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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 ( 36 ) 〈TOP〉
  1. 李豪剛,2007,「運用資料探勘技術於臺灣鋼筋混凝土橋梁構件劣化因子之研究」,國立中央大學碩士論文。
  2. 高淑珍,2004,「應用資料探勘於顧客回應模式之研究-以國內A壽險公司為例」,國立成功大學博士論文。
  3. Attoh-Okine, N. O. (1997). “Potential application of Bayesian influence diagram in pavement management.” Proceeding of 2nd International Symposium (IEEE) on Uncertainty Modeling and Analysis (ISUMA), College PARK, Md.
  4. Goebel, M., and Gruenwald, L. (June 1999). “A survey of data mining and knowledge discovery software tools,” ACM SIGKDD Explorations, Vol. 1, No. 1, pp.20-33.
  5. J.R. Quinlam (1986). ”Induction of decision trees,” Machine Learning, Vol. 1, pp. 81-106.
Times Cited (7) 〈TOP〉
  1. 李正道(2016)。工程異質採購最低標之研究-以道路鋪面養護工程為例。臺灣大學土木工程學研究所學位論文。2016。1-121。 
  2. 林珍猷(2010)。錫膏印刷品質缺陷之探勘。樹德科技大學經營管理研究所學位論文。2010。1-74。
  3. 洪慶華(2011)。柔性鋪面修復週期與特定影響因子之研析-以公路總局中壢工務段為例。中央大學營建管理研究所碩士在職專班學位論文。2011。1-79。
  4. 林佳正(2014)。工程技術顧問業員工海外派遣意願之規則探勘。中央大學營建管理研究所學位論文。2014。1-138。
  5. 洪嘉澤(2014)。以知識本體技術與探勘方法探討台北都會區道路工程與管理系統之研究。中央大學土木工程學系學位論文。2014。1-233。
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