Travelled to:1 × Australia
2 × USA
Collaborated with:N.Polyzotis J.Sankaranarayanan H.Hacigümüs J.Tatemura M.J.Carey M.P.Consens K.Ioannidou S.Prasad A.Fard V.Gupta J.Martinez V.Xu M.Hsu I.Roy
Talks about:analyt (3) data (3) predict (2) databas (2) system (2) physic (2) design (2) big (2) evolutionari (1) opportunist (1)
Person: Jeff LeFevre
DBLP: LeFevre:Jeff
Contributed to:
20152014
20132012Wrote 5 papers:
- SIGMOD-2015-PrasadFGMLXHR #data transfer #distributed #performance #predict #scalability
- Large-scale Predictive Analytics in Vertica: Fast Data Transfer, Distributed Model Creation, and In-database Prediction (SP, AF, VG, JM, JL, VX, MH, IR), pp. 1657–1668.
- SIGMOD-2014-LeFevreSHTPC #big data #data analysis #design #physics
- Opportunistic physical design for big data analytics (JL, JS, HH, JT, NP, MJC), pp. 851–862.
- SIGMOD-2014-LeFevreSHTPC14a #big data #multi #named #query
- MISO: souping up big data query processing with a multistore system (JL, JS, HH, JT, NP, MJC), pp. 1591–1602.
- VLDB-2013-HacigumusSTLP #multi #named
- Odyssey: A Multi-Store System for Evolutionary Analytics (HH, JS, JT, JL, NP), pp. 1180–1181.
- SIGMOD-2012-ConsensILP #database #design #physics
- Divergent physical design tuning for replicated databases (MPC, KI, JL, NP), pp. 49–60.