摘要
数据挖掘是从大量历史数据中寻找其规律的技术,通过数据挖掘发现有价值的知识,使物流企业全面准确地把握各方面的信息,实现物流系统的最优化和合理化。针对物流配送规划管理背景,研究了基于SOA服务的数据挖掘关键技术及应用;并利用开源WebGIS开发平台,将数据挖掘服务应用于物流配送运输规划的实践,验证了数据上传、清洗、算法和OLAP服务在物流配送管理中的关键作用,取得了较好的效果。
Data mining is a technology to look for regularity from the large number of historical data. Through the valuable information it provides ,logistics enterprises can grasp all the information fully and accurately ,and then achieve optimization and rationalization. Under the logistics planning background,the key techniques and application of SOA -based data mining were studied. Using the open source development platform WebGIS ,the data mining services were applied to logistics transportation planning ,and the application verified the key role of upload data,cleaning, algorithm and OLAP service in logistics management. Eventually ,it got good results.
出处
《武汉理工大学学报（信息与管理工程版）》
CAS
2011年第6期1007-1010,共4页
Journal of Wuhan University of Technology：Information & Management Engineering
基金
国家十一五科技支撑计划基金资助项目(2006BAH02A06)
