MapReduce based location selection algorithm for utility maximization with capacity constraints

Yu Sun; Jianzhong Qi; Rui Zhang; Yueguo Chen; Xiaoyong Du

Journal article

MapReduce based location selection algorithm for utility maximization with capacity constraints

Yu Sun, Jianzhong Qi, Rui Zhang, Yueguo Chen, Xiaoyong Du

Computing | SPRINGER WIEN | Published : 2015

DOI: 10.1007/s00607-013-0382-5

University of Melbourne Researchers

Rui Zhang Author Computing and Information Systems

Jianzhong Qi Author Computing and Information Systems

Related Projects (2)

Next Generation Real-Time Trajectory Mining For Travel And Transportation Decision Support

Mining human and vehicle trajectories in real time will enable a suite of next-generation applications such as traffic overload prediction, ..

A Painless Approach To Support Efficient Querying And Mining Of Spatial Data Through Smart Transformations

This project will develop spatial data retrieval methods that are not only highly efficient but also easy to implement ('painless'). It will..

Grants

Awarded by Australian Research Council (ARC)

Awarded by ARC

Awarded by National Science Foundation of China

Funding Acknowledgements

This work is supported by the Australian Research Council (ARC) Discovery Project DP130104587. Dr. Rui Zhang is supported by the ARC Future Fellowships Project FT120100832. Dr. Yueguo Chen is partially supported by the National Science Foundation of China under Grant No. 61003085. Dr. Xiaoyong Du is partially supported by the National Science Foundation of China under Grant No. 61170010.