Research of Data Graph Mining Based on Telecommunication Customers

Author:

Gao Shang1,Li Mei Mei2

Affiliation:

1. Tsinghua University

2. Beijing Jiaotong University

Abstract

With the rapid development of the number of mobile phone users has accumulated a large number of graph data, graph data mining has gradually become a hot area of research. Traditional data such as clustering, classification, frequent pattern mining gradually extended to the field of graph data mining research. Introduced at this stage graph data mining technology research progress, summarizes the characteristics of the graphical data mining, practical significance, the main problem, and scenarios to discuss and forecast chart data, especially research on uncertain graph data become trends and hot spots.

Publisher

Trans Tech Publications, Ltd.

Reference6 articles.

1. Qiaoxiang Jie, Wang Wansen. Web-based and data-mining technology of intelligent tutoring systems. Microcomputer development, 2004 (8): 12 - 14.

2. Dan Ying. data warehouse-based CRM applications in telecommunication enterprises telecommunications technology, 2002. 1.

3. Zhang jia-ai, Zhang Liy-ing. Data mining technology. Jilin Agricultural University, 2008, (02).

4. Wenhua Jing, Chen Hongjuan. Based XML Web data mining Analysis. 2009, (04) Market Modernization.

5. Chen Chenggui. Warehouse management system based on data mining technology applications and research. University of Electronic Science and Technology, (2009).

Cited by 2 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Graph partitioning and visualization in graph mining: a survey;Multimedia Tools and Applications;2022-05-23

2. A Review of Big Graph Mining Research;IOP Conference Series: Materials Science and Engineering;2017-03

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