Design and Implementation of Airline Customer Segmentation System Based on Ant Colony Clustering Algorithm
| Periodical | Advanced Materials Research (Volumes 433 - 440) |
|---|---|
| Main Theme | Materials Science and Information Technology |
| Edited by | Cai Suo Zhang |
| Pages | 3357-3361 |
| DOI | 10.4028/www.scientific.net/AMR.433-440.3357 |
| Citation | Li Feng Wei, 2012, Advanced Materials Research, 433-440, 3357 |
| Online since | January, 2012 |
| Authors | Li Feng Wei |
| Keywords | Airlines, Ant Colony Clustering, Customer Segmentation |
| Price | US$ 28,- |
Segmentation based on customer value and needs can better guide marketing decision-making of airlines as well as better understand needs of high-value passengers. To address customer segmentation in Customer Relationship Management (CRM), the paper proposed and designed airline customer segmentation system structure based on ant colony clustering. The key ant colony clustering algorithm was also designed and implemented. The ant colony clustering algorithm mainly used adaptively adjusted group similarity to perform clustering and access to initial clustering result. Then all data representation points and abnormal data were inputted into lattice plane scattered randomly. Ant colony algorithm was used for clustering once again and corresponding class label was used to delete abnormal values and obtain complete clusters. Data test example based on ant colony clustering customer analysis platform illustrated its feasibility and effectiveness
