{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,8,2]],"date-time":"2025-08-02T17:36:34Z","timestamp":1754156194430,"version":"3.41.2"},"reference-count":31,"publisher":"Emerald","issue":"5","license":[{"start":{"date-parts":[[2014,9,2]],"date-time":"2014-09-02T00:00:00Z","timestamp":1409616000000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.emerald.com\/insight\/site-policies"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2014,9,2]]},"abstract":"<jats:sec>\n               <jats:title content-type=\"abstract-heading\">Purpose<\/jats:title>\n               <jats:p> \u2013 The purpose of this paper is to introduce architecture of an Intelligent Decision Support System to fulfill the emerging responsibilities of law enforcement agencies. <\/jats:p>\n            <\/jats:sec>\n            <jats:sec>\n               <jats:title content-type=\"abstract-heading\">Design\/methodology\/approach<\/jats:title>\n               <jats:p> \u2013 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. <\/jats:p>\n            <\/jats:sec>\n            <jats:sec>\n               <jats:title content-type=\"abstract-heading\">Findings<\/jats:title>\n               <jats:p> \u2013 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. <\/jats:p>\n            <\/jats:sec>\n            <jats:sec>\n               <jats:title content-type=\"abstract-heading\">Research limitations\/implications<\/jats:title>\n               <jats:p> \u2013 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. <\/jats:p>\n            <\/jats:sec>\n            <jats:sec>\n               <jats:title content-type=\"abstract-heading\">Practical implications<\/jats:title>\n               <jats:p> \u2013 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. <\/jats:p>\n            <\/jats:sec>\n            <jats:sec>\n               <jats:title content-type=\"abstract-heading\">Originality\/value<\/jats:title>\n               <jats:p> \u2013 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.<\/jats:p>\n            <\/jats:sec>","DOI":"10.1108\/jeim-10-2012-0073","type":"journal-article","created":{"date-parts":[[2014,11,16]],"date-time":"2014-11-16T08:38:10Z","timestamp":1416127090000},"page":"512-540","source":"Crossref","is-referenced-by-count":14,"title":["A framework of intelligent decision support system for Indian 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   , \n                  Deana, G.\n                and \n                  Gottschalkb, P.\n                (2010), \u201cInformation management in law enforcement: the case of police intelligence strategy implementation\u201d, International Journal of Information Management, Vol. 30 No. 4, pp. 343-349.","DOI":"10.1016\/j.ijinfomgt.2010.01.002"},{"key":"key2020122901214930200_b3","doi-asserted-by":"crossref","unstructured":"Bhargava, H.K.\n               , \n                  Power, D.J.\n                and \n                  Sun, D.\n                (2007), \u201cProgress in web-based decision support technologies\u201d, Decision Support Systems, Vol. 43 No. 4, pp. 1083-1095.","DOI":"10.1016\/j.dss.2005.07.002"},{"key":"key2020122901214930200_b4","doi-asserted-by":"crossref","unstructured":"Bilenko, M.\n               , \n                  Basu, S.\n                and \n                  Mooney, R.\n                (2004), \u201cIntegrating constraints and metric learning in semi-supervised clustering\u201d, Proceedings of International Conference on Machine Learning (ICML), pp. 81-88.","DOI":"10.1145\/1015330.1015360"},{"key":"key2020122901214930200_b5","unstructured":"Boba, R.\n                (2001), Introductory Guide to Crime Analysis and Mapping, US Department of Justice, Washington, DC."},{"key":"key2020122901214930200_b6","unstructured":"Breiman, L.\n               , \n                  Friedman, J.\n               , \n                  Olsen, H.R.A.\n                and \n                  Stone, C.J.\n                (1984), Classification and Regression Trees, Chapman and Hall, New York, NY."},{"key":"key2020122901214930200_b7","unstructured":"Chandra, B.\n               , \n                  Gupta, M.\n                and \n                  Gupta, M.P.\n                (2007), \u201cAdaptive query interface for mining crime data\u201d, Lecture Notes in Computer Science (LNCS), Vol. 4777, pp. 285-296, available at: http:\/\/link.springer.com\/chapter\/10.1007%2F978-3-540-75512-8_20"},{"key":"key2020122901214930200_b8","doi-asserted-by":"crossref","unstructured":"Chandra, B.\n               , \n                  Gupta, M.\n                and \n                  Gupta, M.P.