期刊名称：TELKOMNIKA (Telecommunication Computing Electronics and Control)
印刷版ISSN：2302-9293
出版年度：2016
卷号：14
期号：2A
页码：396-402
DOI：10.12928/telkomnika.v14i2A.4375
语种：English
出版社：Universitas Ahmad Dahlan
摘要：Large data environment is required to build a data mining system for O2O e-commerce. This paper analyzes the characteristics of large data era data, expounds the concept of data mining and the method of traditional data mining. Process: the use of the results of comparative analysis, it combined with the characteristics of the O2O data itself and the needs of modern people to establish a new privacy preserving association rules mining model. Through the theoretical analysis of the new data mining model, it can be found that the model can be used to protect the privacy of data mining, data mining can provide the necessary data support for the development of enterprises. Conclusion: it is proved that the data mining system is practical and effective.
其他摘要：Large data environment is required to build a data mining system for O2O e-commerce. This paper analyzes the characteristics of large data era data, expounds the concept of data mining and the method of traditional data mining. Process: the use of the results of comparative analysis, it combined with the characteristics of the O2O data itself and the needs of modern people to establish a new privacy preserving association rules mining model. Through the theoretical analysis of the new data mining model, it can be found that the model can be used to protect the privacy of data mining, data mining can provide the necessary data support for the development of enterprises. Conclusion: it is proved that the data mining system is practical and effective.
关键词：big data; data mining; privacy; electronic commerce.
