Research and Achievement of Customized Services in Electronic Commerce Based on Data Mining

Abstract:

As the amount of sales increases rapidly, amount of data become very huge, and the management of customers’ relationship also becomes a more complex problem. Using data mining to analyze data to discover the rules and knowledge among them so that customized services in electronic commerce could be sustained and enterprises’ sales could be more intelligential. With data mining, we can do the following things. Firstly, it analyzes the customers’ shopping behavior and preference with association rules so that it can provide the recommending in the shopping process to make customers getting the right goods more convenient and faster. Secondly, it uses decision tree to classify the customers so that it makes a better communication between customers, provides customized shopping user interface to them and gives the pertinent advertisement to them.

• Periodical: Advanced Materials Research (Volumes 546-547)
• Pages: 452-457
• DOI: https://doi.org/10.4028/www.scientific.net/AMR.546-547.452
• Online since: July 2012
• Authors: Ping Ping Chen, Ding Ying Tan, Xiu Feng Liu
• Keywords: Customized, Data Mining (DM), Electronic Commerce

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