Travelled to:1 × Australia
1 × Austria
2 × USA
Collaborated with:R.T.Ng K.Shim A.Y.Halevy S.Chaudhuri V.R.Narasayya A.D.Sarma I.Trummer S.Sarawagi R.Gupta H.Gonzalez J.Madhavan C.Kim J.Park N.Satish P.Dubey J.Chhugani L.Fang N.Gupta F.Wu R.Xin C.Yu
Talks about:estim (3) similar (2) effici (2) tabl (2) size (2) larg (2) join (2) cloudramsort (1) parameter (1) distribut (1)
Person: Hongrae Lee
DBLP: Lee:Hongrae
Contributed to:
20152012
2011201020092007Wrote 8 papers:
- SIGMOD-2015-TrummerHLSG #mining #web
- Mining Subjective Properties on the Web (IT, AYH, HL, SS, RG), pp. 1745–1760.
- SIGMOD-2012-KimPSLDC #clustering #distributed #named #performance #ram #scalability
- CloudRAMSort: fast and efficient large-scale distributed RAM sort on shared-nothing cluster (CK, JP, NS, HL, PD, JC), pp. 841–850.
- SIGMOD-2012-SarmaFGHLWXY
- Finding related tables (ADS, LF, NG, AYH, HL, FW, RX, CY), pp. 817–828.
- SIGMOD-2012-SarmaLGMH #performance #scalability
- Efficient spatial sampling of large geographical tables (ADS, HL, HG, JM, AYH), pp. 193–204.
- VLDB-2011-LeeNS #estimation #locality #similarity #using
- Similarity Join Size Estimation using Locality Sensitive Hashing (HL, RTN, KS), pp. 338–349.
- SIGMOD-2010-ChaudhuriLN #optimisation #query
- Variance aware optimization of parameterized queries (SC, HL, VRN), pp. 531–542.
- 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.