A framework of intelligent decision support system for Indian police. Issue 5 (2014)
- Record Type:
- Journal Article
- Title:
- A framework of intelligent decision support system for Indian police. Issue 5 (2014)
- Main Title:
- A framework of intelligent decision support system for Indian police
- Authors:
- Manish Gupta
B. Chandra
M.P. Gupta - Abstract:
- <abstract> <title> <x xml:space="preserve"> Abstract </x> </title> <p> <bold>Purpose</bold> – The purpose of this paper is to introduce architecture of an Intelligent Decision Support System to fulfill the emerging responsibilities of law enforcement agencies. <bold>Design/methodology/approach</bold> – The proposed Intelligent Police System (IPS) is designed to meet the emerging requirements and provide information at all levels of decision making by introducing a multi‐level structure of user interface and crime analysis model. The proposed framework of IPS is based on data mining and performance measurement techniques to extract useful information like crime hot spots, predict crime trends and rank police administration units on the basis of crime prevention measures. <bold>Findings</bold> – IPS has been implemented on actual Indian crime data provided by National Crime Records Bureau (NCRB), which illustrates effectiveness and usefulness of the proposed system. IPS can play a vital role in improving outcome in the crime investigation, criminal detection and other major areas of functioning of police organization by analyzing the crime data and sharing of the information. <bold>Research limitations/implications</bold> – The research in intelligent police information system can be enhanced with some important additional features which include web‐base management system, geographical information system, mobile adhoc network technology, etc. <bold>Practical<abstract> <title> <x xml:space="preserve"> Abstract </x> </title> <p> <bold>Purpose</bold> – The purpose of this paper is to introduce architecture of an Intelligent Decision Support System to fulfill the emerging responsibilities of law enforcement agencies. <bold>Design/methodology/approach</bold> – The proposed Intelligent Police System (IPS) is designed to meet the emerging requirements and provide information at all levels of decision making by introducing a multi‐level structure of user interface and crime analysis model. The proposed framework of IPS is based on data mining and performance measurement techniques to extract useful information like crime hot spots, predict crime trends and rank police administration units on the basis of crime prevention measures. <bold>Findings</bold> – IPS has been implemented on actual Indian crime data provided by National Crime Records Bureau (NCRB), which illustrates effectiveness and usefulness of the proposed system. IPS can play a vital role in improving outcome in the crime investigation, criminal detection and other major areas of functioning of police organization by analyzing the crime data and sharing of the information. <bold>Research limitations/implications</bold> – The research in intelligent police information system can be enhanced with some important additional features which include web‐base management system, geographical information system, mobile adhoc network technology, etc. <bold>Practical implications</bold> – IPS can easily be applied to any police system in the world and can equally be useful for any law enforcement agencies for carrying out homeland security effectively. <bold>Originality/value</bold> – The research reported in this manuscript is outcome of the research project funded by NCRB. This paper is the first attempt to build framework of IPS for Indian police who deal with large volume and high rate of crimes that are unmatched to any police force of the world.</p> <ack> <title> <x xml:space="preserve"> Acknowledgements </x> </title> <p>This paper is an outcome of a project funded by National Crime Records Bureau (NCRB), New Delhi. The authors are thankful to the Director NCRB and the team for sharing valuable knowledge in this field. The authors are also thankful to anonymous reviewers for their valuable comments which were found helpful in improving the manuscript.</p> </ack> </abstract> … (more)
- Is Part Of:
- Journal of enterprise information management. Volume 27:Issue 5(2014)
- Journal:
- Journal of enterprise information management
- Issue:
- Volume 27:Issue 5(2014)
- Issue Display:
- Volume 27, Issue 5 (2014)
- Year:
- 2014
- Volume:
- 27
- Issue:
- 5
- Issue Sort Value:
- 2014-0027-0005-0000
- Page Start:
- 512
- Page End:
- 540
- Publication Date:
- 2014
- Subjects:
- Management information systems -- Periodicals
Business logistics -- Periodicals
Business -- Data processing -- Periodicals
Management -- Data processing -- Periodicals
658.05 - Journal URLs:
- http://info.emeraldinsight.com/products/journals/journals.htm?id=jeim ↗
http://www.emeraldinsight.com/ ↗ - DOI:
- 10.1108/JEIM-10-2012-0073 ↗
- Languages:
- English
- ISSNs:
- 1741-0398
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 4979.291700
British Library DSC - BLDSS-3PM
British Library HMNTS - ELD Digital store - Ingest File:
- 2965.xml