BibSLEIGH — Kyuseok

Travelled to:

1 × Austria
1 × Chile
1 × China
1 × Egypt
1 × Greece
1 × India
1 × Ireland
1 × Italy
1 × Norway
1 × Switzerland
1 × United Kingdom
2 × Canada
9 × USA

Collaborated with:

R.Rastogi S.Chaudhuri S.Guha R.T.Ng M.N.Garofalakis J.Min H.Lee R.Agrawal Y.Park Y.Kim ∅ H.Park C.Kim J.Woo C.Chung N.Koudas S.Ramaswamy S.Brin A.Natsev D.Hyun K.Chakrabarti K.Lin H.S.Sawhney Y.E.Ioannidis T.K.Sellis A.Gionis S.Seshadri

Talks about:

algorithm (10) data (8) queri (7) databas (6) effici (5) optim (5) mine (5) use (5) approxim (4) similar (4)

Person: Kyuseok Shim

DBLP: Shim:Kyuseok

Contributed to:

2015

2013

2012

2011

2009

2007

2005

2004

2002

2001

2000

1999

1998

1996

1995

1994

1993

1992

Wrote 30 papers:

VLDB-2015-ParkMS #pipes and filters #probability #query #using: Processing of Probabilistic Skyline Queries Using MapReduce (YP, JKM, KS), pp. 1406–1417.
SIGMOD-2013-KimS #algorithm #approximate #performance #string: Efficient top-k algorithms for approximate substring matching (YK, KS), pp. 385–396.
VLDB-2013-ParkMS #parallel #pipes and filters #query #using: Parallel Computation of Skyline and Reverse Skyline Queries Using MapReduce (YP, JKM, KS), pp. 2002–2013.
VLDB-2012-Shim #algorithm #big data #data analysis #pipes and filters: MapReduce Algorithms for Big Data Analysis (KS), pp. 2016–2017.
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.
SIGMOD-2007-ParkS #algorithm #approximate: Approximate algorithms for K-anonymity (HP, KS), pp. 67–78.
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.
VLDB-2005-GuhaS #algorithm #data type #performance: Offline and Data Stream Algorithms for Efficient Computation of Synopsis Structures (SG, KS), p. 1364.
VLDB-2004-GuhaKS #approximate #named #streaming: XWAVE: Approximate Extended Wavelets for Streaming Data (SG, CK, KS), pp. 288–299.
VLDB-2004-GuhaSW #algorithm #fault #named: REHIST: Relative Error Histogram Construction Algorithms (SG, KS, JW), pp. 300–311.
SIGMOD-2002-ChungMS #adaptation #named #xml: APEX: an adaptive path index for XML data (CWC, JKM, KS), pp. 121–132.
STOC-2001-GuhaKS: Data-streams and histograms (SG, NK, KS), pp. 471–475.
VLDB-2001-ChaudhuriS #database #relational #retrieval #using #xml: Storage and Retrieval of XML Data Using Relational Databases (SC, KS).
KDD-2000-GarofalakisHRS #algorithm #constraints #performance: Efficient algorithms for constructing decision trees with constraints (MNG, DH, RR, KS), pp. 335–339.
SIGMOD-2000-GarofalakisGRSS #documentation #named #xml: XTRACT: A System for Extracting Document Type Descriptors from XML Documents (MNG, AG, RR, SS, KS), pp. 165–176.
SIGMOD-2000-RamaswamyRS #algorithm #mining #performance #scalability #set: Efficient Algorithms for Mining Outliers from Large Data Sets (SR, RR, KS), pp. 427–438.
VLDB-2000-ChakrabartiGRS #approximate #query #using: Approximate Query Processing Using Wavelets (KC, MNG, RR, KS), pp. 111–122.
KDD-1999-BrinRS #mining: Mining Optimized Gain Rules for Numeric Attributes (SB, RR, KS), pp. 135–144.
KDD-T-1999-RastogiS #algorithm #database #mining #scalability: Scalable Algorithms for Mining Large Databases (RR, KS), pp. 73–140.
SIGMOD-1999-NatsevRS #algorithm #database #image #named #retrieval #similarity: WALRUS: A Similarity Retrieval Algorithm for Image Databases (AN, RR, KS), pp. 395–406.
VLDB-1999-GarofalakisRS #constraints #mining #named #regular expression: SPIRIT: Sequential Pattern Mining with Regular Expression Constraints (MNG, RR, KS), pp. 223–234.
SIGMOD-1998-GuhaRS #algorithm #clustering #database #named #performance #scalability: CURE: An Efficient Clustering Algorithm for Large Databases (SG, RR, KS), pp. 73–84.
VLDB-1998-RastogiS #classification #named: PUBLIC: A Decision Tree Classifier that Integrates Building and Pruning (RR, KS), pp. 404–415.
KDD-1996-AgrawalS #data mining #database #mining #relational: Developing Tightly-Coupled Data Mining Applications on a Relational Database System (RA, KS), pp. 287–290.
VLDB-1996-ChaudhuriS #optimisation #query: Optimization of Queries with User-defined Predicates (SC, KS), pp. 87–98.
VLDB-1995-AgrawalLSS #database #performance #scalability #similarity: Fast Similarity Search in the Presence of Noise, Scaling, and Translation in Time-Series Databases (RA, KIL, HSS, KS), pp. 490–501.
VLDB-1994-ChaudhuriS #optimisation #query: Including Group-By in Query Optimization (SC, KS), pp. 354–366.
VLDB-1993-ChaudhuriS #optimisation #query: Query Optimization in the Presence of Foreign Functions (SC, KS), pp. 529–542.
VLDB-1992-IoannidisNSS #optimisation #parametricity #query: Parametric Query Optimization (YEI, RTN, KS, TKS), pp. 103–114.