1 |
J. Schiller, A. Voisard, "Location-Based Services," Elsevier, 2004.
|
2 |
H. t. Hoi, V. H. Ca, L. V. Truong, "Location-Based Services," International Conference on Management, Economics, Business and Social Sciences, ICMEBSS, pp. 81-90, 2018.
|
3 |
M. Kibanov, M. Becker, J. Mueller, M. Atzmueller, A. Hotho, G. Stumme, "Adaptive kNN using expected accuracy for classification of geo-spatial data," Proceedings of the 33rd Annual ACM Symposium on Applied Computing, pp. 857-865, April 2018.
|
4 |
M. Najibi, M. Rastegari, L. S. Davis, "G-CNN: an iterative Grid Based Object Detector," The IEEE Conference on Computer Vision and Pattern Recognition, pp. 2369-2377, June 2016.
|
5 |
Q. Zhao, Y. Shi, Q. Liu, P. Franti, "A grid-growing clustering algorithm for geo-spatial data," Pattern Recognition Letters, Vol. 53, pp. 77-84, 2014.
DOI
|
6 |
K. Koperski, J. Han, N. Stefanovic, "An Efficient TwoStep Method for Classication of Spatial Data," SDH '98), Jan. 1999.
|
7 |
Y. Fang, R. Cheng, X. Li, S. Luo, J. Hu, "Effective community search over large spatial graphs," Proceedings of the VLDB Endowment, Vol. 10(6), pp. 709-720, February 2017.
DOI
|
8 |
T. Sajana, C. M. Sheela Rani, K. V. Narayana, "A Survey on Clustering Techniques for Big Data Mining," Indian Journal of Science and Technology, Vol. 9(3), pp. 1-12, January 2016.
|
9 |
A. Eldawy, L. Alarabi, M. F. Mokbel, "Spatial partitioning techniques in SpatialHadoop," International Conference on Very Large Data Bases, Vol. 8(12), August 2015.
|
10 |
H. J. Jang, B. Kim, J. Kim, S. Y. Jung, "An efficient grid-based k-prototypes algorithm for stutainable decision-making on spatial objects," Sustainability, Vol. 10(8), pp. 1-2, 2018.
DOI
|
11 |
A. Guttman, "R-trees: a dynamic index structure for spatial searching," in Proceedings of ACM SIGMOD International Conference on Management of Data, Vol. 14, pp. 47-57, 1984.
|