Investigation and Development of Parallel Large Scale Record Linkage Techniques

并行大规模记录链接技术的研究与发展

• 批准号: LP0453463
• 负责人: Prof Peter Christen
• 金额: $ 7.02万
• 依托单位: The Australian National University
• 依托单位国家: 澳大利亚
• 项目类别: Linkage Projects
• 财政年份: 2004
• 资助国家: 澳大利亚
• 起止时间: 2004-01-01 至 2007-12-31
• 项目状态: 已结题
• 来源: https://dataportal.arc.gov.au/RGS/Web/Grants/LP0453463
• 关键词: Investigation; Development; Parallel; Large; Scale

Record linkage aims at matching records of the same entity (like customer or patient) in large (administrative) databases. The outcomes of the proposed research will improve current techniques in terms of efficiency, accuracy and the need for human intervention. Through experimental studies and stochastic modelling the performance of traditional and new methods for data cleaning, standardisation and linkage will be assessed. The effect of the statistical dependency of attribute values will be studied. New methods using clustering for blocking large datasets, and predictive models including interaction terms will be implemented, analysed and evaluated on high-performance computers and office-based PC clusters.

记录链接旨在匹配大型(管理)数据库中同一实体(如客户或患者)的记录。拟议的研究结果将在效率、准确性和对人工干预的必要性方面改进当前的技术。通过实验研究和随机建模，将评估数据清理、标准化和链接的传统方法和新方法的性能。将研究属性值的统计相关性的影响。将在高性能计算机和基于办公室的PC集群上实施、分析和评估使用集群来阻止大数据集的新方法，以及包括交互作用项在内的预测模型。