Crime investigation and analysis using neural nets

Q. A. Memon; S. Mehboob

doi:10.1109/INMIC.2003.1416748

Crime investigation and analysis using neural nets

Q. A. Memon
, S. Mehboob

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

8 Citations (Scopus)

Abstract

Crime investigation, with special reference to homicide cases, involves intensive and phase wise collection of data. We discuss a technique for comparing previously available data of the homicide cases with the current one. The system to be developed here is based upon an artificial neural network and is intended to be used by homicide detectives and other special task personnel for providing improved and sound reports to the courts of justice. The objective is thus to provide an automated crime analysis system (ACS) which is based upon an artificial neural network (ANN). The system also provides a crime visualization feature that gives the user a pictorial representation of crime details. This feature uses an incremental approach to represent the suspects and their concerns. Thus an elaborate visual description is achieved.

Original language	English
Title of host publication	Proceedings - INMIC 2003
Subtitle of host publication	IEEE 7th International Multi Topic Conference
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	346-350
Number of pages	5
ISBN (Electronic)	0780381831, 9780780381834
DOIs	https://doi.org/10.1109/INMIC.2003.1416748
Publication status	Published - 2003
Externally published	Yes
Event	7th IEEE International Multi Topic Conference, INMIC 2003 - Islamabad, Pakistan Duration: Dec 8 2003 → Dec 9 2003

Publication series

Name	Proceedings - INMIC 2003: IEEE 7th International Multi Topic Conference

Other

Other	7th IEEE International Multi Topic Conference, INMIC 2003
Country/Territory	Pakistan
City	Islamabad
Period	12/8/03 → 12/9/03

UN SDGs

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

SDG 16 Peace, Justice and Strong Institutions

Keywords

Artificial neural networks
Data visualization
Forensics
Government
Information technology
Layout
Neural networks
Personnel
Senior citizens
Visual databases

ASJC Scopus subject areas

Computer Networks and Communications
Computer Science Applications
Hardware and Architecture
Signal Processing
Modelling and Simulation

Access to Document

10.1109/INMIC.2003.1416748

Cite this

Crime investigation and analysis using neural nets. / Memon, Q. A.; Mehboob, S.
Proceedings - INMIC 2003: IEEE 7th International Multi Topic Conference. Institute of Electrical and Electronics Engineers Inc., 2003. p. 346-350 1416748 (Proceedings - INMIC 2003: IEEE 7th International Multi Topic Conference).

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

Memon, QA & Mehboob, S 2003, Crime investigation and analysis using neural nets. in Proceedings - INMIC 2003: IEEE 7th International Multi Topic Conference., 1416748, Proceedings - INMIC 2003: IEEE 7th International Multi Topic Conference, Institute of Electrical and Electronics Engineers Inc., pp. 346-350, 7th IEEE International Multi Topic Conference, INMIC 2003, Islamabad, Pakistan, 12/8/03. https://doi.org/10.1109/INMIC.2003.1416748

@inproceedings{6dc26c1ac9044d0c97ab9d2bc611ed2c,

title = "Crime investigation and analysis using neural nets",

abstract = "Crime investigation, with special reference to homicide cases, involves intensive and phase wise collection of data. We discuss a technique for comparing previously available data of the homicide cases with the current one. The system to be developed here is based upon an artificial neural network and is intended to be used by homicide detectives and other special task personnel for providing improved and sound reports to the courts of justice. The objective is thus to provide an automated crime analysis system (ACS) which is based upon an artificial neural network (ANN). The system also provides a crime visualization feature that gives the user a pictorial representation of crime details. This feature uses an incremental approach to represent the suspects and their concerns. Thus an elaborate visual description is achieved.",

keywords = "Artificial neural networks, Data visualization, Forensics, Government, Information technology, Layout, Neural networks, Personnel, Senior citizens, Visual databases",

author = "Memon, \{Q. A.\} and S. Mehboob",

note = "Publisher Copyright: {\textcopyright} 2003 IEEE.; 7th IEEE International Multi Topic Conference, INMIC 2003 ; Conference date: 08-12-2003 Through 09-12-2003",

year = "2003",

doi = "10.1109/INMIC.2003.1416748",

language = "English",

series = "Proceedings - INMIC 2003: IEEE 7th International Multi Topic Conference",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

pages = "346--350",

booktitle = "Proceedings - INMIC 2003",

}

TY - GEN

T1 - Crime investigation and analysis using neural nets

AU - Memon, Q. A.

AU - Mehboob, S.

PY - 2003

Y1 - 2003

N2 - Crime investigation, with special reference to homicide cases, involves intensive and phase wise collection of data. We discuss a technique for comparing previously available data of the homicide cases with the current one. The system to be developed here is based upon an artificial neural network and is intended to be used by homicide detectives and other special task personnel for providing improved and sound reports to the courts of justice. The objective is thus to provide an automated crime analysis system (ACS) which is based upon an artificial neural network (ANN). The system also provides a crime visualization feature that gives the user a pictorial representation of crime details. This feature uses an incremental approach to represent the suspects and their concerns. Thus an elaborate visual description is achieved.

AB - Crime investigation, with special reference to homicide cases, involves intensive and phase wise collection of data. We discuss a technique for comparing previously available data of the homicide cases with the current one. The system to be developed here is based upon an artificial neural network and is intended to be used by homicide detectives and other special task personnel for providing improved and sound reports to the courts of justice. The objective is thus to provide an automated crime analysis system (ACS) which is based upon an artificial neural network (ANN). The system also provides a crime visualization feature that gives the user a pictorial representation of crime details. This feature uses an incremental approach to represent the suspects and their concerns. Thus an elaborate visual description is achieved.

KW - Artificial neural networks

KW - Data visualization

KW - Forensics

KW - Government

KW - Information technology

KW - Layout

KW - Neural networks

KW - Personnel

KW - Senior citizens

KW - Visual databases

UR - https://www.scopus.com/pages/publications/84865598174

UR - https://www.scopus.com/pages/publications/84865598174#tab=citedBy

U2 - 10.1109/INMIC.2003.1416748

DO - 10.1109/INMIC.2003.1416748

M3 - Conference contribution

AN - SCOPUS:84865598174

T3 - Proceedings - INMIC 2003: IEEE 7th International Multi Topic Conference

SP - 346

EP - 350

BT - Proceedings - INMIC 2003

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 7th IEEE International Multi Topic Conference, INMIC 2003

Y2 - 8 December 2003 through 9 December 2003

ER -

Crime investigation and analysis using neural nets

Abstract

Publication series

Other

UN SDGs

Keywords

ASJC Scopus subject areas

Access to Document

Other files and links

Fingerprint

Cite this