Abstract
Since 5 years ago, civil aviation medicine certification management information system (CAMC system) has been applied in China. As relative dataset increases rapidly, data mining techniques become more and more important. A significant initial step toward the most effective mining is the development of civil aviation medicine data warehouse which integrates data from CAMC system and other sources into separated, fully integrated databases. This paper introduces the process of building the Civil Aviation Medicine Data Warehouse (CAM DW) which allows the investigation of potential flight safety-related issues, by integrating multiple databases and documents. According to the analysis of actual requirement, by analyzing the structure of the data sources, we provide the model of data warehouse and determine disease subject snowflake schema. We also describe the implementation strategy and methods of data extraction, transformation and loading. Finally, the future work and challenges are pointed out.
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
