Geometric top-K processing: Updates since MDM'16 [Advanced Seminar]
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 solut...
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2019
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sg-smu-ink.sis_research-54352020-04-23T02:32:34Z Geometric top-K processing: Updates since MDM'16 [Advanced Seminar] MOURATIDIS, Kyriakos 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. 2019-06-01T07:00:00Z text application/pdf https://ink.library.smu.edu.sg/sis_research/4432 info:doi/10.1109/MDM.2019.00-81 https://ink.library.smu.edu.sg/context/sis_research/article/5435/viewcontent/MDM19___Advanced_Seminar.pdf http://creativecommons.org/licenses/by-nc-nd/4.0/ Research Collection School Of Computing and Information Systems eng Institutional Knowledge at Singapore Management University Top-k query Top-k search Numerical Analysis and Scientific Computing Operations Research, Systems Engineering and Industrial Engineering |
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Top-k query Top-k search Numerical Analysis and Scientific Computing Operations Research, Systems Engineering and Industrial Engineering |
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Top-k query Top-k search Numerical Analysis and Scientific Computing Operations Research, Systems Engineering and Industrial Engineering MOURATIDIS, Kyriakos Geometric top-K processing: Updates since MDM'16 [Advanced Seminar] |
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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. |
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text |
| author |
MOURATIDIS, Kyriakos |
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MOURATIDIS, Kyriakos |
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MOURATIDIS, Kyriakos |
| title |
Geometric top-K processing: Updates since MDM'16 [Advanced Seminar] |
| title_short |
Geometric top-K processing: Updates since MDM'16 [Advanced Seminar] |
| title_full |
Geometric top-K processing: Updates since MDM'16 [Advanced Seminar] |
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Geometric top-K processing: Updates since MDM'16 [Advanced Seminar] |
| title_full_unstemmed |
Geometric top-K processing: Updates since MDM'16 [Advanced Seminar] |
| title_sort |
geometric top-k processing: updates since mdm'16 [advanced seminar] |
| publisher |
Institutional Knowledge at Singapore Management University |
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2019 |
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https://ink.library.smu.edu.sg/sis_research/4432 https://ink.library.smu.edu.sg/context/sis_research/article/5435/viewcontent/MDM19___Advanced_Seminar.pdf |
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