The Analysis and Design of SOA-based financial data mining system

摘要：

With the rapid economic development of china, more and more Chinese people preserve their wealth by investing in securities market To help people in making investment decisions, we put forward a financial data mining system based on ServiceOriented Architecture (SOA). The system centers the data, providing the powerful data analysis based on the Data Warehouse (DVV) which well manages the mess data. In addition, the system adopts SOA as developing architecture which has the characteristics of high development efficiency, good reusability and deployment flexibility. The design of SOA-based ensures that the system is open and extensible. We discussed the system objectives, described the system architecture, designed the system development model, designed the data warehouse and finally analyzed the common financial data mining tasks.

关键词： SOA Data Warehouse Data Mining

作者: Lei Wang Qiang Wang Lina Ni

作者单位: College of Information Science and Engineering, Shandong University of Science and Technology, Qingd Taishan College of Science and Technology, Shandong University of Science and Technology, Taian, Chi

会议类型: 国际会议

会议名称: 2011 Third International Conference on Intelligent Human-Machine Systems and Cybernetics 第三届智能人机系统与控制论国际会议 IHMSC 2011

会议地点: 杭州

会议语种:英文

页码: 129-132

在线出版日期: 2011-08-26（万方平台首次上网日期，不代表论文的发表时间）