Modeling the fraud-like investment founds by Petri nets
In 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.
|Date of creation:||Mar 2010|
|Date of revision:||May 2010|
|Publication status:||Published in Proceedings of the XII-th International Simposium SYMORG, June 9-12 2010, Zlatibor, Serbia (2010): pp. 3058-3070|
|Contact details of provider:|| Postal: Ludwigstraße 33, D-80539 Munich, Germany|
Web page: https://mpra.ub.uni-muenchen.de
More information through EDIRC
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.
When requesting a correction, please mention this item's handle: RePEc:pra:mprapa:23589. See general information about how to correct material in RePEc.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Joachim Winter)
If references are entirely missing, you can add them using this form.