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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 ( 42 ) 〈TOP〉
  1. 1. 尹相志,Microsoft SQL Server 2008 Data Mining資料採礦,台北:悅知文化,2009。
  2. 5. 柯榮哲,顧客關係管理之購買行為模式與背景結構分析:以教育訓練業個案為例,碩士論文,台北大學統計研究所,新北,2009。
  3. 7. 張心馨、蔡獻富,「以Data Mining 技術結合SOM 和K-Mean 的消費者分群方法於顧客關係管理和績效獲利性評估之實證研究」,資訊管理學報,第十一卷,第四期,2004,161-203頁。
  4. 11. 黃村彰,應用資料採礦技術探討顧客關係管理之研究-以寒軒國際大飯店為例,碩士論文,高雄餐旅學院旅遊管理研究所,高雄,2006。
  5. 14. 劉文良,數位世紀顧客關係管理,台北:藍海文化,2009。
Times Cited (1) 〈TOP〉
  1. 劉羿君(2017)。網路拍賣出價行為與價格哄抬之分群研究。中山大學資訊管理學系研究所學位論文。2017。1-96。
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