Modeling the fraud-like investment founds by Petri nets
AbstractIn this paper we model the fraud-like investment founds using place-transition Petri nets. We will also classify the business using regression line in order to find the possible fraud-like investment founds. In these regression lines we compute analytical the mark of a place in function of some other elements of the Petri net, and next we express this value in function of the same elements using regression. From the identity of the coefficients we find a ratio between two weights of arcs. We make also a program where the marks and transitions are implemented as classes for Petri nets, and, using the heritage mechanism we extend the Petri net to Petri net with priorities.
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Bibliographic InfoPaper provided by University Library of Munich, Germany in its series MPRA Paper with number 23589.
Date of creation: Mar 2010
Date of revision: May 2010
Petri nets; fraud-like investment founds; objects programming.;
Find related papers by JEL classification:
- C51 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Model Construction and Estimation
- G23 - Financial Economics - - Financial Institutions and Services - - - Non-bank Financial Institutions; Financial Instruments; Institutional Investors
This paper has been announced in the following NEP Reports:
- NEP-ALL-2010-07-10 (All new papers)
Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:
- Ciuiu, Daniel, 2008. "Pattern classification using polynomial and linear regression," MPRA Paper 15355, University Library of Munich, Germany.
- Albu, Lucian Liviu, 2008. "A Model To Estimate Spatial Distribution Of Informal Economy," Journal for Economic Forecasting, Institute for Economic Forecasting, vol. 5(4), pages 111-124, December.
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