chitouras M.L.Wick M.J.Cafarella A.Y.Halevy E.Wu Y.Zhang C.Ré F.Schoppmann E.Fratkin A.Gorajek K.S.Ng C.Welton X.Feng A.Kumar
Talks about:probabilist (3) analyt (3) parallel (2) knowledg (2) extract (2) databas (2) inform (2) queri (2) tabl (2) data (2)
Person: Daisy Zhe Wang
DBLP: Wang:Daisy_Zhe
Contributed to:
2015
2014
20122012201120102008Wrote 8 papers:
- VLDB-2015-LiWDD #framework #named
- UDA-GIST: An In-database Framework to Unify Data-Parallel and State-Parallel Analytics (KL, DZW, AD, CD), pp. 557–568.
- SIGMOD-2014-ChenW #knowledge base #probability
- Knowledge expansion over probabilistic knowledge bases (YC, DZW), pp. 649–660.
- CIKM-2012-GrantGLWC #named #statistics
- MADden: query-driven statistical text analytics (CEG, JdG, KL, DZW, GC), pp. 2740–2742.
- VLDB-2012-HellersteinRSWFGNWFLK #library #sql
- The MADlib Analytics Library or MAD Skills, the SQL (JMH, CR, FS, DZW, EF, AG, KSN, CW, XF, KL, AK), pp. 1700–1711.
- SIGMOD-2011-WangFGHW #declarative #hybrid #information management
- Hybrid in-database inference for declarative information extraction (DZW, MJF, MNG, JMH, MLW), pp. 517–528.
- VLDB-2010-WangFGH #information management #probability #query
- Querying Probabilistic Information Extraction (DZW, MJF, MNG, JMH), pp. 1057–1067.
- VLDB-2008-CafarellaHWWZ #named #power of #web
- WebTables: exploring the power of tables on the web (MJC, AYH, DZW, EW, YZ), pp. 538–549.
- VLDB-2008-WangMGH #modelling #named #nondeterminism #probability #repository #scalability #visual notation
- BayesStore: managing large, uncertain data repositories with probabilistic graphical models (DZW, EM, MNG, JMH), pp. 340–351.