Paper Info
Title
Spherical Similarity Explorer for Comparative Case Analysis.
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.
Year
Venue
Field
2016
Visualization and Data Analysis
Data science,Data processing,Comparative case,Data exploration,Computer science,Visual analytics,Criminal investigation
DocType
Citations 
PageRank 
Conference
2
0.38
References 
Authors
0
10
Name
Order
Citations
PageRank
Leishi Zhang121918.17
Chris Rooney2748.21
Lev Nachmanson330716.92
B. L. William Wong427445.09
Bum chul Kwon527816.46
Florian Stoffel61069.38
Michael Hund7303.29
Nadeem Qazi8102.98
Uchit Singh920.38
Daniel A. Keim1077041141.60