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Travelled to:
1 × Austria
1 × Chile
1 × China
1 × Egypt
1 × Hungary
1 × Italy
1 × Norway
1 × Spain
1 × United Kingdom
18 × USA
2 × Canada
2 × France
Collaborated with:
E.M.Knorr L.V.S.Lakshmanan K.Shim J.Han V.S.Subrahmanian H.Lee H.V.Jagadish T.K.Sellis T.Johnson X.Zhou C.Faloutsos G.Carenini R.H.Zamar D.Srivastava Y.Cai L.Chen J.M.Phan A.Pang J.Yang G.Ramesh S.Bu A.T.Kwon H.H.Hoos J.Wijsen T.Calders J.Madar I.Kwok E.Zwart J.Chilson A.Wagner S.Lin M.T.Özsu V.Oria M.M.Breunig H.Kriegel J.Sander T.Mah O.Kapitskaia C.Bell A.Nerode Y.E.Ioannidis C.X.Wang
Talks about:
base (6) distanc (5) estim (5) mine (5) outlier (4) databas (4) semant (4) queri (4) data (4) dimension (3)

Person: Raymond T. Ng

DBLP DBLP: Ng:Raymond_T=

Contributed to:

VLDB 20112011
VLDB 20092009
VLDB 20072007
KDD 20052005
SAC 20052005
SIGMOD 20052005
VLDB 20052005
KDD 20042004
SIGMOD 20042004
VLDB 20042004
SAC 20032003
SIGMOD 20022002
VLDB 20022002
KDD 20012001
VLDB 20012001
SIGMOD 20002000
VLDB 20002000
KDD 19991999
PODS 19991999
SIGMOD 19991999
VLDB 19991999
KDD 19981998
SIGMOD 19981998
VLDB 19981998
KDD 19971997
KDD 19961996
VLDB 19941994
ICLP 19931993
PODS 19921992
VLDB 19921992
ICLP 19911991
ILPS 19911991
SIGMOD 19911991
VLDB 19911991

Wrote 38 papers:

