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Jeffrey Jestes
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2010 – 2019
- 2014
- [j4]Seth H. Pugsley, Jeffrey Jestes, Rajeev Balasubramonian, Vijayalakshmi Srinivasan, Alper Buyuktosunoglu, Al Davis, Feifei Li:
Comparing Implementations of Near-Data Computing with In-Memory MapReduce Workloads. IEEE Micro 34(4): 44-52 (2014) - [c6]Seth H. Pugsley, Jeffrey Jestes, Huihui Zhang, Rajeev Balasubramonian, Vijayalakshmi Srinivasan, Alper Buyuktosunoglu, Al Davis, Feifei Li:
NDC: Analyzing the impact of 3D-stacked memory+logic devices on MapReduce workloads. ISPASS 2014: 190-200 - 2013
- [b1]Jeffrey Jestes:
Efficient Summarization Techniques for Massive Data. University of Utah, USA, 2013 - [c5]Yan Zheng, Jeffrey Jestes, Jeff M. Phillips, Feifei Li:
Quality and efficiency for kernel density estimates in large data. SIGMOD Conference 2013: 433-444 - 2012
- [j3]Jeffrey Jestes, Jeff M. Phillips, Feifei Li, Mingwang Tang:
Ranking Large Temporal Data. Proc. VLDB Endow. 5(11): 1412-1423 (2012) - [c4]Chi Zhang, Feifei Li, Jeffrey Jestes:
Efficient parallel kNN joins for large data in MapReduce. EDBT 2012: 38-49 - [c3]Mingwang Tang, Feifei Li, Jeff M. Phillips, Jeffrey Jestes:
Efficient Threshold Monitoring for Distributed Probabilistic Data. ICDE 2012: 1120-1131 - [i2]Jeffrey Jestes, Jeff M. Phillips, Feifei Li, Mingwang Tang:
Ranking Large Temporal Data. CoRR abs/1208.0222 (2012) - 2011
- [j2]Jeffrey Jestes, Ke Yi, Feifei Li:
Building Wavelet Histograms on Large Data in MapReduce. Proc. VLDB Endow. 5(2): 109-120 (2011) - [j1]Jeffrey Jestes, Graham Cormode
, Feifei Li, Ke Yi:
Semantics of Ranking Queries for Probabilistic Data. IEEE Trans. Knowl. Data Eng. 23(12): 1903-1917 (2011) - [i1]Jeffrey Jestes, Ke Yi, Feifei Li:
Building Wavelet Histograms on Large Data in MapReduce. CoRR abs/1110.6649 (2011) - 2010
- [c2]Jeffrey Jestes, Feifei Li, Zhepeng Yan, Ke Yi:
Probabilistic string similarity joins. SIGMOD Conference 2010: 327-338
2000 – 2009
- 2009
- [c1]Feifei Li, Ke Yi, Jeffrey Jestes:
Ranking distributed probabilistic data. SIGMOD Conference 2009: 361-374
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