Title :
The Analysis and Design of SOA-Based Financial Data Mining System
Author :
Wang, Lei ; Wang, Qiang ; Ni, Lina
Author_Institution :
Coll. of Inf. Sci. & Eng., Shandong Univ. of Sci. & Technol., Qingdao, China
Abstract :
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 Service-Oriented Architecture (SOA). The system centers the data, providing the powerful data analysis based on the Data Warehouse (DW) 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.
Keywords :
data analysis; data mining; data warehouses; financial data processing; investment; securities trading; service-oriented architecture; China; SOA based financial data mining system; data analysis; data warehouse; economic development; investment decisions; securities market; service-oriented architecture; Artificial intelligence; Cybernetics; Man machine systems; Data Mining; Data Warehouse; SOA;
Conference_Titel :
Intelligent Human-Machine Systems and Cybernetics (IHMSC), 2011 International Conference on
Conference_Location :
Zhejiang
Print_ISBN :
978-1-4577-0676-9
DOI :
10.1109/IHMSC.2011.37