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Data Management Lab: University of Minnesota.

http://dmlab.cs.umn.edu/latest_news.html

Justin Levandoski, David Lomet, Mohamed F. Mokbel and Kevin Zhao. " Deuteronomy: Transaction Support for Cloud Data. In Proceedings of the Biennial Conference on Innovating Data Systems Research, CIDR 2011. Asilomar, CA, January 2011. Mohamed Khalefa, Mohamed F. Mokbel, and Justin Levandoski. " PrefJoin: An Efficient Preference-aware Join Operator. In Proceedings of the IEEE International Conference on Data Engineering, ICDE 2011. Hannover, Germany, April 2011 (full paper, acceptance rate 19.8%).

2

Data Management Lab: University of Minnesota.

http://dmlab.cs.umn.edu/people.html

Abdeltawab Hendawi, PhD. Ahmed Eldawy, PhD. Mohamed E. Khalefa, PhD. Mohamed F. Mokbel. Contact U of M. The University of Minnesota is an equal opportunity educator and employer. Last modified on June 19, 2007.

3

Data Management Lab: University of Minnesota.

http://dmlab.cs.umn.edu/multimedia.html

Mohamed F. Mokbel, Chi-Yin Chow and Walid G. Aref. "The New Casper: A Privacy-Aware Location-Based Database Server". In Proceedings of the International Conference of Data Engineering. ICDE 2007, Istanbul, Turkey, pp. 1499-1500, Apr. 2007. (acceptance rate 38.3%). Demo Video: ( Part1. M H Ali, Walid G. Aref, Raja Bose, Ahmed Elmagarmid, Abdelsalam Helal, Ibrahim Kamel, Mohamed F. Mokbel. "NILE-PDT: A Phenomenon Detection and Tracking Framework for Data Stream Management Systems". Contact U of M.

4

Data Management Lab: University of Minnesota.

http://dmlab.cs.umn.edu/publications.html

Justin J. Levandoski, Mohamed E. Khalefa, and Mohamed F. Mokbel. " On Producing High and Early Result Throughput in Multi-join Query Plans. IEEE Transaction of Knowledge and Data Engineering, IEEE TKDE 2011. To Appear, 2011. Chi-Yin Chow, Mohamed F. Mokbel, and Tian He. " A Privacy-Preserving Location Monitoring System for Wireless Sensor Networks. IEEE Transactions on Mobile Computing, IEEE TMC 2011. To Appear, 2011. IEEE Transactions on Mobile Computing, IEEE TMC 2011. To Appear, 2011. To Appear, 2011.

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UMN Data Management Group. Data management systems, cloud services, probabilistic databases, and data mining in Computer Science and Engineering. At the University of Minnesota. University of Minnesota's database group aims at broadening the focus of database and data management techniques beyond their traditional scope. We do both theoretical and systems work in areas such as Spatial databases, stream processing, Location-based Services, Big Data, and data mining. Big Spatial Data Processing.

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