Pregled bibliografske jedinice broj: 867195
Particle Swarm Optimization Algorithm as a Tool for Profiling from Predictive Data Mining Models
Particle Swarm Optimization Algorithm as a Tool for Profiling from Predictive Data Mining Models // Handbook of Research on Swarm Intelligence in Engineering / Siddhartha Bhattacharyya (RCC Institute of Information Technology, India) and Paramartha Dutta (Visva-Bharati University, India) (ur.)., 2015. str. 406-434
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Naslov
Particle Swarm Optimization Algorithm as a Tool for Profiling from Predictive Data Mining Models
Autori
Klepac, Goran
Vrsta, podvrsta i kategorija rada
Poglavlja u knjigama, znanstveni
Knjiga
Handbook of Research on Swarm Intelligence in Engineering
Urednik/ci
Siddhartha Bhattacharyya (RCC Institute of Information Technology, India) and Paramartha Dutta (Visva-Bharati University, India)
Izdavač
IGI Global
Godina
2015
Raspon stranica
406-434
ISBN
9781466682917
Ključne riječi
Swarm intelligence
Sažetak
This chapter introduces the methodology of particle swarm optimization algorithm usage as a tool for finding customer profiles based on a previously developed predictive model that predicts events like selection of some products or services with some probabilities. Particle swarm optimization algorithm is used as a tool that finds optimal values of input variables within developed predictive models as referent values for maximization value of probability that customers select/buy a product or service. Recognized results are used as a base for finding similar profiles between customers. The presented methodology has practical value for decision support in business, where information about customer profiles are valuable information for campaign planning and customer portfolio management.
Izvorni jezik
Engleski
Znanstvena područja
Informacijske i komunikacijske znanosti
