The Portrait Depiction of the Market Members Based on Data Mining
| Autor: | Jiequan Ou, Jinlan Guan, Cuifang Tang |
|---|---|
| Rok vydání: | 2019 |
| Předmět: |
Consumption (economics)
Information retrieval business.industry Computer science 05 social sciences k-means clustering 02 engineering and technology Portrait Artificial Intelligence 0502 economics and business 0202 electrical engineering electronic engineering information engineering Depiction 020201 artificial intelligence & image processing Computer Vision and Pattern Recognition Artificial intelligence business Software 050205 econometrics |
| Zdroj: | International Journal of Pattern Recognition and Artificial Intelligence. 34:2059024 |
| ISSN: | 1793-6381 0218-0014 |
| DOI: | 10.1142/s0218001420590247 |
| Popis: | Aiming at the problem of portrait of members in shopping malls, this paper analyzes the similarities and differences of consumption behaviors between member groups and nonmember groups, and constructs the LRFMC model with [Formula: see text]-means algorithm to analyze the value of membership. Second, active states of members are divided according to the consumption time interval, and KNN algorithm model is established to predict member states and used to predict the membership status. Finally, it discusses which types of goods are more suitable for promotional activities and can bring more profits to the shopping mall. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
|