Application of Kernel DBSCAN Algorithm in Civil Aviation Customer Segmentation

doi:10.3969/j.issn.1000-3428.2012.10.020

Computer Engineering ›› 2012, Vol. 38 ›› Issue (10): 70-73.

• Networks and Communications • Previous Articles Next Articles

Application of Kernel DBSCAN Algorithm in Civil Aviation Customer Segmentation

PAN Ling-ling ^1, ZHANG Yu-ping ^1, XU Tao ^1,2,3

(1. College of Computer Science and Technology, Nanjing University of Aeronautics and Astronautics, Nanjing 210016, China; 2. College of Computer Science and Technology, Civil Aviation University of China, Tianjin 300300, China; 3. Information Technology Research Base of CAAC, Tianjin 300300, China)

Received:2011-09-21 Online:2012-05-20 Published:2012-05-20

核DBSCAN算法在民航客户细分中的应用

潘玲玲 ¹，张育平 ¹，徐涛^1,2,3

(1. 南京航空航天大学计算机科学与技术学院，南京 210016；2. 中国民航大学计算机科学与技术学院，天津 300300； 3. 中国民航信息技术科研基地，天津 300300)

作者简介:潘玲玲(1987－)，女，硕士研究生，主研方向：数据挖掘；张育平，副教授；徐涛，教授、博士生导师
基金资助:
国家“863”计划基金资助重点项目“基于服务架构的民航公众信息服务平台”(2006AA12A106)；中国民用航空局科技基金资助项目(MHRD201130)

Abstract

Abstract: This paper proposes a kernel-based DBSCAN algorithm which is aiming at the complexity of the civil aviation passenger behavior. The algorithm uses the DBSCAN clustering technology, combines with the nuclear mapping mechanism, and realizes civil aviation customer segmentation. Experimental results show that the method can highlight the differences between samples, and also can reduce the confusion of the clustering results and the cluster purity is improved by nearly 30%.

Key words: Customer Relationship Management(CRM), data mining, kernel DBSCAN algorithm, civil aviation customer segmentation

摘要： 针对民航客户行为数据的复杂性，运用数据挖掘中的DBSCAN聚类技术，结合核映射机理，提出一种基于核的DBSCAN算法，用于实现民航客户的细分。实验结果表明，该方法能突出客户之间的行为特征差异，降低聚类结果的混乱性，且其聚类纯度比原DBSCAN算法约提升30%。

关键词: 客户关系管理, 数据挖掘, 核DBSCAN算法, 民航客户细分

CLC Number:

TP391

BO Ling-Ling, ZHANG Yo-Beng, XU Chao. Application of Kernel DBSCAN Algorithm in Civil Aviation Customer Segmentation[J]. Computer Engineering, 2012, 38(10): 70-73.

潘玲玲, 张育平, 徐涛. 核DBSCAN算法在民航客户细分中的应用[J]. 计算机工程, 2012, 38(10): 70-73.

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https://www.ecice06.com/EN/Y2012/V38/I10/70

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