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Received:September 22, 2015 Revised:November 27, 2015
Received:September 22, 2015 Revised:November 27, 2015
中文摘要: 目前电子商务已经愈发成熟,如何有效分析客户潜在价值成为不可忽视的问题.针对此问题,本文设计与实现了一种可视化查询系统,用于分析用户购物消费偏好,挖掘潜在价值.本系统基于SSH框架,前端采用Highcharts图表展示工具予以数据可视化处理;后台利用DPI提取校园网流量中的电商数据建立用户购物行为数据库,同时利用网络爬虫建立电商产品信息库.系统经测试,能达到预期效果,对用户购物偏好具有一定利用价值.
中文关键词: 可视化 查询系统 SSH Highcharts DPI
Abstract:How to analyse the potential value of a customer is a problem that cannot be neglected while the e-commerce is becoming more and more mature. Aiming at solving this problem, the paper designs and implements a visual query system, which is used for analysing customers' preference and digging their potential value. Based on the SSH framework, this system uses Highcharts to do the data visualization at the front-end, while the database of products is established via the web parser and the database of user-expense behavior extracted from the campus's traffic is established via DPI. This system reaches the expected target for data analysis and is good for shopping preference analysis after testing.
keywords: data visualization query system SSH Highcharts DPI
文章编号: 中图分类号: 文献标志码:
基金项目:重庆市应用开发计划(cstc2013yykfA40006)
引用文本:
陈先灏,雒江涛.面向电商数据的可视化查询系统.计算机系统应用,2016,25(4):123-127
CHEN Xian-Hao,LUO Jiang-Tao.Visual Query System for Electronic Commerce data.COMPUTER SYSTEMS APPLICATIONS,2016,25(4):123-127
陈先灏,雒江涛.面向电商数据的可视化查询系统.计算机系统应用,2016,25(4):123-127
CHEN Xian-Hao,LUO Jiang-Tao.Visual Query System for Electronic Commerce data.COMPUTER SYSTEMS APPLICATIONS,2016,25(4):123-127