| 研究生: |
石明峯 shih, Ming-Feng |
|---|---|
| 論文名稱: |
消費者與產品造形元素之關聯性分析-以行動電話為例 Mining association rules between customers and elements of products’ shape -The case study of Mobile Phone |
| 指導教授: |
陳建旭
Chen, Chien-Hsu |
| 學位類別: |
碩士 Master |
| 系所名稱: |
規劃與設計學院 - 工業設計學系 Department of Industrial Design |
| 論文出版年: | 2007 |
| 畢業學年度: | 95 |
| 語文別: | 中文 |
| 論文頁數: | 101 |
| 中文關鍵詞: | 關聯法則分析 、資料探勘 |
| 外文關鍵詞: | Association rules, Data Mining |
| 相關次數: | 點閱:74 下載:4 |
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資料探勘是一種從大量資料中,找出有用資訊的技術,在商業以及管理方面已被大量運用,特別是關聯性分析,用來尋找各種物件和屬性之間的關聯性,已被大量使用在菜籃分析及客戶關係管理上,以輔助商業及管理上的運作。
在設計時如果能夠知道目標族群與產品屬性間的關聯,就能夠更準確的設計出合乎目標族群所需要或是喜好的產品,因此本研究以設計觀點出發,利用資料探勘來針對特定族群客戶,找出對產品的特定設計造型元素或其組合之關聯性,並評估其實用性。以行動電話作為例,先收集產品的資料並將其設計造型元素分析出來,再利用資料探勘將產品資料與消費者或是使用者的資訊加以探勘,找出特定族群對特定設計元素或是其組合有無關連性或是準則。
消費者與設計造型元素之關聯性分析,在使用工具方面,演算工具為Microsoft的SQL Server 2005 Data Anaylsis, 介面工具為Microsoft Visual Studio 2005,產出消費者資訊對應設計造型元素之規則,收納成一個規則庫。根據規則庫,可以找出特定族群與其對應手機造型元素,造型元素合成後和實際產品可以相呼應,並在實際銷售上有所對應。
Data Mining is a technology which extracts useful or worthy information from large volumes of data. The applications of Data Mining in commerce and management have been operated generally. Mining association rules which is to find out the association between objects or attributes of the target have been applied on Market Basket Analysis and Customer Relationship Management to support the operations of commerce and management.
It will be more accurately to design appropriate products for the particular customers if designers know the associations between the attributes of the product and the particular customers. From the view of design this research is developed to find out the associations between elements of products’ shape and particular customers by data mining and evaluate its practicability. Cell phone is used as an example to define the attribute of products’ shape and collect the customers’ preferences. The second step is to dig out the association rules between particular elements of products’ shape and customers’ background by data mining.
Mining association rules between customers and elements of products’ shape is implemented by Microsoft SQL Server 2005 Data Anaylsis and Microsoft Visual Studio 2005. The rules between customers’ background will be generated and arranged into rules. According to those rules, designers can find out the elements of cell phones’ shape to particular customers’ preference. The combinations of the elements of shape will resemble in the existing products in the market and feasible for particular customers.
Agrawal, R. , Imielinsk, T., and Swami, A., 1993. Mining association rules between sets of items in very large database, Proceedings of the ACM SIGMOD conference on Management of Data, pp207-206.
Berry, M. J. and Linoff, G., 1997. Data Mining Techniques for Marketing, Sales and Customer Support, Wiley.
Cabena, P., Hadjnian, Stadler, Verhees, Zanasi, and Zanasi, A., 1997. Discovering Data Mining from Concept to Implementation (Hardcover) , Prentice Hall PTR
Han, J. and Kamber, M., 2001. Data Mining: Concepts and Techniques, San Francisco: Morgan Kaufmann Publishers
Kolatch, E., 2001. Clustering Algorithms for Spatial Databases: A Survey
Tryon, R. and Bailey, D., 1970. Cluster Analysis, McGraw-Hill.
王聖忠,Data Miing,玉山銀行雙月刊文集-Ebanking ,第69期,2001
吳展宇,擴增虛擬實境之感性工學系統-以行動電話為例,碩士論文,國立成功大學工業設計所,2004
林彥呈,應用非線性推論模式於產品色彩、造形與意象關係之研究,碩士論文,國立成功大學工業設計所,2001
黃美菁,行動電話偏好意象建構造形法則,碩士論文,國立成功大學工業設計所,1999
黃俊英,多變量分析,中國經濟企業研究所,1985
黃代均,以遺傳演算法結合貝氏分類法快速篩選與疾病相關的基因,碩士論文,長庚大學資訊管理研究所,2004
鄭呈皇,用知識平台管理創意的設計公司,商業週刊,第874期,2004
戴昱文,圖書館借閱探勘系統,碩士論文 國立交通大學資訊科學研究所,2003
薛承甫,消費性產品涉入程度與造形選擇關係之研究-以行動電話為例,碩士論文,國立成功大學工業設計所,2000
中華探看勘學會 http://www.cdms.org.tw/index.html
亞瑪遜網路商店 http://www.amzon.com