Reference: | 一、 中文文獻
1. 尹相志(2006),SQL Server 2005資料採礦聖經,學貫行銷股份有限公司。
2. 吳柏林、謝名娟(2012),市場調查實務,台北:新陸。
3. 吳瑤玲(2012),服務品質、顧客滿意度與顧客承諾關係之研究--以台電服務中心為例,國立臺北商業技術學院商研所碩士論文。
4. 宋龍華(2009),應用資料採礦於智慧型統計資料庫系統,輔仁大學應用統計學研究所碩士論文。
5. 林盈方(2010),導入雲端運算概念於資料採礦之分類系統,國立政治大學統計研究所碩士論文。
6. 陳鈞銘(2007),資料採礦在保險電話行銷上之運用實證研究-以某銀行意外險電話行銷專案為例,樹德科技大學金融與風險管理系碩士班碩士論文。
7. 曾淑峰、林志弘、翁玉麟(2012),資料採礦應用。梅霖文化事業有限公司。
8. 黃立維(2008),結合資料採礦技術於建構建築業財務危機預警與關鍵因素分析模型之研究,雲林科技大學營建工程系碩士班碩士論文。
9. 鄭宇庭(2009),應用資料採礦技術建置符合新巴賽爾協定之企業信用風險模型,管理科學與統計決策,第6卷第2期。
10. 謝邦昌、鄭宇庭、蘇志雄(2009),Data Mining概述-以Clementine12.0為例,新北市:中華資料採礦協會。
二、 英文文獻
1. Agresti, A. (2002), “An Introduction To Categorical Data Analysis”, ed. New York:Wiley.
2. Agresti, A. (2002), “Categorical Data Analysis”, . New York:Wiley.
3. Breiman, L. (1984), “Classification and Regression Trees”, Wadsworth International Group.
4. Davis, Duane L., Guiltinan, Joseph P. and Jones, Wesley, H. (1979), “Service Characteristics, Consumer Search, and the Classification of Retail Services”, Journal of Retailing, 55, 3.
5. Dick, A. S. and Basu, K. (1994), “Customer Loyalty: Toward an Integrated Conceptual Framework”, Journal of the Academy of Marketing Science, Vol. 22, No. 2, pp.99-113.
6. Dwyer, F. R., Schurr, P. H. and Oh, S. (1987), “Developing buyer-seller relationships”, Journal of Marketing, Vol. 51, No. 2, pp. 11-27.
7. Fayyad, U., Piatetsky-Shapiro, G. and Smyth P. (1996), “From Data Mining to Knowledge Discovery in Databases”, American Association for Artificial Intelligence, Vol. 17, No. 3.
8. Fullerton, G. (2003), “When Does Commitment Lead to Loyalty?”, Journal of Service Research, Vol. 5, No. 4, pp.333-344.
9. Harrison-Walker, L. J. (2001), “The Measurement of Word-of-Mouth Communication and an Investigation of Service Quality and Customer Commitment as Potential Antecedents”, Journal of Service Research, Vol. 4, No. 1, pp.60-75.
10. Hsieh,Y. C., Chiu, H. C. and Chiang, M. Y. (2005), “Maintaining a committed online customer: A study across search-experience-credence products”, Journal of Retailing, Volume 81, Issue 1, pp.75–82.
11. Kleissner, C. (1998), “Data Mining for the Enterprise”, Proceedings of the Hawaii International Conference on System Sciences, 7, 295-304.
12. Loh, W. Y. and Shih, Y. S. (1997), “Split Selection Methods for Classification Trees”, Statistica Sinica 7, pp.815-840.
13. Lohr, S. (2012), “The Age of Big Data”, New York Times, February 11, 2012.
14. Morgan, R. M. and Hunt, S. D.,1994, “The Commitment–Trust Theory of Relationship Marketing”, Journal of Marketing, Vol. 58, pp.20-38.
15. Ripley, B. D. (1996), “Pattern recognition and neural networks”, Cambridge University Press.
三、 網站文獻
1. CRISP-DM,http://www.crisp-dm.org。
2. 行政院主計總處,http://www.dgbas.gov.tw/mp.asp?mp=1。
3. 財政部統計處,http://www.mof.gov.tw/lp.asp?CtNode=2799&CtUnit=11&BaseDSD=5&mp=62 |