Journal of Liaoning Petrochemical University
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Application of Embedded Database in Data Mining System
LIU Yang, YU Chen-yun, ZHANG Xue-jun
Abstract472)      PDF (179KB)(302)      
The embedded database is a new database technology. It was created along with the development of Web technology, business intelligent technology and mobile computing technology. The reason why data mining system used embedded database was analyzed. Derby database was made into a separate Eclipse plug-in unit and the unit was applied to data mining system in order to meet the specific needs. The application of embedded database used in data mining system not only addresses the data management issues, but also ensures the portability of the system.
2010, 30 (4): 63-65. DOI: 10.3696/j.issn.1672-6952.2010.04.018
Design and Implementation of Data Mining Platform Based on Plug-in Technology
YU Chen-yun, LIU Yang*, ZHOU Jin-zhi
Abstract383)      PDF (332KB)(259)      
 
The Eclipse plug-in technology and data mining techniques were introduced. It was analyzed the mainstream of today’s open source data mining platforms, and it was compared, collated and summarized by means of experiments. Based on the experiments, the solution scheme was proposed. It was designed and implemented that an open source data mining platform based on Eclipse plug-in technology. The platform is modular, so it’s easy to maintain and extend. And there is no dependency between its processing unit and the data container, which makes it more suitable to a distributed environment and independent development.
2010, 30 (2): 46-49. DOI: 10.3696/j.issn.1672-6952.2010.02.013
Application of CRM Based on Data Mining  Technology in Petrochemical Enterprise
WANG Zheng-yang, LIU Yang, ZHANG Jie, YU Chen-yun, ZHOU Jin-zhi
Abstract578)      PDF (405KB)(208)      
The application of data mining in CRM (Customer Relationship Management) is a hot spot in recent years. CRM refers to the enterprise's approach to understand and influence customer behavior through meaningful communications in order to improve customer acquisition, customer retention, customer loyalty, and customer profitability. Adopting different services to different customers is based on the accumulation of vast amounts of data by the enterprise. The effective way to get the knowledge from these data is the technology of DM (Data Mining), which will provide basis for leader's decision-making, and achieve the objectives of CRM. The basic theory of the customer relationship management and data mining technology, and the application of DM in petrochemical enterprise CRM were discussed.
2009, 29 (4): 78-80.