TASC - Crime report visualization for investigative analysis: A case study

C. Ku; James H. Nguyen; Gondy Leroy

doi:10.1109/IRI.2012.6303045

TASC - Crime report visualization for investigative analysis: A case study

C. Ku
, James H. Nguyen
, Gondy Leroy

Information Systems

Claremont Graduate University

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

8 Scopus citations

Abstract

The growing number of textual reports poses a great challenge for investigative analysis. However, text visualization has the potential to address this problem by automating the analysis of text reports, thus reducing workloads and providing new insights for crime analysts. We are developing a crime report visualization system for such investigative analysis. Our system leverages natural language processing and visualization techniques to enhance decision support. To measure its usefulness, we conducted a case study to compare the use of our system with a traditional paper-based approach to identify crime reports discussing the same crime. The crime analyst discovered 4 out of 5 crime reports correctly among 40 reports using either the paper-based or system-based approach. However, less time was spent on the tasks using our system compared to the paper-based approach. Our interface and visualization components such as the highlighting function were rated positively by the crime analyst. © 2012 IEEE.

Original language	English
Title of host publication	Proceedings of the 2012 IEEE 13th International Conference on Information Reuse and Integration, IRI 2012
Place of Publication	usa
Pages	466-473
Number of pages	8
DOIs	https://doi.org/10.1109/IRI.2012.6303045
State	Published - Nov 8 2012
Event	2012 IEEE 13th International Conference on Information Reuse and Integration, IRI 2012 - , United States Duration: Aug 8 2012 → Aug 10 2012

Conference

Conference	2012 IEEE 13th International Conference on Information Reuse and Integration, IRI 2012
Country/Territory	United States
Period	08/8/12 → 08/10/12

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 16 Peace, Justice and Strong Institutions

Keywords

Human-computer interaction
Information visualization
Text Mining

Access to Document

10.1109/IRI.2012.6303045

Cite this

@inproceedings{fccc8f9e508d4b098fe0d79701df3d76,

title = "TASC - Crime report visualization for investigative analysis: A case study",

abstract = "The growing number of textual reports poses a great challenge for investigative analysis. However, text visualization has the potential to address this problem by automating the analysis of text reports, thus reducing workloads and providing new insights for crime analysts. We are developing a crime report visualization system for such investigative analysis. Our system leverages natural language processing and visualization techniques to enhance decision support. To measure its usefulness, we conducted a case study to compare the use of our system with a traditional paper-based approach to identify crime reports discussing the same crime. The crime analyst discovered 4 out of 5 crime reports correctly among 40 reports using either the paper-based or system-based approach. However, less time was spent on the tasks using our system compared to the paper-based approach. Our interface and visualization components such as the highlighting function were rated positively by the crime analyst. {\textcopyright} 2012 IEEE.",

keywords = "Human-computer interaction, Information visualization, Text Mining",

author = "C. Ku and Nguyen, \{James H.\} and Gondy Leroy",

year = "2012",

month = nov,

day = "8",

doi = "10.1109/IRI.2012.6303045",

language = "English",

isbn = "9781467322843",

pages = "466--473",

booktitle = "Proceedings of the 2012 IEEE 13th International Conference on Information Reuse and Integration, IRI 2012",

note = "2012 IEEE 13th International Conference on Information Reuse and Integration, IRI 2012 ; Conference date: 08-08-2012 Through 10-08-2012",

}

Ku, C, Nguyen, JH & Leroy, G 2012, TASC - Crime report visualization for investigative analysis: A case study. in Proceedings of the 2012 IEEE 13th International Conference on Information Reuse and Integration, IRI 2012., 6303045, usa, pp. 466-473, 2012 IEEE 13th International Conference on Information Reuse and Integration, IRI 2012, United States, 08/8/12. https://doi.org/10.1109/IRI.2012.6303045

TY - GEN

T1 - TASC - Crime report visualization for investigative analysis: A case study

AU - Ku, C.

AU - Nguyen, James H.

AU - Leroy, Gondy

PY - 2012/11/8

Y1 - 2012/11/8

N2 - The growing number of textual reports poses a great challenge for investigative analysis. However, text visualization has the potential to address this problem by automating the analysis of text reports, thus reducing workloads and providing new insights for crime analysts. We are developing a crime report visualization system for such investigative analysis. Our system leverages natural language processing and visualization techniques to enhance decision support. To measure its usefulness, we conducted a case study to compare the use of our system with a traditional paper-based approach to identify crime reports discussing the same crime. The crime analyst discovered 4 out of 5 crime reports correctly among 40 reports using either the paper-based or system-based approach. However, less time was spent on the tasks using our system compared to the paper-based approach. Our interface and visualization components such as the highlighting function were rated positively by the crime analyst. © 2012 IEEE.

AB - The growing number of textual reports poses a great challenge for investigative analysis. However, text visualization has the potential to address this problem by automating the analysis of text reports, thus reducing workloads and providing new insights for crime analysts. We are developing a crime report visualization system for such investigative analysis. Our system leverages natural language processing and visualization techniques to enhance decision support. To measure its usefulness, we conducted a case study to compare the use of our system with a traditional paper-based approach to identify crime reports discussing the same crime. The crime analyst discovered 4 out of 5 crime reports correctly among 40 reports using either the paper-based or system-based approach. However, less time was spent on the tasks using our system compared to the paper-based approach. Our interface and visualization components such as the highlighting function were rated positively by the crime analyst. © 2012 IEEE.

KW - Human-computer interaction

KW - Information visualization

KW - Text Mining

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U2 - 10.1109/IRI.2012.6303045

DO - 10.1109/IRI.2012.6303045

M3 - Conference contribution

SN - 9781467322843

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EP - 473

BT - Proceedings of the 2012 IEEE 13th International Conference on Information Reuse and Integration, IRI 2012

CY - usa

T2 - 2012 IEEE 13th International Conference on Information Reuse and Integration, IRI 2012

Y2 - 8 August 2012 through 10 August 2012

ER -

TASC - Crime report visualization for investigative analysis: A case study

Abstract

Conference

UN SDGs

Keywords

Access to Document

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