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计算机应用研究 2010
Business intelligence system based on artifical immune detection
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Abstract:
Designed the business intelligence system, and built ETL module, data warehouse and OLAP system. Aiming at the abnormal data in the Cube,introduced the artificial immune system to detect by binary decoding the historical KPI data from Cube as the self set and generating the detectors based on negative selection. Designed the new business intelligence system using the artifical immune detection.The testing results show that the improved system can detect abnormity successfully, which ensures the accuracy of the data that the end customer access and the reliability of the BI system.