基于多智能体的电子商务高效数据挖掘系统

Qiang Wu
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引用次数: 1

摘要

计算机科学和网络技术的发展,电子商务的迅速兴起,给贸易企业带来了无限商机。对于贸易公司来说,任何与消费者相关的信息都是非常有价值的,但是海量数据的搜索限制了电子商务的发展。将数据挖掘技术与多agent技术相结合,可以减少数据传输量,减轻网络负载,提高挖掘性能,有效保证数据的安全性。本文详细介绍了各个Agent的性能以及所采用的挖掘方法的基本思想。在此基础上,针对电子商务交易的业务背景和特点,设计了电子商务环境下基于Multi-Agent的数据挖掘系统。它可以达到准确有效地挖掘数据的目的,为用户提供个性化的服务,提高系统的运行效率。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
An Efficient Data Mining System Using Multi-agent of e-Commerce
The development of computer science and network technology, and the rapid emergence of e-commerce bring limitless business opportunity to trade company. For the trade company, any consumer-related information is very valuable, but searching for the enormous amount of data restricts the development of e-commerce. The combination of data mining technology with multi-Agent technology can decrease the amount of data transmission, lighten network load, improve mining performance and effectively guarantee the security of the data. This paper has introduced the performance of every Agent in detail and the basic thoughts of the mining method adopted. Furthermore, in view of the business backgrounds and characteristics of e-commerce trade, we design the data mining system based on Multi-Agent under the circumstance of e-commerce. It can achieve the goal of mining data accurately and effectively, and offer the personalized service to users, and improve operational efficiency for system.
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