English  |  正體中文  |  简体中文  |  全文筆數/總筆數 : 60868/93650 (65%)
造訪人次 : 1147939      線上人數 : 27
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/987654321/112503

    題名: Mining unexpected patterns using decision trees and interestingness measures: a case study of endometriosis
    作者: Ming-Yang Chang;Rui-Dong Chiang;Shih-Jung Wu;Chien-Hui Chan
    關鍵詞: Treatment comparison;Unexpected patterns;Domain-driven data mining;Interestingness measures
    日期: 2016-10
    上傳時間: 2017-12-22 02:10:33 (UTC+8)
    出版者: Springer
    摘要: Because clinical research is carried out in complex environments, prior domain knowledge, constraints, and expert knowledge can enhance the capabilities and performance of data mining. In this paper we propose an unexpected pattern mining model that uses decision trees to compare recovery rates of two different treatments, and to find patterns that contrast with the prior knowledge of domain users. In the proposed model we define interestingness measures to determine whether the patterns found are interesting to the domain. By applying the concept of domain-driven data mining, we repeatedly utilize decision trees and interestingness measures in a closed-loop, in-depth mining process to find unexpected and interesting patterns. We use retrospective data from transvaginal ultrasound-guided aspirations to show that the proposed model can successfully compare different treatments using a decision tree, which is a new usage of that tool. We believe that unexpected, interesting patterns may provide clinical researchers with different perspectives for future research.
    關聯: Soft Computing 20(10), p.3991–4003
    DOI: 10.1007/s00500-015-1735-0
    顯示於類別:[資訊創新與科技學系] 期刊論文


    檔案 描述 大小格式瀏覽次數
    Mining unexpected patterns using decision trees and interestingness measures_ a case study of endometriosis.pdf1014KbAdobe PDF2檢視/開啟



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