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Customer Profiling in Complex Analytical Environments Using Swarm Intelligence Algorithms (CROSBI ID 58346)

Prilog u knjizi | izvorni znanstveni rad

Klepac, Goran 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.).: IGI Global, 2017. str. 1391-1422

Podaci o odgovornosti

Klepac, Goran

engleski

Customer Profiling in Complex Analytical Environments Using Swarm Intelligence Algorithms

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.

Swarm Intelligence

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nije evidentirano

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nije evidentirano

nije evidentirano

Podaci o prilogu

1391-1422.

objavljeno

Podaci o knjizi

Nature-Inspired Computing: Concepts, Methodologies, Tools, and Applications (3 Volumes)

Information Resources Management Association (USA)

IGI Global

2017.

9781522507888

Povezanost rada

Povezane osobe




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