Answering range-based reverse kNN and why-not reverse kNN queries

Zhefan ZHONG, Xin LIN, Liang HE

PDF(185 KB)
PDF(185 KB)
Front. Comput. Sci. ›› 2020, Vol. 14 ›› Issue (1) : 233-235. DOI: 10.1007/s11704-019-8190-5
LETTER

Answering range-based reverse kNN and why-not reverse kNN queries

Author information +
History +

Cite this article

Download citation ▾
Zhefan ZHONG, Xin LIN, Liang HE. Answering range-based reverse kNN and why-not reverse kNN queries. Front. Comput. Sci., 2020, 14(1): 233‒235 https://doi.org/10.1007/s11704-019-8190-5

References

[1]
Korn F, Muthukrishnan S. Influence sets based on reverse nearest neighbor queries. Journal of Special Interest Group on Management Of Data, 2000, 29(2): 201–212
CrossRef Google scholar
[2]
Tran Q T, Chan C Y. How to conquer why-not questions. In: Proceedings of the ACM SIGMOD International Conference on Management of Data. 2010, 15–26
CrossRef Google scholar
[3]
He Z, Lo E. Answering why-not questions on top-k queries. In: Proceedings of International Conference on Data Engineering. 2012, 750–761
CrossRef Google scholar
[4]
Stanoi I, Agrawal D, Abbadi A. Reverse nearest neighbor queries for dynamic databases. Journal of Special Interest Group on Management of Data, 2000, 29(5): 44–53
[5]
Singh A, Ferhatosmanoglu H, Tosun A. High dimensional reverse nearest neighbor queries. In: Proceedings of the 12th International Conference on Information Knowledge Management. 2003, 91–98
CrossRef Google scholar
[6]
Tao Y, Papadias D, Lian X. Reverse kNN search in arbitrary dimensionality. In: Proceedings of the 30th International Conference on Very Large Data Bases. 2004, 744–755
CrossRef Google scholar
[7]
Beckmann N, Kriegel H P, Schneider R, Seeger B. The R*-tree: an effcient and robust access method for points and rectangles. In: Proceedings of the ACM SIGMOD International Conference on Management of Data. 1990, 322–331
CrossRef Google scholar

RIGHTS & PERMISSIONS

2019 Higher Education Press and Springer-Verlag GmbH Germany, part of Springer Nature
AI Summary AI Mindmap
PDF(185 KB)

Accesses

Citations

Detail

Sections
Recommended

/