VLDB-2011-LeeNS #estimation #locality #similarity #using
Similarity Join Size Estimation using Locality Sensitive Hashing (HL, RTN, KS), pp. 338–349.
VLDB-2009-LeeNS #estimation #set #similarity
Power-Law Based Estimation of Set Similarity Join Size (HL, RTN, KS), pp. 658–669.
VLDB-2007-LeeNS #distance #edit distance #string
Extending Q-Grams to Estimate Selectivity of String Matching with Low Edit Distance (HL, RTN, KS), pp. 195–206.
KDD-2005-CareniniNZ #email #scalability
Scalable discovery of hidden emails from large folders (GC, RTN, XZ), pp. 544–549.
SAC-2005-CareniniNZZ #email
Discovery and regeneration of hidden emails (GC, RTN, XZ, EZ), pp. 503–510.
SIGMOD-2005-LakshmananNR
To Do or Not To Do: The Dilemma of Disclosing Anonymized Data (LVSL, RTN, GR), pp. 61–72.
VLDB-2005-BuLN #summary
MDL Summarization with Holes (SB, LVSL, RTN), pp. 433–444.
KDD-2004-ChilsonNWZ #correlation #matrix #parallel #robust
Parallel computation of high dimensional robust correlation and covariance matrices (JC, RTN, AW, RHZ), pp. 533–538.
SIGMOD-2004-NgC
Indexing Spatio-Temporal Trajectories with Chebyshev Polynomials (YC, RTN), pp. 599–610.
VLDB-2004-ChenN #distance #edit distance #on the
On The Marriage of Lp-norms and Edit Distance (LC, RTN), pp. 792–803.
SAC-2003-KwonHN
Inference of Transcriptional Regulation Relationships from Gene Expression Data (ATJK, HHH, RTN), pp. 135–140.
SIGMOD-2002-PhanN #analysis #named #tool support
GEA: a toolkit for gene expression analysis (JMP, RTN), p. 628.
VLDB-2002-LakshmananNWZJ #approach #summary
The Generalized MDL Approach for Summarization (LVSL, RTN, CXW, XZ, TJ), pp. 766–777.
KDD-2001-KnorrNZ #robust
Robust space transformations for distance-based operations (EMK, RTN, RHZ), pp. 126–135.
VLDB-2001-OzsuLON #database #image #multi #query #similarity
An Extendible Hash for Multi-Precision Similarity Querying of Image Databases (SL, MTÖ, VO, RTN), pp. 221–230.
SIGMOD-2000-BreunigKNS #identification #named
LOF: Identifying Density-Based Local Outliers (MMB, HPK, RTN, JS), pp. 93–104.
VLDB-2000-LakshmananJN #algebra #data mining #mining
The 3W Model and Algebra for Unified Data Mining (TJ, LVSL, RTN), pp. 21–32.
KDD-1999-WijsenNC #dependence
Discovering Roll-Up Dependencies (JW, RTN, TC), pp. 213–222.
PODS-1999-JagadishNS #estimation #string
Substring Selectivity Estimation (HVJ, RTN, DS), pp. 249–260.
SIGMOD-1999-LakshmananNHP #constraints #optimisation #query #set
Optimization of Constrained Frequent Set Queries with 2-variable Constraints (LVSL, RTN, JH, AP), pp. 157–168.
SIGMOD-1999-NgLHM #mining #query #set
Exploratory Mining via Constrained Frequent Set Queries (RTN, LVSL, JH, TM), pp. 556–558.
VLDB-1999-JagadishKNS #estimation #multi #string
Multi-Dimensional Substring Selectivity Estimation (HVJ, OK, RTN, DS), pp. 387–398.
VLDB-1999-JagadishMN #semantics
Semantic Compression and Pattern Extraction with Fascicles (HVJ, JM, RTN), pp. 186–198.
VLDB-1999-KnorrN
Finding Intensional Knowledge of Distance-Based Outliers (EMK, RTN), pp. 211–222.
KDD-1998-JohnsonKN #2d #performance
Fast Computation of 2-Dimensional Depth Contours (TJ, IK, RTN), pp. 224–228.
SIGMOD-1998-NgLHP #mining #optimisation
Exploratory Mining and Pruning Optimizations of Constrained Association Rules (RTN, LVSL, JH, AP), pp. 13–24.
VLDB-1998-KnorrN #algorithm #dataset #mining #scalability
Algorithms for Mining Distance-Based Outliers in Large Datasets (EMK, RTN), pp. 392–403.
KDD-1997-KnorrN
A Unified Notion of Outliers: Properties and Computation (EMK, RTN), pp. 219–222.
KDD-1996-KnorrN #concept #proximity
Extraction of Spatial Proximity Patterns by Concept Generalization (EMK, RTN), pp. 347–350.
VLDB-1994-NgH #clustering #data mining #effectiveness #mining #performance
Efficient and Effective Clustering Methods for Spatial Data Mining (RTN, JH), pp. 144–155.
VLDB-1994-NgY #on-demand
Maximizing Buffer and Disk Utilizations for News On-Demand (RTN, JY), pp. 451–462.
ICLP-1993-Ng #consistency #database #empirical #semantics
Semantics and Consistency of Empirical Databases (RTN), pp. 812–826.
PODS-1992-BellNNS #database #deduction #implementation #linear #programming
Implementing Deductive Databases by Linear Programming (CB, AN, RTN, VSS), pp. 283–292.
VLDB-1992-IoannidisNSS #optimisation #parametricity #query
Parametric Query Optimization (YEI, RTN, KS, TKS), pp. 103–114.
ICLP-1991-NgS #database #deduction #framework #semantics
A Semantical Framework for Supporting Subjective and Conditional Probabilities in Deductive Databases (RTN, VSS), pp. 565–580.
ISLP-1991-NgS #semantics
Relating Dempster-Shafer Theory to Stable Semantics (RTN, VSS), pp. 551–565.
SIGMOD-1991-NgFS #flexibility
Flexible Buffer Allocation Based on Marginal Gains (RTN, CF, TKS), pp. 387–396.
VLDB-1991-FaloutsosNS #flexibility #predict
Predictive Load Control for Flexible Buffer Allocation (CF, RTN, TKS), pp. 265–274.

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