Naslov
Efficient Risk Profiling Using Bayesian Networks and Particle Swarm Optimization Algorithm

Autori
Klepac, Goran ; Kopal, Robert ; Mršić, Leo

Vrsta, podvrsta i kategorija rada
Poglavlja u knjigama, znanstveni

Knjiga
Psychology and Mental Health: Concepts, Methodologies, Tools, and Applications (3 Volumes)

Urednik/ci
Information Resources Management Association (USA)

Izdavač
IGI Global

Godina
2016

Raspon stranica
1580-1612

ISBN
9781522501596

Ključne riječi
Risk Profiling Using Bayesian Networks

Sažetak
Chapter introduce usage of particle swarm optimization algorithm and explained methodology, as a tool for discovering customer profiles based on previously developed Bayesian network (BN). Bayesian network usage is common known method for risk modelling although BN's are not pure statistical predictive models (like neural networks or logistic regression, for example) because their structure could also depend on expert knowledge. Bayesian network structure could be trained using algorithm but, from perspective of businesses requirements model efficiency and overall performance, it is recommended that domain expert modify Bayesian network structure using expert knowledge and experience. Chapter will also explain methodology of using particle swarm optimization algorithm as a tool for finding most riskiness profiles based on previously developed Bayesian network. Presented methodology has significant practical value in all phases of decision support in business environment (especially for complex environments).

Izvorni jezik
Engleski

Znanstvena područja
Računarstvo, Informacijske i komunikacijske znanosti

POVEZANOST RADA