BibSLEIGH — Min

Travelled to:

1 × Australia
1 × Austria
1 × Egypt
1 × Germany
1 × Greece
1 × Norway
1 × Spain
1 × United Kingdom
10 × USA
4 × China

Collaborated with:

J.S.Vitter L.Lim P.Luo J.Wang H.Wang A.Kementsietsidis X.S.Wang W.Shen H.Fang Y.Matias W.Hasan X.Liu C.Yao C.Li L.Tang L.Zhang O.Hassanzadeh R.J.Miller K.C.Chang X.Zhang L.Chen P.Zhao C.C.Aggarwal L.Gao B.R.Iyer P.Yin W.Lee F.Chen X.Pu W.Zheng M.Yang Z.Lin Y.Zou B.Xie L.Jiang N.An X.Jiang Y.Yu Y.Li F.Li K.Yi B.Yao S.Padmanabhan R.Parr R.Xin Z.Zhang S.Hwang C.A.Lang Y.Chang E.Chen L.Jiao G.Liu

Talks about:

data (9) queri (8) base (7) histogram (6) wavelet (4) search (4) entiti (4) estim (4) use (4) enterpris (3)

Person: Min Wang

DBLP: Wang:Min

Facilitated 1 volumes:

Contributed to:

2015

2013

2012

2011

2010

2009

2007

2006

2005

2003

2002

2000

1999

1998

2019

Wrote 34 papers:

KDD-2015-HasanW: Data Science at Visa (WH, MW), p. 1627.
KDD-2013-ShenWLW #knowledge base #modelling #twitter: Linking named entities in Tweets with knowledge base via user interest modeling (WS, JW, PL, MW), pp. 68–76.
KDD-2013-YinLLW #perspective #recommendation: Silence is also evidence: interpreting dwell time for recommendation from psychological perspective (PY, PL, WCL, MW), pp. 989–997.
CIKM-2012-LiuFCW #enterprise #query: Entity centric query expansion for enterprise search (XL, HF, FC, MW), pp. 1955–1959.
CIKM-2012-ShenWLW #approach #graph #ontology: A graph-based approach for ontology population with named entities (WS, JW, PL, MW), pp. 345–354.
CIKM-2012-TangZLW #mining #quality #recommendation: Incorporating occupancy into frequent pattern mining for high quality pattern recommendation (LT, LZ, PL, MW), pp. 75–84.
KDD-2012-ShenWLW #knowledge base #named #web: LIEGE: : link entities in web lists with knowledge base (WS, JW, PL, MW), pp. 1424–1432.
KDD-2012-ZhangTLCJWL #web: Harnessing the wisdom of the crowds for accurate web page clipping (LZ, LT, PL, EC, LJ, MW, GL), pp. 570–578.
SIGIR-2012-JiangWLAW #alias #approach #detection #learning #similarity #string #towards: Towards alias detection without string similarity: an active learning based approach (LJ, JW, PL, NA, MW), pp. 1155–1156.
VLDB-2012-ZhangCW #multi #performance #pipes and filters #using: Efficient Multi-way Theta-Join Processing Using MapReduce (XZ, LC, MW), pp. 1184–1195.
VLDB-2012-ZhaoAW11 #estimation #graph #named #query #sketching: gSketch: On Query Estimation in Graph Streams (PZ, CCA, MW), pp. 193–204.
CIKM-2011-LiuFYW #enterprise: Finding relevant information of certain types from enterprise data (XL, HF, CY, MW), pp. 47–56.
CIKM-2011-PuWLW #incremental #named #performance #query #rdf: AWETO: efficient incremental update and querying in rdf storage system (XP, JW, PL, MW), pp. 2445–2448.
CIKM-2011-ZhengFYW #enterprise: Search result diversification for enterprise data (WZ, HF, CY, MW), pp. 1901–1904.
KDD-2011-JiangLLWY #sequence: Prominent streak discovery in sequence data (XJ, CL, PL, MW, YY), pp. 1280–1288.
SIGMOD-2011-LiLYYW #flexibility #similarity: Flexible aggregate similarity search (YL, FL, KY, BY, MW), pp. 1009–1020.
SIGMOD-2010-YangWLW #keyword #optimisation #using #web: Optimizing content freshness of relations extracted from the web using keyword search (MY, HW, LL, MW), pp. 819–830.
CIKM-2009-HassanzadehKLMW #framework #relational #semantics: A framework for semantic link discovery over relational data (OH, AK, LL, RJM, MW), pp. 1027–1036.
CIKM-2009-KementsietsidisW #evaluation #query #question #what: Provenance query evaluation: what’s so special about it? (AK, MW), pp. 681–690.
CIKM-2009-LimWW #challenge #database #problem #query #semantics: Semantic queries in databases: problems and challenges (LL, HW, MW), pp. 1505–1508.
VLDB-2009-HassanzadehXMKLW #query: Linkage Query Writer (OH, RX, RJM, AK, LL, MW), pp. 1590–1593.
SIGMOD-2007-LiWLWC #clustering #ranking: Supporting ranking and clustering as generalized order-by and group-by (CL, MW, LL, HW, KCCC), pp. 127–138.
VLDB-2007-LimWW #using: Unifying Data and Domain Knowledge Using Virtual Views (LL, HW, MW), pp. 255–266.
SIGMOD-2006-ZhangHCWLC #database #optimisation #query #ranking: Boolean + ranking: querying a database by k-constrained optimization (ZZ, SwH, KCCC, MW, CAL, YCC), pp. 359–370.
SAC-2005-GaoWW #evaluation #quality #streaming: Quality-driven evaluation of trigger conditions on streaming time series (LG, MW, XSW), pp. 563–567.
VLDB-2005-LimWV #classification #estimation #online #string #xml: CXHist : An On-line Classification-Based Histogram for XML String Selectivity Estimation (LL, MW, JSV), pp. 1187–1198.
VLDB-2003-LimWV #adaptation #named #self #set: SASH: A Self-Adaptive Histogram Set for Dynamically Changing Workloads (LL, MW, JSV), pp. 369–380.
SAC-2002-WangW #approach #data mining #mining #optimisation #query #relational: Optimizing relational store for e-catalog queries: a data mining approach (MW, XSW), pp. 1147–1152.
VLDB-2002-LimWPVP #estimation #markov #named #online #self #xml: XPathLearner: An On-line Self-Tuning Markov Histogram for XML Path Selectivity Estimation (LL, MW, SP, JSV, RP), pp. 442–453.
VLDB-2000-MatiasVW #maintenance: Dynamic Maintenance of Wavelet-Based Histograms (YM, JSV, MW), pp. 101–110.
SIGMOD-1999-VitterW #approximate #multi #using: Approximate Computation of Multidimensional Aggregates of Sparse Data Using Wavelets (JSV, MW), pp. 193–204.
CIKM-1998-VitterWI #approximate: Data Cube Approximation and Histograms via Wavelets (JSV, MW, BRI), pp. 96–104.
SIGMOD-1998-MatiasVW #estimation: Wavelet-Based Histograms for Selectivity Estimation (YM, JSV, MW), pp. 448–459.
ASE-2019-WangLZX #co-evolution #named: CoRA: Decomposing and Describing Tangled Code Changes for Reviewer (MW, ZL, YZ, BX), pp. 1050–1061.