應用領域導向方法探勘電信與醫療資料

Mining Telecom and Medical Data by Domain Driven Approaches

李卓銘(Cho-Ming Lee)

指導教授 ： 蔣璿東

淡江大學/工學院/資訊工程學系博士班/博士(2013年)

https://doi.org/10.6846/TKU.2013.00540

摘要

本研究的目的是運用領域導向資料探勘相關技術探討醫療及電信兩個產業案例；探討醫療產業相關資料主要以封閉式迴圈探勘的技術，將學術相關研究與具有臨床經驗的專業醫師做討論的判斷，確認過後的結果將成為能夠輔佐醫師針對病患的狀況制訂治療方式的知識;另外探討電信產業的相關資料除了以封閉式迴圈探勘的技術並結合組合探勘為基礎的可行動知識挖掘的架構，減少學術與商業的隔閡，為商業組織帶來更高之效益。

關鍵字

領域導向資料探勘 ； 封閉式迴圈探勘 ； 組合探勘 ； 可行動知識挖掘

並列摘要

This research of purpose is using Domain Driven Data Mining related technology discussion medical and the telecommunications two a industry case; discussion medical industry related data main to closed Closed-Loop Data Mining of technology, will academic related research and has clinical experience of professional physician do discussion of judgment, confirmed after of results will became to supporting physician for disease patients of situation developed treatment way of knowledge; also discussion telecommunications industry of related data except to Closed-Loop Data Mining of technology and combined Combined Mining based AKD framework, Reducing the gap in academic and commercial for commercial organizations to bring greater benefits.

並列關鍵字

Domain Driven Data Mining ； Closed-Loop Mining ； Combined Mining ； Actional Knowledge Mining

參考文獻

[2] W.J. Frawley, G. Piatetsky-Shapiro, C.J. Matheus, Knowledge discovery in databases: an overview, AI Magazine, 13 (1992) 57-70.

[7] L. Geng, H.J. Hamilton, Interestingness measures for data mining: A survey, ACM Comput. Surv., 38 (2006) 1-32.

[9] L. Cao, Actionable knowledge discovery and delivery, WIREs Data Mining Knowl Discov, 2 (2012) 149-163.

[12] S. Im, Z. Raś, H. Wasyluk, Action rule discovery from incomplete data, Knowl. Inf. Syst., 25 (2010) 21-33.

[13] L. Cao, C. Zhang, Domain-Driven actionable knowledge discovery in the real world, Proceedings of the 10th Pacific-Asia Conference on Knowledge Discovery and Data Mining(PAKDD' 2006), Springer-Verlag, Singapore, 2006, pp. 821-830.