《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。
Data miningThis volume contains updated versions of the ten papers presented at the First International Workshop on Temporal, Spatial and Spatio-Temporal Data Mining (TSDM 2000) held in conjunction with the 4th European Conference on Prin- ples and Practice of Knowledge Discovery in Databases (...
Spatial-Temporal Data Analysis and Data Mining 时空数据分析与数据挖掘 选修课(选5门): Geospatial Programming 地理空间编程 Spatial Databases and Data Management 空间数据库与数据管理 Applied Machine Learning 应用机器学习 Mining Social and Geographic Datasets 社会和地理数据集挖掘 Sensors and Location 传感器和...
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 recent surge of interest in spatio-temporal databases has resulted in numerous advances, such as: modeling, indexing, and querying of moving objects and spatio-temporal data. Aside from this, rule mining in spatial databases and temporal databases has been studied extensively in data mining res...
been developed from different perspectives, and converged as fruitful fields of geographic information science (GIScience) and spatial statistics. The purpose of this class is to present the commonly used methods and current trends in spatial and spatiotemporal data analysis, and innovative applications...
Temporal, Spatial, and Spatio-Temporal Data Mining 电子书 读后感 评分☆☆☆ 评分☆☆☆ 评分☆☆☆ 评分☆☆☆ 评分☆☆☆ 类似图书 点击查看全场最低价 出版者:Springer 作者:John F. Roddick 出品人: 页数:163 译者: 出版时间:2001-03-26 价格...
This is in contrast to its application in the fields applicable to spatial or spatio-temporal discovery which possess a rich history of methodological discovery and result evaluation. Examples of the former include market basket analysis which, in its simplest form, (q.v. (Agrawal, Imielinski ...
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...
We utilise Sina Weibo data related to the Shenzhen metro system to illustrate a text mining process categorised by semantic, spatial and temporal information. On the semantic front, in addition to identifying service attributes and sentiment polarity consistent with previous literature, we find ...