Travelled to:1 × Australia
1 × Austria
1 × Iceland
5 × USA
Collaborated with:F.Li Y.Zheng S.Venkatasubramanian J.Jestes ∅ M.Ghashami P.K.Agarwal K.Yi A.Agarwal B.Chandramouli J.Yang M.Tang D.Agarwal A.McGregor Z.Zhu B.Aronov S.Har-Peled W.Zhang G.Cormode Z.Huang Z.Wei
Talks about:larg (4) data (4) approxim (3) densiti (2) kernel (2) scale (2) estim (2) uncertainti (1) distribut (1) dimension (1)
Person: Jeff M. Phillips
DBLP: Phillips:Jeff_M=
Contributed to:
2015
2014
2013
2013201220122010
200820072006Wrote 10 papers:
- KDD-2015-ZhengP #fault #kernel #scalability
- L∞ Error and Bandwidth Selection for Kernel Density Estimates of Large Data (YZ, JMP), pp. 1533–1542.
- VLDB-2014-GhashamiPL #approximate #distributed #matrix
- Continuous Matrix Approximation on Distributed Data (MG, JMP, FL), pp. 809–820.
- PODS-2013-AgarwalAHPYZ #nearest neighbour #nondeterminism
- Nearest neighbor searching under uncertainty II (PKA, BA, SHP, JMP, KY, WZ), pp. 115–126.
- SIGMOD-2013-ZhengJPL #kernel #performance #quality #scalability
- Quality and efficiency for kernel density estimates in large data (YZ, JJ, JMP, FL), pp. 433–444.
- PODS-2012-AgarwalCHPWY #summary
- Mergeable summaries (PKA, GC, ZH, JMP, ZW, KY), pp. 23–34.
- VLDB-2012-JestesPLT #ranking #scalability
- Ranking Large Temporal Data (JJ, JMP, FL, MT), pp. 1412–1423.
- KDD-2010-AgarwalPV #multi #scalability
- Universal multi-dimensional scaling (AA, JMP, SV), pp. 1149–1158.
- ICALP-A-2008-Phillips #algorithm #approximate
- Algorithms for epsilon-Approximations of Terrains (JMP), pp. 447–458.
- VLDB-2007-ChandramouliPY #scalability
- Value-Based Notification Conditions in Large-Scale Publish/Subscribe Systems (BC, JMP, JY), pp. 878–889.
- KDD-2006-AgarwalMPVZ #approximate #performance #statistics
- Spatial scan statistics: approximations and performance study (DA, AM, JMP, SV, ZZ), pp. 24–33.