Pregled bibliografske jedinice broj: 867206
Customer Profiling in Complex Analytical Environments Using Swarm Intelligence Algorithms
Customer Profiling in Complex Analytical Environments Using Swarm Intelligence Algorithms // Nature-Inspired Computing: Concepts, Methodologies, Tools, and Applications (3 Volumes) / Information Resources Management Association (USA) (ur.)., 2017. str. 1391-1422
CROSBI ID: 867206 Za ispravke kontaktirajte CROSBI podršku putem web obrasca
Naslov
Customer Profiling in Complex Analytical Environments Using Swarm Intelligence Algorithms
Autori
Klepac, Goran
Vrsta, podvrsta i kategorija rada
Poglavlja u knjigama, znanstveni
Knjiga
Nature-Inspired Computing: Concepts, Methodologies, Tools, and Applications (3 Volumes)
Urednik/ci
Information Resources Management Association (USA)
Izdavač
IGI Global
Godina
2017
Raspon stranica
1391-1422
ISBN
9781522507888
Ključne riječi
Swarm intelligence
(Swarm Intelligence)
Sažetak
Customer profiling is always an interesting task from perspective of business. It became even bigger challenge in situation of complex analytical environment. Complex analytical environment can be caused by multiple modality of output variable as well as from big data environment, which cause data complexity in way of data quantity. As an illustration of presented concept particle swarm optimization algorithm will be used as a tool, which will find profiles from developed predictive model of neural network. Presented methodology has practical value for decision support in business, where information about customer profiles which prefers to buy some product or group products are valuable information for campaign planning and customer portfolio management.
Izvorni jezik
Engleski
Znanstvena područja
Informacijske i komunikacijske znanosti
