Name
Title | ||
|---|---|---|
Study of the effect of a rule based classifier modeled anti-corruption body in a neural network based environment |
Abstract | ||
|---|---|---|
A rigorous debate is going on the rules on which the Lokpal (an anti-corruption body) should work. In this paper rules have been defined on which an anti-corruption body will take decisions on a particular case. Three agents have been used -- citizen, bureaucrat and whistle blower to model the environment using neural network. External factors are defined which would affect the working of the Lokpal. The Lokpal body is modeled using rule-based classifier. The decisions of the above Lokpal model on corruption cases are studied. The effects of change in the external factors on the rate of corruption are discussed. |
Year | DOI | Venue |
|---|---|---|
2013 | 10.1145/2522548.2523139 | COMPUTE |
Keywords | Field | DocType |
neural network,corruption case,lokpal model,external factor,lokpal body,anti-corruption body,rule-based classifier,particular case,paper rule,rigorous debate,artificial neural network,hierarchy,bureaucracy,corruption | Data mining,Rule based classifier,Computer science,Artificial intelligence,Classifier (linguistics),Artificial neural network,Hierarchy,Machine learning,Corruption,Bureaucracy | Conference |
Citations | PageRank | References |
0 | 0.34 | 2 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Praveen Ranjan Srivastava | 1 | 162 | 25.97 |
| Rahul Kapoor | 2 | 27 | 3.42 |
| Rajat Gupta | 3 | 9 | 2.67 |