淡江大學機構典藏:Item 987654321/34153
English  |  正體中文  |  简体中文  |  全文筆數/總筆數 : 62861/95882 (66%)
造訪人次 : 4197856      線上人數 : 699
RC Version 7.0 © Powered By DSPACE, MIT. Enhanced by NTU Library & TKU Library IR team.
搜尋範圍 查詢小技巧：
  • 您可在西文檢索詞彙前後加上"雙引號"，以獲取較精準的檢索結果
  • 若欲以作者姓名搜尋，建議至進階搜尋限定作者欄位，可獲得較完整資料
    •  進階搜尋


    請使用永久網址來引用或連結此文件: https://tkuir.lib.tku.edu.tw/dspace/handle/987654321/34153


    題名: 飛安績效指標建立與關聯分析研究
    其他題名: Building and association analysis for aviation safety performance measures
    作者: 林怡伶;Lin, Yi-ling
    貢獻者: 淡江大學資訊管理學系碩士班
    徐煥智;Shyur, Huan-jyh
    關鍵詞: 資料探勘;遺漏值處理;關聯規則;飛安績效指標;Data Mining;Missing Data;Association;performance measure
    日期: 2006
    上傳時間: 2010-01-11 04:58:48 (UTC+8)
    摘要: 本研究的目的在於從民航飛安檢查員的日常飛安查核結果中，發掘潛在關聯規則。查核資料以月份為單位，將安全相關狀態彙總整理計算出查核不滿意率。在準備分析資料中，先清除多餘不需要的資料，並應用修正後的MVC(Missing Values Completion)法來處理屬性資料的遺漏問題。而修正後的MVC法使用SOM(Self-Organizing Map)群聚技術來將資料進行分群。在同ㄧ群的資料紀錄中擁有著相似的資料型態。根據假設，以同ㄧ群集中計算出的beta平均值來填補遺漏項目。 我們使用Agrawal et al. (1993)提出之Apriori 關聯規則演算法來分析資料。由於Apriori演算法無法處理數值資料，因此在使用該演算法之前，將績效指標根據統計處理控制技術轉換成為正常與非正常之邏輯形態。除此之外，亦使用傳統的Pearson Correlation Analysis來了解飛安事件與飛安檢查結果之關聯。在本研究中，將考慮「時間遞移」的問題，並從中找出之間的關聯性。
    The purpose of this research is to discover any potential association rules for aviation safety inspection results which are performed daily by CAA aviation safety inspector. The inspection data will be aggregated to identify the unfavorable rate for each safety related performance in one month period. To prepare the analyzed data, we clean the redundant data and apply a modified MVC（Missing Values Completion）method to deal with attribute value missing. The modified MVC method uses the SOM (self-organization map) clustering technology to classify data records into clusters. The data records in the same cluster have similar data pattern. According to the assumption, the beta mean value in the same cluster is calculated to fill into the missing attribute. We applied the Apriori association rule algorithm described by Agrawal et al. (1993) to the analyzed data. Since the Apriori algorithm does not process numerical data, we transform the performance attributes to the set of discrete categories, normal and abnormal, by a statistic process control technique before application of the algorithm. Besides, the traditional Pearson correlation analysis has also been conducted to figure out the relationship between aviation events and safety inspection results. In our research, time lag has been considered as an important issue to discover such a relationship.
    顯示於類別:[資訊管理學系暨研究所] 學位論文

    文件中的檔案:

    檔案 大小格式瀏覽次數
    0KbUnknown295檢視/開啟

    在機構典藏中所有的資料項目都受到原著作權保護.

    TAIR相關文章

    DSpace Software Copyright © 2002-2004  MIT &  Hewlett-Packard  /   Enhanced by   NTU Library & TKU Library IR teams. Copyright ©   - 回饋