Jun Long, Lei Zhu 0005, Chengyuan Zhang, Shuangqiao Lin, Zhan Yang, Xinpan Yuan. HOC-Tree: A Novel Index for Efficient Spatio-Temporal Range Search. In Mohadeseh Ganji, Lida Rashidi, Benjamin C. M. Fung, Can Wang 0005, editors, Trends and Applications in Knowledge Discovery and Data Mining - PAKDD 2018 Workshops, BDASC, BDM, ML4Cyber, PAISI, DaMEMO, Melbourne, VIC, Australia, June 3, 2018, Revised Selected Papers. Volume 11154 of Lecture Notes in Computer Science, pages 93-107, Springer, 2018. [doi]
@inproceedings{Long0ZLYY18,
title = {HOC-Tree: A Novel Index for Efficient Spatio-Temporal Range Search},
author = {Jun Long and Lei Zhu 0005 and Chengyuan Zhang and Shuangqiao Lin and Zhan Yang and Xinpan Yuan},
year = {2018},
doi = {10.1007/978-3-030-04503-6_8},
url = {https://doi.org/10.1007/978-3-030-04503-6_8},
researchr = {https://researchr.org/publication/Long0ZLYY18},
cites = {0},
citedby = {0},
pages = {93-107},
booktitle = {Trends and Applications in Knowledge Discovery and Data Mining - PAKDD 2018 Workshops, BDASC, BDM, ML4Cyber, PAISI, DaMEMO, Melbourne, VIC, Australia, June 3, 2018, Revised Selected Papers},
editor = {Mohadeseh Ganji and Lida Rashidi and Benjamin C. M. Fung and Can Wang 0005},
volume = {11154},
series = {Lecture Notes in Computer Science},
publisher = {Springer},
isbn = {978-3-030-04503-6},
}