Data Mining Technology Applications in Tobacco Commercial Enterprise

Yi Min Mo; Xin Shun Tong; Li Hua Yang

doi:10.4028/www.scientific.net/AMR.461.418

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HomeAdvanced Materials ResearchAdvanced Materials Research Vol. 461Data Mining Technology Applications in Tobacco...

Data Mining Technology Applications in Tobacco Commercial Enterprise

Abstract:

The wide application of information technology has greatly improve the work efficiency but also caused a large and complex data accumulation. How to get the valuable information from vast amounts of data are the key issues in data processing. This paper studied the application of data mining technology in tobacco commercial enterprise from three aspects: market demand forecasting, customer relationship management and historical data processing. Analysis of how to use data mining technology to make full use of large amounts of data to provide a basis for tobacco commercial enterprise’s decision-making.

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Periodical:

Advanced Materials Research (Volume 461)

Pages:

418-420

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.461.418

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Online since:

February 2012

Authors:

Yi Min Mo, Xin Shun Tong, Li Hua Yang

Keywords:

Customer, Data Mining (DM), Market Demand Forecasting, Tobacco Commercial Enterprise

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