Spherical Similarity Explorer for Comparative Case Analysis

Leishi Zhang, C. Rooney, Lev Nachmanson, W. Wong, B. Kwon, Florian Stoffel, Michael Hund, Nadeem Qazi, Uchit Singh, D. Keim
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引用次数: 7

Abstract

Comparative Case Analysis (CCA) is an important tool for criminal investigation and crime theory extraction. It analyzes the commonalities and differences between a collection of crime reports in order to understand crime patterns and identify abnormal cases. A big challenge of CCA is the data processing and exploration. Traditional manual approach can no longer cope with the increasing volume and complexity of the data. In this paper we introduce a novel visual analytics system, Spherical Similarity Explorer (SSE) that automates the data processing process and provides interactive visualizations to support the data exploration. We illustrate the use of the system with uses cases that involve real world application data and evaluate the system with criminal intelligence analysts.
球形相似性探索者比较案例分析
比较案例分析是刑事侦查和犯罪理论提取的重要工具。分析犯罪报告的共性和差异,以了解犯罪模式和识别异常情况。CCA的一大挑战是数据的处理和探索。传统的人工方法已不能适应日益增长的数据量和复杂性。本文介绍了一种新的可视化分析系统——球形相似度探索者(SSE),该系统实现了数据处理过程的自动化,并提供交互式可视化来支持数据探索。我们通过涉及真实世界应用程序数据的用例来说明系统的使用,并与刑事情报分析人员一起评估系统。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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