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Search Symbol (Half-width) Description of Search Symbols
Space "AND" indicates the intertwining of key terms used in a search
Double Quotation Marks ("") ( " " ) Double quotation marks indicate the beginning and end of a phrase, and the search will only include terms that appear in the same order of those within the quotations. Example: "image process" : " image process "
? Indicates a variable letter. Entering two ? will indicate two variable letters, and so on. Example: "Appl?", search results will yield apple, apply… e , appl y … ( (often used to English word searches) )
* Indicates an unlimited number of variable letters to follow, from 1~n. Example: Enter "appl*", search results will yield apple, apples, apply, applied, application…(often used in English word searches) e , appl es , appl y , appl ied , appl ication … ( (often used to English word searches) )

Boolean logic combinations of key words is a skill used to expand or refine search parameters.
(1) AND (1) AND: Refines search parameters
(2) OR (2) OR: Expands search parameters (3) NOT: Excludes irrelevant parameters


DOI stands for Digital Object Identifier ( D igital O bject I dentifier ) ,
and is the unique identifier for objects on the internet. It can be used to create persistent link and to cite articles.

Using DOI as a persistent link

To create a persistent link, add「」 「 」 before a DOI.
For instance, if the DOI of an article is 10.5297/ser.1201.002 , you can link persistently to the article by entering the following link in your browser: 10.5297/ser.1201.002
The DOI link will always direct you to the most updated article page no matter how the publisher changes the document's position, avoiding errors when engaging in important research.

Cite a document with DOI

When citing references, you should also cite the DOI if the article has one. If your citation guideline does not include DOIs, you may cite the DOI link.

DOIs allow accurate citations, improve academic contents connections, and allow users to gain better experience across different platforms. Currently, there are more than 70 million DOIs registered for academic contents. If you want to understand more about DOI, please visit airiti DOI ) 。

Abstract 〈TOP〉
Parallel Abstract 〈TOP〉
Reference ( 43 ) 〈TOP〉
  1. 1. 丁振原,「以資料探勘技術為基建構PCB客訴問題處理模式」,元智大學工業工程與管理研究所碩士論文,2002。
  2. 14. 劉中光,「以資料挖掘為基建構製程品質問題診斷系統─以印刷電路板業為例」,元智大學工業工程與管理研究所碩士論文,2001
  3. 15. 蔡智政,「應用CART決策樹與資料視覺技術於低良率晶圓成因探討」,元智大學工業工程與管理研究所碩士論文,2001。
  4. 17. Barlow, T. and P. Neville, “Case study: Visualization for decision tree analysis in data mining,” IEEE Symposium on Information Visualization, San Diego, CA, 149-152 (2001).
  5. 18. Berry, M. and G. Linoff, Mastering Data Mining, the Art & Science of Cutomer Relation Management, John Wiley, New York (1999).
Times Cited (2) 〈TOP〉
  1. 周雅君(2007)。以資料探勘為基建構偏光板品質異常診斷系統。元智大學工業工程與管理學系學位論文。2007。1-71。 
  2. 謝惠如(2010)。拋光製程破片關鍵影響因子辨識模型。清華大學工業工程與工程管理學系學位論文。2010。1-128。
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