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首页> 外文会议>IEEE Systems and Information Engineering Design Symposium >Uniform Crime Report 'SuperClean' Data Cleaning Tool
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Uniform Crime Report 'SuperClean' Data Cleaning Tool

机译：统一犯罪报告“超克劳”数据清洁工具

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The analysis of UCR data provides a basis for crime prevention in the United States as well as a sound decision making tool for policy makers. The decisions made with the use of UCR data range from major funding for resource allocation down to patrol distribution by local police departments. The FBI collects and maintains the database of the Uniform Crime Reports (UCR), from 18,000 reporting police agencies nationwide. However, many of these data sets have missing, incomplete, or incorrect data points that render crime analysis less effective. UCR experts have stated that in the current form UCR data is unreliable and sporadic. Efforts have previously been made to design a software application to correct these necessary problems, but the application was deemed insufficient due to limited portability and usability. Software requirements restricted potential users and the user interface was ineffective. However, this previous work describes the functions needed to effectively clean and assess UCR data. This paper describes the design of an application used to clean, process, and correct UCR data so that ideal policy decisions can be made. Erroneous portions of the data will be found using the outlier detection function that is based on a statistical model of anomalous behavior. These methods incorporate sponsor specifications and user requirements. This project builds upon the GRASP (Geospatial Repository for Analysis and Safety Planning) project's goal of sharing information between law enforcement agencies. Eventually this application could be integrated with GRASP to form a single repository for UCR and spatial crime data. This paper describes how the new stand alone application will allow users to clean, correct, and process UCR data in an efficient, user-friendly manner. Formal testing provides a basis to assess the effectiveness of the application based on the metrics of time, cost, and quality. The results are the basis for improvements to the application.
机译：UCR数据分析为美国的预防犯罪提供了基础，以及政策制定者的合理决策工具。利用UCR数据的决定从主要资金提供资源分配到当地警察部门的巡逻分配。 FBI从全国18,000次报告警察机构收集并维护统一犯罪报告（UCR）的数据库。然而，许多这些数据集具有缺失，不完整或不正确的数据点，使犯罪分析更少有效。 UCR专家表示，在目前的UCR数据中，UCR数据是不可靠和零星的。以前已经努力设计软件应用程序以纠正这些必要的问题，但由于可移植性和可用性有限，申请被视为不足。软件要求受限潜在用户和用户界面无效。但是，此前的工作描述了有效清洁和评估UCR数据所需的功能。本文介绍了用于清洁，处理和正确UCR数据的应用程序的设计，以便可以进行理想的策略决策。使用基于异常行为的统计模型的异常检测功能，将找到数据的错误部分。这些方法包含赞助商规格和用户要求。该项目建立在掌握（分析和安全规划的地理空间储存库）项目中，项目的目标是执法机构之间的信息。最终，此应用程序可以与掌握集成，以形成UCR和空间犯罪数据的单个存储库。本文介绍了新的独立应用程序如何允许用户以有效，用户友好的方式清洁，正确处理UCR数据。正式测试为根据时间，成本和质量的指标评估申请的有效性提供的基础。结果是改善申请的基础。

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