پیش‌بینی جرم با استفاده از آزمون شخصیت‌شناسی مایرز- بریگز مطالعه موردی دانشجویان دانشگاه فردوسی مشهد

Adderley, Richard and Max Bramer (2007), “Review of Current Crime Prediction Techniques”, International Conference on Innovative Techniques and Applications of Artificial Intelligence, pp.233- 237

Bayley, D. H. (2001), Managing the future: Prospective issues in Canadian policing. Ottawa, ON: Canada Solicitor General

Beck, Ulrich (2002), “The terrorist threat: World risk society revisited”, Theory, Culture and Society 19(4)

Bennett, G. (1987). The future of crime in America. New York: Anchor Press.

Braga, A.A. and R. V. Clarke (2014), Explaining high-risk concentrations of crime in the city: Social disorganization, crime opportunities, and important next steps, Journal of Research in Crime andDelinquency, http://jrc.sagepub.com/content/early/2014/01/29/0022427814521217.abstract.

Chainey, S.  and Tompson, L.  (2012), “Engagement, empowerment and transparency”: Publishing crime statistics using online crime mapping, Policing, 6 (3) pp.228–239

Clarke, Lee (2006), Worst cases: Terror and catastrophe in the popular imagination. Chicago, IL: University of Chicago Press

Costa PT, McCrae RR. (1992), Four ways five factors are basic. Pers Individ Dif.13:pp.653-65

Deadman, D. (2003). “Forecasting residential burglary”, International Journal of Forecasting, Volume 19( 4) pp.567-578

Dhiri, S., Brand S., Harries R., & Price R. (1999). Modelling and predicting property crime trends in England and Wales. Research Study 198. London: Home Office, Research Development and Statistics Directorate.

Drake, E. S. Aos, and M. Miller (2009), Evidence-based public policy options to reduce crime and criminal justice costs: Implications in washington state, Victims and Offenders, 4 (2)  pp.170–196

Eck, J.  Chainey, S. Cameron, J.  and Wilson, R. (2005), Mapping crime: Understanding hotspots, Technical Report

Eysenck HJ. (1952), Schizothymia-Cyclothymia as a dimension of personality: II. Experimental. J Pers; 20: pp.345-84

Farrington, D.P. (2000), Explaining and preventing crime: The globalization of knowledge- The American Society of Criminology 1999 presidential address, Criminology 38(1)

Feeley, M & Simon, J. (1992), The new penology: Notes on the emerging strategy of communication and its implications, Criminology, 39(4)

Frey, Bruno and Simon Luechinger (2003), “How to fight terrorism: Alternatives to deterrence”, Defense and Peace Economics 14(4)

Glaser, D. (1958) who gets probation and parole: case study versus acturial decision making. Crime and delinquency, 31(3)

Han J, Kamber M, Pei J. (2011), Data Mining: Concepts and Techniques. Philadelphia: Elsevier.

Harrington, R. and D. A. Loffredo (2001), “The relationship between life satisfaction, selfconsciousness and the Myers-Briggs Type Inventory dimensions”, J Pshchol, vol. 135

Johnson, S. D. (2010),  A brief history of the analysis of crime concentration, European Journal of Applied Mathematics, 21: 4-5 pp.349–370

Kampen, Dirk van (2009), Personality and Psychopathology: a Theory-Based Revision of Eysenck’s PEN Model, Clinical Practice & Epidemiology in Mental Health, 5, 9-21

Kang, H.W.; Kang, H.B. (2017), Prediction of crime occurrence from multi-modal data using deep learning. PLoS ONE,

Kim, M, R. and Han, S. J.  (2014), “The characteristics of the Myers-Briggs Type Indicator in nursing students”, Advanced Science and Technology Letters, vol. 47, No. 305.

Levine, N.  (2013), Hot spot analysis of zones, in Quickguide to CrimeStat IV (CrimeStat IV: A Spatial Statistics Program for the Analysis of Crime Incident Locations, Version 4.0

Maurutoo, P. and Human - Moffat, K. (2005), Assembling Risk and The Restructuring of Penal Control, Oxford University Press

Myers, I. and McCaulley, M. (1985). Manual: A Guide to the Development and Use of the Myers-Briggs Type Indicator. Palo Alto, CA: Consulting Psychologists.

Oh, Y. k., Jang, J. Y.,  Park, S. H.  and Ryu, S. Y.  (2007) “The Characteristics of the MyersBriggs Type Indicator in Premedical Students”, Med J Chosun Univ, vol. 32

Plato. (1925), Protagoras. Translated by W. R. M. Lamb. Loeb Classical Library, vol. 4. London: Heinemann,

Plaut, S. (2004), Misplaced applications of economic theory to the Middle East, Public Choice 118(1)

Rushton, S. Morgan, J. and Richard, M. (2007) “Teacher‟s Myers-Briggs Personality Profiles: Identifying effective teacher personality Traits”, Teaching & Teacher Educ, vol. 23

Santos, R. B.  (2012), Effectiveness of police in reducing crimes and the role of crime analysis, in Crime Analysis with Crime Mapping, Sage Publication.

Shah, Neli,  Nandish Bhagat  and Manan Shah (2021), Crime forecasting: a machine learning and computer vision approach to crime prediction and prevention, Visual Computing for Industry, Biomedicine, and Art, volume 4

Short, M. B. M. R. D’Orsogna, V. B. Pasour, G. E. Tita, P. J. Brantingham, A. L. Bertozzi, and L. B. Chayes (2008), A statistical model of criminal behavior, Mathematical Models and Methods in Applied Sciences, 18, pp.1249–1267.

Steel, L. and Young, S. (2008), “A comparison of Music Education and Music Therapy Majors: Personality Types as Described by the Myers-Briggs Type Indicator and Demographic Profiles”, J Music Ther, vol. 45, No. 2.

Tan J. (2008). Medical Informatics: Concepts, Methodologies, Tools, and Applications. Hershey: IGI Global snippet

Tompson, L., Johnson, S., Ashby, M., Perkins, C. and Edwards, P. (2015), UK open source crime data: accuracy and possibilities for research, Cartography and Geographic Information Science, 42 (2) pp.97–111

ToppiReddya, Hitesh Kumar Reddy, Bhavna Saini and Ginika Mahajan (2018), Crime Prediction & Monitoring Framework Based on Spatial Analysis, Procedia Computer Science 132, pp.696–705

Tyler, Tom R. and Darley, John M. (2000) “Building a Law-Abiding Society: Taking Public Views About Morality and the Legitimacy of Legal Authorities into Account When Formulating Substantive Law,” Hofstra Law Review: Vol. 28(3) pp.707- 739

Wager KA, Lee FW, Glaser J.P. (2005), Managing Health Care Information Systems: A Practical Approach for Health Care Executives. New Jersey: John Wiley & Sons