Research of Data Graph Mining Based on Telecommunication Customers

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.

• Periodical: Applied Mechanics and Materials (Volume 443)
• Pages: 402-406
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.443.402
• Online since: October 2013
• Authors: Shang Gao, Mei Mei Li
• Keywords: Classification, Clustering, Data Mining (DM), Graph Data Model, Telecommunication Customers

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