Geometric top-K processing: Updates since MDM'16 [Advanced Seminar]

Author

Kyriakos MOURATIDIS, Singapore Management UniversityFollow

Publication Type

Conference Proceeding Article

Version

acceptedVersion

Publication Date

6-2019

Abstract

The top-k query has been studied extensively, and is considered the norm for multi-criteria decision making in large databases. In recent years, research has considered several complementary operators to the traditional top-k query, drawing inspiration (both in terms of problem formulation and solution design) from the geometric nature of the top-k processing model. In this seminar, we will present advances in that stream of work, focusing on updates since the preliminary seminar on the same topic in MDM'16.

Keywords

Top-k query, Top-k search

Discipline

Numerical Analysis and Scientific Computing | Operations Research, Systems Engineering and Industrial Engineering

Research Areas

Intelligent Systems and Optimization

Publication

2019 20th IEEE International Conference on Mobile Data Management: MDM 2019, Hong Kong, June 10-13: Proceedings

First Page

1

Last Page

3

ISBN

9781728133638

Identifier

10.1109/MDM.2019.00-81

Publisher

IEEE Computer Society

City or Country

Los Alamitos, CA

Citation

MOURATIDIS, Kyriakos. Geometric top-K processing: Updates since MDM'16 [Advanced Seminar]. (2019). 2019 20th IEEE International Conference on Mobile Data Management: MDM 2019, Hong Kong, June 10-13: Proceedings. 1-3.
Available at: https://ink.library.smu.edu.sg/sis_research/4432

Copyright Owner and License

Authors

Creative Commons License

This work is licensed under a Creative Commons Attribution-NonCommercial-No Derivative Works 4.0 International License.

Additional URL

https://doi.org/10.1109/MDM.2019.00-81