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

该项目开发针对地理空间数据的数据挖掘算法，包括关联规则和预测。GOALI的这项研究是与雷神系统公司正在进行的SIVAM项目合作进行的。雷神系统公司加兰分部负责亚马逊警戒系统的硬件和软件开发。该系统的目标是建立一个监测和分析基础设施，包括一个非常大的（多太字节）地理空间数据库和相关的可视化工具，为巴西政府提供必要的信息，以保护亚马逊地区并促进其可持续发展。这项研究的重点是一个重要方面的整体问题：开发新的算法，为特定的目标应用程序。所开发的算法可扩展到现有的大量数据，并适应主内存的可用量。在SIVAM项目中，数据是不断获得的（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。状态信息被保存，它“记住”以前收集的环境数据。当新的数据到达时，状态会根据找到的数据进行升级。此外，这些用于保存状态信息的结构会随着学习的进行而修改。本研究的成果将推动数据挖掘领域的发展，并为环境研究和management.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