Large volumes of spatio-temporal data are increasingly collected and studied in diverse
domains, including climate science, social sciences, neuroscience, epidemiology …

Explosive growth in geospatial and temporal data as well as the emergence of new
technologies emphasize the need for automated discovery of spatiotemporal knowledge …

Ben shu chan shu le shu ju wa jue he zhi shi fa xian ji shu de chan sheng, Fa zhan, Ying
yong he xiang guan gai nian, Yuan li, Suan fa. Dui shu ju wa jue zhong de zhu yao ji shu fen …

首先分析了空间数据挖掘和知识发现(SDMKD) 的内涵和外延; 然后分别研究了用于SDMKD
的概率论, 证据理论, 空间统计学, 规则归纳, 聚类分析, 空间分析, 模糊集, 云理论, 粗集 …

Spatiotemporal data mining (STDM) discovers useful patterns from the dynamic interplay
between space and time. Several available surveys capture STDM advances and report a …

The Definitive Volume on Cutting-Edge Exploratory Analysis of Massive Spatial and
Spatiotemporal DatabasesSince the publication of the first edition of Geographic Data …

During decision making, we are often confronted by a huge amount of factors. These factors
may be either an advantage or a disadvantage to a decision objective. For the purpose of …

Spatial Databases is the first unified, in-depth treatment of special techniques for dealing
with spatial data, particularly in the field of geographic information systems (GIS). This book …

Voluminous geographic data have been, and continue to be, collected with modern data
acquisition techniques such as global positioning systems (GPS), high-resolution remote …

(57) ABSTRACT A system for ranking geospatial entities is described. In one embodiment,
the system comprises an interface for receiving ranking data about a plurality of geospatial …