Jeffrey Jestes

According to our database, Jeffrey Jestes authored at least 11 papers between 2009 and 2014.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2014

Comparing Implementations of Near-Data Computing with In-Memory MapReduce Workloads.

Seth H. Pugsley, Jeffrey Jestes, Rajeev Balasubramonian, Vijayalakshmi Srinivasan, Alper Buyuktosunoglu, Al Davis, Feifei Li

IEEE Micro, 2014

NDC: Analyzing the impact of 3D-stacked memory+logic devices on MapReduce workloads.

Seth H. Pugsley, Jeffrey Jestes, Huihui Zhang, Rajeev Balasubramonian, Vijayalakshmi Srinivasan, Alper Buyuktosunoglu, Al Davis, Feifei Li

Proceedings of the 2014 IEEE International Symposium on Performance Analysis of Systems and Software, 2014

2013

Efficient Summarization Techniques for Massive Data.

Jeffrey Jestes

PhD thesis, 2013

Quality and efficiency for kernel density estimates in large data.

Yan Zheng, Jeffrey Jestes, Jeff M. Phillips, Feifei Li

Proceedings of the ACM SIGMOD International Conference on Management of Data, 2013

2012

Ranking Large Temporal Data.

Jeffrey Jestes, Jeff M. Phillips, Feifei Li, Mingwang Tang

Proc. VLDB Endow., 2012

Efficient Threshold Monitoring for Distributed Probabilistic Data.

Mingwang Tang, Feifei Li, Jeff M. Phillips, Jeffrey Jestes

Proceedings of the IEEE 28th International Conference on Data Engineering (ICDE 2012), 2012

Efficient parallel kNN joins for large data in MapReduce.

Chi Zhang, Feifei Li, Jeffrey Jestes

Proceedings of the 15th International Conference on Extending Database Technology, 2012

2011

Semantics of Ranking Queries for Probabilistic Data.

Jeffrey Jestes, Graham Cormode, Feifei Li, Ke Yi

IEEE Trans. Knowl. Data Eng., 2011

Building Wavelet Histograms on Large Data in MapReduce.

Jeffrey Jestes, Ke Yi, Feifei Li

Proc. VLDB Endow., 2011

2010

Probabilistic string similarity joins.

Jeffrey Jestes, Feifei Li, Zhepeng Yan, Ke Yi

Proceedings of the ACM SIGMOD International Conference on Management of Data, 2010

2009

Ranking distributed probabilistic data.

Feifei Li, Ke Yi, Jeffrey Jestes

Proceedings of the ACM SIGMOD International Conference on Management of Data, 2009