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基于人工免疫检测的商业智能系统*
引用本文:徐锐,马文丽,郑文岭. 基于人工免疫检测的商业智能系统*[J]. 计算机应用研究, 2010, 27(1): 209-211. DOI: 10.3969/j.issn.1001-3695.2010.01.061
作者姓名:徐锐  马文丽  郑文岭
作者单位:1. 上海大学,电子生物技术研究中心,上海,200072
2. 上海大学,电子生物技术研究中心,上海,200072;广州南方医科大学,基因工程研究所,广州,510515
基金项目:国家自然科学基金资助项目(39880032);广州市重大科技资助项目(199-2005-001);广东省自然科学基金资助项目(5004737)
摘    要:设计商业智能系统,分别构建ETL模块、数据仓库和OLAP系统。对于Cube中经常出现的异常数据问题,提出使用人工免疫系统进行检测,将Cube查询的KPI历史数据进行二进制编码作为自我集合,并用阴性选择算法产生检测器。设计基于人工免疫检测的新商业智能系统,测试表明,改进的系统可以有效地检测异常数据的存在,从而保障了最终用户端使用数据的准确性和整个商业智能系统的可靠性。

关 键 词:商业智能;联机分析处理;数据仓库;人工免疫;阴性选择

Business intelligence system based on artifical immune detection
XU Rui,MA Wen-li,ZHENG Wen-ling. Business intelligence system based on artifical immune detection[J]. Application Research of Computers, 2010, 27(1): 209-211. DOI: 10.3969/j.issn.1001-3695.2010.01.061
Authors:XU Rui  MA Wen-li  ZHENG Wen-ling
Affiliation:(1.Bioelectrical Research Center, Shanghai University, Shanghai 200072, China;2.Institute of Genetic Engineering, Southern Medical University, Guangzhou 510515, China)
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.
Keywords:business intelligence(BI)   on line analytical processing(OLAP)   data warehouse   artifical immunity   negative selection
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