Preliminary Study on Aviation Safety System using Big Data Analytics

  • 洪 偉傑

學生論文: Master's Thesis

摘要

Big data analysis has become a very popular topic recently In various fields are trying to bring the new insight into their enterprise for increasing revenue or finding potential patterns Furthermore the airline can seek new way to serve the marketplace and increase their profit balancing both safety and revenue Basis for big data analysis is on the volume variety velocity and veracity of data It needs to be well collected analyzed and applied that can reveal its value For aviation there is a strict regulation for collecting preserving data but most of the data are not well used In this study based on CRISP-DM a robust and well-proven data mining methodology as the fundamental concept to create a data analytic processing which is suitable for aviation A generic data thinking can help analysts to handle with diversified data type a variety data source and different analyzing software We focus on the procedure that gives aviation analysts a logical and data thinking The purpose of this study is to create a preliminary approach of aviation data analytic because there is not a standard operation procedure yet However data analytic is a case by case study it is impossible to have an all-powerful tool which is able to analyze every database An engine sensor database is used in this procedure to give example for data thinking and investigating Try to find hidden information to reveal its value Bringing big data analytic into aviation safety system does not mean to exclude experts' opinion Human work with data can generate great insights
獎項日期2016 八月 11
原文English
監督員Chin-E. Lin (Supervisor)

引用此文

Preliminary Study on Aviation Safety System using Big Data Analytics
偉傑, 洪. (Author). 2016 八月 11

學生論文: Master's Thesis