\n                (2008), \u201cA multivariate time series clustering approach for crime trends prediction\u201d, IEEE SMC Conference, Singapore, pp. 892-896.","DOI":"10.1109\/ICSMC.2008.4811393"},{"key":"key2020122901214930200_b9","doi-asserted-by":"crossref","unstructured":"Charnes, A.\n               , \n                  Cooper, W.W.\n                and \n                  Rhoades, E.\n                (1978), \u201cMeasuring the efficiency of decision making units\u201d, European Journal of Operational Research, Vol. 2 No. 6, pp. 429-444.","DOI":"10.1016\/0377-2217(78)90138-8"},{"key":"key2020122901214930200_b10","doi-asserted-by":"crossref","unstructured":"Chen, H.\n               , \n                  Schroeder, J.\n               , \n                  Hauck, R.V.\n               , \n                  Ridgeway, L.\n               , \n                  Atabakhsh, H.\n               , \n                  Gupta, H.\n               , \n                  Boarman, C.\n               , \n                  Rasmussen, K.\n                and \n                  Clements, A.W.\n                (2003), \u201cCOPLINK connect: information and knowledge management for law enforcement\u201d, Decision Support Systems, Vol. 34 No. 3, pp. 271-285.","DOI":"10.1016\/S0167-9236(02)00121-5"},{"key":"key2020122901214930200_b11","doi-asserted-by":"crossref","unstructured":"Cheung, W.\n               , \n                  Leung, L.C.\n                and \n                  Tam, P.C.F.\n                (2005), \u201cAn intelligent decision support system for service network planning\u201d, Decision Support Systems, Vol. 39 No. 3, pp. 415-428.","DOI":"10.1016\/j.dss.2003.09.007"},{"key":"key2020122901214930200_b12","doi-asserted-by":"crossref","unstructured":"Chung, W.\n               , \n                  Chen, H.\n               , \n                  Chang, W.\n                and \n                  Chou, S.\n                (2006), \u201cFighting cybercrime: a review and the Taiwan experience\u201d, Decision Support Systems, Vol. 41 No. 3, pp. 669-682.","DOI":"10.1016\/j.dss.2004.06.006"},{"key":"key2020122901214930200_b13","unstructured":"Dy, J.\n                and \n                  Brodley, C.\n                (2004), \u201cFeature selection for unsupervised learning\u201d, Journal of Machine Learning Research, Vol. 5, January, pp. 845-889."},{"key":"key2020122901214930200_b15","unstructured":"Gupta, M.\n               , \n                  Chandra, B.\n                and \n                  Gupta, M.P.\n                (2007), \u201cCrime data mining for Indian police information system\u201d, Proceedings of 5th International Conference on E-Governance (ICEG), Hyderabad, pp. 388-397."},{"key":"key2020122901214930200_b16","unstructured":"Gupta, M.\n               , \n                  Chandra, B.\n                and \n                  Gupta, M.P.\n                (2008), \u201cRanking police administration units on the basis of crime prevention measures using data envelopment analysis and clustering\u201d, Proceedings of 6th International Conference on E-Governance (ICEG), IIT Delhi, pp. 40-53."},{"key":"key2020122901214930200_b14","unstructured":"Gupta, M.P.\n                and \n                  Mitra, R.K.\n                (2005), \u201cAssessing internal efficiency, employees and public satisfaction in police E-governance\u201d, 3rd International Conference on E-Governance, pp. 77-84."},{"key":"key2020122901214930200_b17","unstructured":"Han, J.\n                and \n                  Kamber, M.\n                (2006), Data Mining: Concepts and Techniques, 2nd ed., Morgan 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(2003), Preparing the Indian Police for 21st Century, Puliani and Puliani, Bangalore."},{"key":"key2020122901214930200_b22","unstructured":"Levine, N.\n                (2002), CrimeStat 2.0: A Spatial Statistics Program for the Analysis of Crime Incident Locations, US Department of Justice, Washington, DC."},{"key":"key2020122901214930200_b23","doi-asserted-by":"crossref","unstructured":"Mitra, R.K.\n                and \n                  Gupta, M.P.\n                (2008), \u201cA contextual perspective of performance assessment in E-government: a study of Indian police administration\u201d, Government Information Qtly, Vol. 25 No. 2, pp. 278-302.","DOI":"10.1016\/j.giq.2006.03.008"},{"key":"key2020122901214930200_b24","doi-asserted-by":"crossref","unstructured":"Oatleya, C.G.\n                and \n                  Brain, W.E.\n                (2003), \u201cCrimes analysis software: \u2018pins in maps\u2019, clustering and bayes net prediction\u201d, Expert Systems with 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