.png){kind=icon}
返回
Ranking Spatial Data by Quality Preferences
.png){kind=icon}
OA
AI
DOI：10.1109/TKDE.2010.119.png)
.png){kind=icon}
.png){kind=icon}
分享.png){kind=icon}
收藏
摘要
En 中文
A spatial preference query ranks objects based on the qualities of features in their spatial neighborhood. For example, using a real estate agency database of flats for lease, a customer may want to rank the flats with respect to the appropriateness of their location, defined after aggregating the qualities of other features (e. g., restaurants, cafes, hospital, market, etc.) within their spatial neighborhood. Such a neighborhood concept can be specified by the user via different functions. It can be an explicit circular region within a given distance from the flat. Another intuitive definition is to assign higher weights to the features based on their proximity to the flat. In this paper, we formally define spatial preference queries and propose appropriate indexing techniques and search algorithms for them. Extensive evaluation of our methods on both real and synthetic data reveals that an optimized branch-and-bound solution is efficient and robust with respect to different parameters.
Keyword:
Query processing
spatial databases
AI总结
对已上传原文的论文进行重点信息的提取，主要内容包括：简要概述、研究摘要、背景介绍、关键亮点、图文解析、展望与总结。
期刊
IF:
10.4
论文数:
6.8K
被引数:
3.2W
机构
引用论文
Accelerated Discovery of CH4 Uptake Capacity Metal–Organic Frameworks Using Bayesian Optimization
OAAI
OAAI分享收藏FACE MASK CONTAMINATION DURING COVID-19 PANDEMIA. A STUDY ON PATIENTS RECEIVING INTRAVITREAL INJECTIONS.png)
Retina
RetinaIF0
PREAI
分享收藏
查看更多内容