GOALI: Data Mining Tools for Geospatial Databases--Enabling Technologies for the Environment

该项目开发数据挖掘算法，包括关联规则和预测，针对地理空间数据。这项GOALI研究是与雷神系统公司正在进行的SIVAM项目合作进行的。雷神系统公司Garland分部负责SIVAM（亚马逊警戒系统）的硬件和软件开发。SIVAM的目标是实施一个监测和分析基础设施，包括一个非常大（多tb）的地理空间数据库和相关的可视化工具，这将为巴西政府提供必要的信息，以保护和可持续发展亚马逊地区。本研究集中在整体问题的一个重要方面：为特定目标应用开发新算法。所开发的算法可扩展到当前的大量数据，并适应主存储器的可用量。在SIVAM项目中，数据是在持续的基础上获得的（随着时间的推移）。预测算法用于预测环境灾难（如洪水或森林砍伐），并且本质上是增量的。保存“记住”以前收集的环境数据的状态信息。当新数据到达时，根据找到的数据推进状态。此外，这些用于保存状态信息的结构在学习发生时被修改。这项研究的结果将推动数据挖掘领域的发展，并为环境研究和管理提供使能技术。http://www.seas.smu.edu/~mhd/dm.html

This project develops data mining algorithms, both association rules and prediction, targeted to geospatial data. This GOALI research is performed in collaboration with the SIVAM project underway at Raytheon Systems Company. Raytheon Systems Company, Garland Division, has the responsibility for the hardware and software development of SIVAM (System for the Vigilance of the Amazon). SIVAM's objective is to implement a surveillance and analysis infrastructure, including a very large (multi terabyte) geospatial database and associated visualization tools that will provide the Brazilian Government with the necessary information for the protection and sustainable development of the Amazon region. This research focuses on an important aspect of the overall problem: development of new algorithms for a specific target application. The developed algorithms scale to the massive amounts of data present as well as adapt to the available amount of main memory. In the SIVAM project, data is obtained on an ongoing basis (as time advances). The prediction algorithms are used to predict environmental catastrophes (such as flooding or deforestation) and are incremental in nature. State information is kept which "remembers" previous environmental data collected. As new data arrives, the state is advanced based on the data found. In addition, these structures used to save this state information are modified as learning takes place. The results of this research will advance the field of data mining and provide enabling technologies for the environment research and management.http://www.seas.smu.edu/~mhd/dm.html