Metrics

  • citations in SCIndeks: 0
  • citations in CrossRef:0
  • citations in Google Scholar:[]
  • visits in previous 30 days:1
  • full-text downloads in 30 days:0

Contents

article: 4 from 11  
Back back to result list
2018, vol. 4, iss. 2, pp. 128-142
Elements of multivariation analysis of crime on scarce meetings
aSequester Employment, Beograd
bFondacija Podrži život, Beograd
cVisoka škola modernog biznisa, Beograd
dJohn Naisbitt University, Faculty of Management, Zaječar

emailoffice@sequesteremployment.com, sekretar@podrzizivot.com, slobodan.stanojevic@mbs.edu.rs, tomislav.radovic@fmz.edu.rs
Keywords: method; crime; control; analysis; factors and variables of chrome; implicit knowledge; application; causes of crime
Abstract
Crime represents a harmful occurrence that is specific for each culture and socioeconomic formation. Due to this it is no surprise that there is an interest for crime in different areas of social sciences and life. Since crime is a burning topic of numerous scientific and expert analyses or researches, it can be concluded that it is an old mutual problem of all countries, old and new ones. It doesn't depend only on the sociopolitical order, but economic development and characteristical social factors and circumstances that exist in respective countries as well. Surprisingly large diversity of causes and circumstances that lead to the occurrence of crime demands a different approach to its research. It is possible and consists of the application of multivariate analysis, since it allows for many different ways of observing crime and taking more efficient actions aimed at its prevention and enabling of normal functioning and development of state and society.
Related article is available here.
References
Abbott, L.J., Park, Y., Parker, S. (2000) The effects of audit committee activity and independence on corporate fraud. Managerial Finance, 26(11): 55-68
Bell, T.B., Carcello, J.V. (2000) A Decision Aid for Assessing the Likelihood of Fraudulent Financial Reporting. Auditing: A Journal of Practice & Theory, 19(1): 169-184
Breiman, L. (2001) Machine Learning, 45(1): 5-32
Brown, A.S. (2008) To what extent does agricultural machinery maintenance pose clinical risk?. Clinical Risk March, 14(2), 59-62
Caffaro, F., Mirisola, A., Cavallo, E. (2017) Safety signs on agricultural machinery: Pictorials do not always successfully convey their messages to target users. Applied Ergonomics, 58: 156-166
Cherkassky, V., Mulier, F.M. (2007) Learning from data: Concepts, theory, and methods. John Wiley, 2nd edition
Cruz, A.M., Rincon, A.M.R. (2012) Agricultural machinery maintenance outsourcing: Have operation management research and management theories forgotten the medical engineering community?: A mapping review. European Journal of Operational Research, 221(1): 186-197
Cullinan, C.P., Sutton, S.G. (2002) Defrauding the public interest: A critical examination of reengineered audit processes and the likelihood of detecting fraud. Critical Perspectives on Accounting, 13(3): 297-310
Green, B.P., Choi.J.H. (1997) Assessing the risk of management fraud through neural-network technology. Auditing: A Journal of Practice and Theory, 16(1); 8-28
Maindonald, J., Braun, J. (2007) Data analysis and graphics using R. Cambridge: Cambridge University Press, 2nd Edition
Milojević, I., Mihajlović, M., Cvijanović, M. (2012) Impact of organizational failure of relevance consolidated budget. Ekonomika poljoprivrede, vol. 59, br. 1, str. 63-71
Platt, J.C. (1998) Sequential minimal optimization: A fast algorithm for training support vector machines. Microsoft Research, Technical Report MSR-TR-98-8
Quinlan, J.R. (1996) Bagging, boosting and C4.5. in: AAAI-96 Fourteenth national Conference on Artificial Intelligence, Portland, OR, AAAI Press, Proc. Of, Menlo Park, CA
Riveiro, J.A., Marey-Pérez, M.F., Díaz-Varela, E.R., Álvarez, C.J. (2010) A methodology for the analysis of the relationships between farms and their physical environment. Journal of Agricultural Science, 148(01): 101
 

About

article language: Serbian
document type: Review Paper
DOI: 10.5937/Oditor1802128J
published in SCIndeks: 24/09/2018

Related records

Oditor (2017)
Elements of multivariation analysis of crime on scarce meetings
Jeremić Dejan, et al.

Ekonomika poljoprivrede (2018)
Analysis of optimal costs for reserves of spare parts for agricultural machines
Mirčevski Marjan, et al.

Ekonomika poljoprivrede (2015)
Quality of research results in agro-economy by data mining
Vukelić Gordana, et al.

show all [17]