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Travelled to:
1 × Australia
1 × Ireland
1 × Japan
14 × USA
2 × Canada
2 × China
2 × Germany
Collaborated with:
M.Lee B.Liu Y.Ma W.Chen L.H.Yang F.Li S.Chen C.Xia G.Zhao K.L.Teo G.L.Y.San D.Patel M.Zhang J.Wang J.Dai B.Fang M.Hu K.G.Goh W.Tan J.Chen S.Ng X.Guo B.C.Chua K.Tan X.Yang T.W.Ling H.Hu C.S.Jensen B.Cui B.C.Ooi P.K.Mohanty
Talks about:
mine (11) rule (8) recommend (5) pattern (4) databas (4) effici (4) discov (4) associ (4) base (4) xml (4)

Person: Wynne Hsu

DBLP DBLP: Hsu:Wynne

Contributed to:

SIGMOD 20152015
KDD 20142014
CIKM 20132013
KDD 20132013
SIGIR 20132013
ICPR 20122012
SIGIR 20122012
SIGIR 20112011
SIGMOD 20082008
KDD 20062006
CIKM 20052005
KDD 20042004
KDD 20032003
VLDB 20032003
CIKM 20022002
KDD 20022002
VLDB 20022002
KDD 20012001
KDD 20002000
SIGMOD 20002000
KDD 19991999
KDD 19981998
KDD 19971997

Wrote 32 papers:

SIGMOD-2015-LiLHT #profiling
Linking Temporal Records for Profiling Entities (FL, MLL, WH, WCT), pp. 593–605.
KDD-2014-LiLH #profiling
Entity profiling with varying source reliabilities (FL, MLL, WH), pp. 1146–1155.
CIKM-2013-ZhaoLHCH #network #recommendation #social
Community-based user recommendation in uni-directional social networks (GZ, MLL, WH, WC, HH), pp. 189–198.
KDD-2013-ChenHL #multi #recommendation
Making recommendations from multiple domains (WC, WH, MLL), pp. 892–900.
SIGIR-2013-ChenHL #modelling #recommendation
Modeling user’s receptiveness over time for recommendation (WC, WH, MLL), pp. 373–382.
SIGIR-2013-ChenHL13a #feedback #recommendation
Tagcloud-based explanation with feedback for recommender systems (WC, WH, MLL), pp. 945–948.
ICPR-2012-SanLH #detection
Constrained-MSER detection of retinal pathology (GLYS, MLL, WH), pp. 2059–2062.
SIGIR-2012-ZhaoLHC
Increasing temporal diversity with purchase intervals (GZ, MLL, WH, WC), pp. 165–174.
SIGIR-2011-WeiHL #analysis #framework #recommendation #semantics
A unified framework for recommendations based on quaternary semantic analysis (WC, WH, MLL), pp. 1023–1032.
SIGMOD-2008-PatelHL #classification #mining
Mining relationships among interval-based events for classification (DP, WH, MLL), pp. 393–404.
KDD-2006-ChenHLN #interactive #named #network
NeMoFinder: dissecting genome-wide protein-protein interactions with meso-scale network motifs (JC, WH, MLL, SKN), pp. 106–115.
KDD-2006-ZhangHL #mining
Mining progressive confident rules (MZ, WH, MLL), pp. 803–808.
CIKM-2005-WangHL #database #framework #mining
A framework for mining topological patterns in spatio-temporal databases (JW, WH, MLL), pp. 429–436.
CIKM-2005-XiaHL #estimation #named #nearest neighbour #performance #retrieval
ERkNN: efficient reverse k-nearest neighbors retrieval with local kNN-distance estimation (CX, WH, MLL), pp. 533–540.
KDD-2004-YangLHG #mining #named #performance #query #xml
2PXMiner: an efficient two pass mining of frequent XML query patterns (LHY, MLL, WH, XG), pp. 731–736.
KDD-2003-HsuDL #database #image #mining
Mining viewpoint patterns in image databases (WH, JD, MLL), pp. 553–558.
VLDB-2003-LeeHJT #approach #bottom-up
Supporting Frequent Updates in R-Trees: A Bottom-Up Approach (MLL, WH, CSJ, BC, KLT), pp. 608–619.
VLDB-2003-YangLH #mining #performance #query #xml
Efficient Mining of XML Query Patterns for Caching (LHY, MLL, WH), pp. 69–80.
CIKM-2002-LeeCHT #evaluation #multi #performance #query #streaming #xml
Efficient evaluation of multiple queries on streaming XML data (MLL, BCC, WH, KLT), pp. 118–125.
CIKM-2002-LeeYHY #clustering #effectiveness #integration #named #xml
XClust: clustering XML schemas for effective integration (MLL, LHY, WH, XY), pp. 292–299.
KDD-2002-FangHL #identification #using
Tumor cell identification using features rules (BF, WH, MLL), pp. 495–500.
VLDB-2002-HsuLOMTX #database
Advanced Database Technologies in a Diabetic Healthcare System (WH, MLL, BCO, PKM, KLT, CX), pp. 1059–1062.
KDD-2001-LiuHM #identification
Identifying non-actionable association rules (BL, WH, YM), pp. 329–334.
KDD-2001-LiuHM01a #set
Discovering the set of fundamental rule changes (BL, WH, YM), pp. 335–340.
KDD-2000-HsuLLL #database #mining
Exploration mining in diabetic patients databases: findings and conclusions (WH, MLL, BL, TWL), pp. 430–436.
KDD-2000-LiuHH #multi #summary
Multi-level organization and summarization of the discovered rules (BL, MH, WH), pp. 208–217.
SIGMOD-2000-HsuLG #image #information management #mining
Image Mining in IRIS: Integrated Retinal Information System (WH, MLL, KGG), p. 593.
KDD-1999-LiuHM
Pruning and Summarizing the Discovered Associations (BL, WH, YM), pp. 125–134.
KDD-1999-LiuHM99a #mining #multi
Mining Association Rules with Multiple Minimum Supports (BL, WH, YM), pp. 337–341.
KDD-1999-LiuHMC #mining #using
Mining Interesting Knowledge Using DM-II (BL, WH, YM, SC), pp. 430–434.
KDD-1998-LiuHM #classification #mining
Integrating Classification and Association Rule Mining (BL, WH, YM), pp. 80–86.
KDD-1997-LiuHC #classification #using
Using General Impressions to Analyze Discovered Classification Rules (BL, WH, SC), pp. 31–36.

Bibliography of Software Language Engineering in Generated Hypertext (BibSLEIGH) is created and maintained by Dr. Vadim Zaytsev.
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