Pregled bibliografske jedinice broj: 867172
Customer Profiling in Complex Analytical Environments Using Swarm Intelligence Algorithms
Customer Profiling in Complex Analytical Environments Using Swarm Intelligence Algorithms // International Journal of Swarm Intelligence Research, 7 (2016), 3; 43-70 doi:10.4018/IJSIR.201607010 (međunarodna recenzija, članak, znanstveni)
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Naslov
Customer Profiling in Complex Analytical
Environments Using Swarm Intelligence Algorithms
Autori
Klepac, Goran
Izvornik
International Journal of Swarm Intelligence Research (1947-9263) 7
(2016), 3;
43-70
Vrsta, podvrsta i kategorija rada
Radovi u časopisima, članak, znanstveni
Ključne riječi
swarm intelligence ; profiling
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
Citiraj ovu publikaciju:
Časopis indeksira:
- Web of Science Core Collection (WoSCC)
- Emerging Sources Citation Index (ESCI)
Uključenost u ostale bibliografske baze podataka::
- INSPEC
