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2018

Conference Publication

Trajectory set similarity measure: An EMD-based approach

He, Dan, Ruan, Boyu, Zheng, Bolong and Zhou, Xiaofang (2018). Trajectory set similarity measure: An EMD-based approach. 29th Australasian Database Conference, ADC 2018, Gold Coast, QLD, Australia, 24-27 May 2018. Heidelberg, Germany: Springer Verlag. doi: 10.1007/978-3-319-92013-9_3

Trajectory set similarity measure: An EMD-based approach

2018

Conference Publication

Origin-destination trajectory diversity analysis: efficient top-k diversified search

He, Dan, Ruan, Boyu, Zheng, Bolong and Zhou, Xiaofang (2018). Origin-destination trajectory diversity analysis: efficient top-k diversified search. 19th IEEE International Conference on Mobile Data Management, MDM 2018, Aalborg University, Aalborg, Denmark, 26-28 June 2018. Piscataway, NJ, United States: Institute of Electrical and Electronics Engineers Inc.. doi: 10.1109/MDM.2018.00030

Origin-destination trajectory diversity analysis: efficient top-k diversified search

2017

Conference Publication

A performance study on large-scale data analytics using disk-based and in-memory database systems

Chao, Pingfu, He, Dan, Sadiq, Shazia, Zheng, Kai and Zhou, Xiaofang (2017). A performance study on large-scale data analytics using disk-based and in-memory database systems. 2017 IEEE International Conference on Big Data and Smart Computing, BigComp 2017, Jeju, South Korea, 13 - 16 February 2017. Piscataway, NJ, United States: Institute of Electrical and Electronics Engineers. doi: 10.1109/BIGCOMP.2017.7881706

A performance study on large-scale data analytics using disk-based and in-memory database systems

2015

Conference Publication

An energy-efficient branch prediction with grouped global history

Huang, Mingkai, He, Dan, Liu, Xianhua, Tan, Mingxing and Cheng, Xu (2015). An energy-efficient branch prediction with grouped global history. 44th Annual International Conference on Parallel Processing Workshops (ICPPW), Beijing, China, 1-4 September 2015. Piscataway, NJ, United States: Institute of Electrical and Electronics Engineers. doi: 10.1109/icpp.2015.23

An energy-efficient branch prediction with grouped global history