ITR: COPLINK Center for Intelligence and Security Informatics Research---A Crime Data Mining Approach to Developing ôBorder Safeö Research

摘要EIA-0326348新春，陈题：ITR：COPLINK情报与安全信息学研究中心--开展“边境安全”研究的犯罪数据挖掘方法。我们研究的主要智力贡献有三个方面：(A)开发新的数据挖掘、文本挖掘和知识发现模型和技术，这些模型和技术受执法应用程序的推动，但也可以应用于其他显示出类似特征的领域；(B)为其他数据挖掘应用程序中的可扩展网络开发新的表示、模型和计算方法；以及(C)研究已开发的犯罪数据挖掘技术在现实环境中的接受和采用情况，并全面了解相关的政策影响，包括信息共享和隐私问题。这项研究的更广泛影响包括：减少执法应用中的认知和信息过载；提高情报和执法机构发现、预防和应对犯罪和恐怖主义事件的能力；促进执法机构之间的信息共享和合作；以及为NSF知识发现和“边境安全”研究提供大规模研究试验台。拟议的研究工作将利用我们在COPLINK系统方面非常成功的过去和正在进行的工作，我们以前在数据挖掘、文本挖掘、网络计算和其他应用领域的信息检索方面的研究经验，以及我们与地方、州和联邦执法机构的广泛持续合作伙伴关系。

AbstractEIA-0326348Hsinchun, ChenTitle: ITR: COPLINK Center for Intelligence and Security Informatics Research- A Crime Data Mining Approach to Developing "Border Safe" Research. The main intended intellectual contribution of our research is three-fold: (a) developing new data mining, text mining, and knowledge discovery models and techniques that are motivated by law enforcement applications but can also be applied in other domains demonstrating similar characteristics, (b) developing new representations, models, and computational methods for scalable networks from other data mining applications, and (c) studying the acceptance and adoption of the developed crime data mining technologies in real-world settings and obtaining a comprehensive understanding of related policy implications including information sharing and privacy issues. The broader impacts of this research include: reducing cognitive and information overload in law enforcement applications; improving intelligence and law enforcement agencies' abilities to detect, prevent, and respond to crimes and terrorism events; fostering information sharing and collaboration among law enforcement agencies; and providing a large-scale research testbed for NSF KDD and "border safe" researches. The proposed research effort will leverage our highly successful past and ongoing work on the COPLINK system, our prior research experience on data mining, text mining, web computing, and information retrieval in other application domains, and our extensive ongoing partnerships with local, state, and federal law enforcement agents.