| 大会名称 |
| 2017年 総合大会 |
| 大会コ－ド |
| 2017G |
| 開催年 |
|
2017
|
| 発行日 |
|
|
| セッション番号 |
|
D-4
|
| セッション名 |
|
データ工学
|
| 講演日 |
|
2017/3/25
|
| 講演場所(会議室等) |
|
共通講義棟北 N404
|
| 講演番号 |
|
D-4-9
|
| タイトル |
|
Grid-based dynamic k-dominant skyline query processing in MapReduce
|
| 著者名 |
|
◎Siwen Yu, Minjia He, Asif Zaman, Yasuhiko Morimoto,
|
| キーワード |
|
Dynamic k-dominant skyline, Grid-based, MapReduce
|
| 抄録 |
|
Skyline query is one of the popular techniques to filter uninteresting data. But it usually retrieves too many points, especially for the high-dimensional dataset. In this paper, we define dynamic k-dominant skyline query problem and present a method for computing the query result using 2-phases MapReduce framework. We demonstrate that our method is easy to compute and can be used for high dimensional dataset.
|
| 本文pdf |
|
PDF download
|
