Assessment of Spatial Data Mining Tools for Integration into an Object-Oriented GIS (GIDB)

机译：评估集成到面向对象GIS（GIDB）中的空间数据挖掘工具

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A variety of data mining techniques are under evaluation on the spatial data of concern in our setting. We are planning to integrate a number of these techniques into our geospatial system (GIDB). Three approaches are under special consideration and are described in the paper. A COTS data mining system has been successfully used to develop predictive models of near-shore conditions such as wave height for naval amphibious operations. Attribute generalization was applied to seafloor data to obtain statements about conditions relevant to mine warfare. Finally an extension of association rule discovery applied to fuzzy spatial data that is under development is discussed.

机译：在我们的环境中，正在对关注的空间数据评估各种数据挖掘技术。我们正计划将许多这些技术集成到我们的地理空间系统（GIDB）中。本文特别介绍了三种方法，并在其中进行了描述。 COTS数据挖掘系统已成功用于开发近岸情况的预测模型，例如用于海军两栖作战的海浪高度。将属性归纳应用于海底数据，以获得有关与地雷作战条件有关的陈述。最后，讨论了将关联规则发现扩展到正在开发的模糊空间数据的方法。

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《Database and Expert Systems Applications》|2002年|p.113-122|共10页
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Roy Ladner; Fredrick E. Petry;
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中图分类自动化技术、计算机技术;
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3. An optimal spatial data transmission based on attribute data cropping in object-oriented GIS [J] . Morikazu Nakamura, Yoshinori Nie, Hayao Miyagi, 電子情報通信学会技術研究報告. コンカレント工学. Concurrent System Technology . 2000,第251期

机译：面向对象GIS中基于属性数据裁剪的最优空间数据传输
4. Assessment of Spatial Data Mining Tools for Integration into an Object-Oriented GIS (GIDB) [C] . Roy Ladner, Fredrick E. Petry International Conference on Database and Expert Systems Applications . 2002

机译：用于集成到面向对象的GIS（GIDB）的空间数据挖掘工具的评估
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Assessment of Spatial Data Mining Tools for Integration into an Object-Oriented GIS (GIDB)

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