Travelled to:
1 × Australia
1 × Austria
1 × Canada
1 × Korea
7 × USA
Collaborated with:
N.Mamoulis B.Kao S.Yiu L.Sun R.Cheng C.K.Chui E.Lo W.K.Wong J.Han Z.Lu C.Wan S.Zhang W.Lian J.Shi D.Wu J.Cheng X.Zhang Y.Shou Y.Zhang X.Li B.Jiang J.Pei X.Lin E.Hung W.Ho S.D.Lee H.Cao G.Kollios M.Hadjieleftheriou Y.Tao
Talks about:
mine (5) data (5) olap (3) base (3) sequenc (2) system (2) social (2) peer (2) spatiotempor (1) probabilist (1)
Person: David W. Cheung
DBLP: Cheung:David_W=
Contributed to:
Wrote 14 papers:
- SIGIR-2014-LuMC #topic
- A collective topic model for milestone paper discovery (ZL, NM, DWC), pp. 1019–1022.
- SIGMOD-2014-ShiMWC #clustering #network
- Density-based place clustering in geo-social networks (JS, NM, DW, DWC), pp. 99–110.
- VLDB-2013-ZhangWYMC #integration #lightweight #peer-to-peer #privacy
- Lightweight Privacy-Preserving Peer-to-Peer Data Integration (YZ, WKW, SMY, NM, DWC), pp. 157–168.
- CIKM-2012-WanKC #recommendation #social
- Location-sensitive resources recommendation in social tagging systems (CW, BK, DWC), pp. 1960–1964.
- VLDB-2011-SunCLCH #on the #similarity
- On Link-based Similarity Join (LS, RC, XL, DWC, JH), pp. 714–725.
- KDD-2010-SunCCC #mining #nondeterminism #probability
- Mining uncertain data with probabilistic guarantees (LS, RC, DWC, JC), pp. 273–282.
- SIGMOD-2010-ChuiKLC #named #sequence
- S-OLAP: an OLAP system for analyzing sequence data (CKC, BK, EL, DWC), pp. 1131–1134.
- SIGMOD-2009-ZhangMC #clustering #scalability #using
- Scalable skyline computation using object-based space partitioning (SZ, NM, DWC), pp. 483–494.
- KDD-2008-JiangPLCH #mining
- Mining preferences from superior and inferior examples (BJ, JP, XL, DWC, JH), pp. 390–398.
- SIGMOD-2008-LoKHLCC #sequence
- OLAP on sequence data (EL, BK, WSH, SDL, CKC, DWC), pp. 649–660.
- SAC-2007-LianCY #database #maintenance #scalability
- Maintenance of maximal frequent itemsets in large databases (WL, DWC, SMY), pp. 388–392.
- VLDB-2007-WongCHKM #mining #outsourcing #security
- Security in Outsourcing of Association Rule Mining (WKW, DWC, EH, BK, NM), pp. 111–122.
- KDD-2004-MamoulisCKHTC #mining #query
- Mining, indexing, and querying historical spatiotemporal data (NM, HC, GK, MH, YT, DWC), pp. 236–245.
- KDD-2004-ZhangMCS #mining #performance
- Fast mining of spatial collocations (XZ, NM, DWC, YS), pp. 384–393.