Mining spatio-temporal data - Andrienko, Malerba, et al. - 2006 () Citation Context ...er or additional details are required for specific subsets of the data. For example, zoom-out operations may improve the efficiency of spatio-temporal data mining algorithms, which are time consuming =-=[...
伦敦大学学院(UCL)的时空分析与大数据挖掘硕士项目(MSc Spatio-temporal Analytics and Big Data Mining)旨在教授GIS、数据库、空间分析、数据挖掘和分析的基础知识,使你具备分析、表示和建模大型复杂时空数据集的工具和技术。 在这个专业,你将学习地理空间科学、空间分析与地理计算、时空数据分析与数据挖掘的必修课程,并...
Spatio-temporal Analytics and Big Data Mining MSc 时空分析与大数据挖掘 主要是学习 GIS 科学、数据库、空间分析、数据挖掘和分析的基础知识,提供分析,建模大型复杂时空数据,大数据分析所需的计算基础和技能,包括使用统计和机器学习方法的可视化、预测、聚类和模拟,以及检索和挖掘大(开放)数据、网络服务和云计算、网络...
1.Spatio-Temporal Index 利用ST-Index加快过程,根据查询位置找到相应的起始路段。我们的时空索引的主要区别是嵌入了两个级别的时间信息(即一天中的时间和日期),以便更有效地计算概率可达区域。因此,ST-Index由3个组成部分组成:时态index、空间index和时间列表 Temporal index。为了支持更细粒度的时空可达性查询,我们将...
Applied Spatial and Spatiotemporal Analysis(应用空间和时空分析)Applied Spatiotemporal Data Mining时空数据挖掘 课程描述随着地理信息科学和地理空间技术的不断进步,空间参考信息在过去几十年中变得越来越容易获得,并成为科学研究和决策过程中的重要信息源。为了有效地利用丰富的空间(和时间)数据,通常需要进行统计分析,...
The field of spatio-temporal data mining (STDM) emerged out of a need to create effective and efficient techniques in order to turn the massive data into meaningful information and knowledge. This chapter reviews the state of the art in STDM research and applications, with emphasis placed on ...
《Temporal, Spatial and Spatio-Temporal Data Mining》,作者:Temporal, Spatial and Spatio-Temporal Data Mining 著,出版社:湖南文艺出版社,ISBN:3540417737。
This paper presents an automatic meteorological data mining approach based on analyzing and mining heterogeneous remote sensed image datasets. The cloud structures are firstly identified and tracked in satellite remote sensed images, after which heterogeneous cloud features and properties are extracted and ...
spatiotemporal data; • apply appropriate spatial and spatiotemporal analytical methods to solve the formulated problems, and be able to critically review alternative methods; • utilize programmable scientific computing tools (e.g., R) to make maps, ...
Spatiotemporal Data MiningViewpointsData Mining IssuesSpatiotemporal data mining is an emerging area of research. Applications for mining different kinds ofspatiotemporal patterns and trends are being developed by researchers in various domains. However,there is a need for underlying architecture framework ...