Description: 我上载的最后一个空间数据挖掘的例外点检测程序（共4个）,用matlab编的。-Finally, I uploaded a spatial data mining exception detection procedures (a total of 4), using matlab series. Platform: |
Size: 1024 |
Author:杨卫明 |
Hits:
Description: 根据现行文献中反复提到的空间数据处理内涵的理解,将空间数据处理分为空间数据处理技术和空
间数据处理理论,简要论述了各自的主要内容,讨论了空间数据挖掘的现状和今后研究的重点,比较了空间数
据处理与空间数据挖掘的异同-According to the existing literature has repeatedly referred to deal with the connotation of spatial data understanding, will deal with spatial data into spatial data processing technology and spatial data handling theory, briefly discussed their main contents of spatial data mining discussed the current situation and future research focus on comparison of spatial data and spatial data mining deal with the similarities and differences Platform: |
Size: 403456 |
Author:王林方 |
Hits:
Description: 实现空间数据挖掘中的关联规则，代码短小但精炼，已经被作者成功实现。-Spatial data mining association rules, the code short, but refined, has been a successful author. Platform: |
Size: 3072 |
Author:郑继刚 |
Hits:
Description: 本文首先介绍了粗糙集理论的基本概念，包括等价关系、不可分辨关系、上下近似、粗糙集和简约；并且从空间数据挖掘、遥感影像处理、GIS 不确定性、GIS 数据分析、模糊地理对象建模和粗糙集与其它软计算方法的结合等六方面概述了粗糙集理论在GIS 数据处理中应用的进展-This paper introduces the basic concepts of rough set theory, including the equivalence relation, can not distinguish between lower and upper approximation, Rough sets and simple and from spatial data mining, remote sensing image processing, GIS uncertainty, GIS data analysis, fuzzy geographical objects Modeling and rough sets and other soft computing methods outlined six aspects such as the combination of rough set theory in GIS progress in the application of data processing Platform: |
Size: 376832 |
Author:胡伟 |
Hits:
Description: 本文首先介绍了粗糙集理论的基本概念，包括等价关系、不可分辨关系、上下近似、粗糙集和简约；并且从空间数据挖掘、遥感影像处理、GIS 不确定性、GIS 数据分析、模糊地理对象建模和粗糙集与其它软计算方法的结合等六方面概述了粗糙集理论在GIS 数据处理中应用的进展-This paper introduces the basic concepts of rough set theory, including the equivalence relation, can not distinguish between lower and upper approximation, Rough sets and simple and from spatial data mining, remote sensing image processing, GIS uncertainty, GIS data analysis, fuzzy geographical objects Modeling and rough sets and other soft computing methods outlined six aspects such as the combination of rough set theory in GIS progress in the application of data processing Platform: |
Size: 395264 |
Author:胡伟 |
Hits:
Description: 一种空间数据挖掘查询索引的设计A spatial data mining query the index design-A spatial data mining query the index design Platform: |
Size: 212992 |
Author:ku2020 |
Hits:
Description: 城市空间数据挖掘方法与应用,主要介绍城市相关地理信息的挖掘算法与实现,希望对大家有帮助-Urban spatial data mining methods and applications, focuses on the city' s geographic information related to mining algorithms and implementation, we want to help Platform: |
Size: 10426368 |
Author:小黄 |
Hits:
Description: Location prediction is a special case of spatial data mining
classification. For instance, in the public safety domain,
it may be interesting to predict location(s) of crime
hot spots. In this study, we present Support Vector Machine
(SVM) based approach to predict the location as alternative
to existing modeling approaches. SVM forms the new generation
of machine learning techniques used to find optimal
separability between classes within datasets. Experiments
on two different spatial datasets show that SVMs gives reasonable
results. Platform: |
Size: 197632 |
Author:ahmed |
Hits:
Description: Crime hot-spot location prediction is important for public safety. The output from the prediction
can provide useful information to improve the activities aimed at detecting and preventing
safety and security problems. Location prediction is a special case of spatial data mining classification.
For instance, in the public safety domain, it may be interesting to predict location(s) of
crime hot spots. In this study, we present a support vector machine (SVM)-based approach to predict
the location as an alternative to existing modeling approaches. Platform: |
Size: 453632 |
Author:ahmed |
Hits:
Search - spatial data mining