中文文獻
[1] 陳彥良(2003)、趙書榮、陳禹辰，幾個快速挖掘關聯規則的資料探勘方法，電子商務學報，5:2 頁1-10。[2] 曾憲雄(2005)、蔡秀滿、蘇東興、曾秋蓉、王慶堯 資料探勘，台北：旗標出版社。
[3] 錢依佩(2002)，高效率之關聯法則探勘演算法，南台科技大學資訊管理學系碩士論文。[4] 沈兆陽(2001)，資料倉儲與Analysis Services: SQL Server 2000的OLAP 解決方案，文魁。
[5] 王宗屏(2009)，智慧型系統於應用資訊系統使用者問題分類之研究，大同大學，資訊工程學系(所) 碩士論文。[6] 黃勝崇(2001)，資料探勘應用於醫療院所輔助病患看診指引之研究。南華大學。
[7] 陳文華(1999)，架構資料倉儲的注意事項，資訊與電腦，pp. 94-99，1999年3月。
[8] 胡百敬(2002)，SQL Server 資料轉換服務，學貫股份有限公司。
[9] 施威銘(2006)，SQL Sever 2005管理實務，旗標出版社。
[10] 尹相志譯(2004)，資料採礦 Mining the Wed，維科出版社。
[11] 尹相志(2003)，SQL 2000 Analysis Service，維科出版社。
[12] 尹相志(2006)，Microsoft SQL Server 2005資料採礦聖經：Data mining reference，學貫行銷。
[13] 尹相志(2006)，Microsoft SQL Server 2005 OLAP線上即時分析，精誠資訊。
[14] 饒美倫(2008)，使用關聯法則預測與分析台灣樂透彩，大同大學，資訊工程學系(所) 碩士論文。英文文獻
[15] Agrawal(1994), R. and Srikant, R., “Fast Algorithm for Mining Association Rules,” In Proceedings of the 20th International Conference on Very Large Databases, pp. 487-499
[16] Michael(1997), J.A. and Linoff, G., “Data Mining Technique: for Marketing, Sales and Customer Support,” Wiley Computer Publishing, New York.
[17] Kleissner, C.(1998), Data Mining for the Enterprise, IEEE Proc. 31st Annual Hawaii International Conference on System Sciences, Vol.7, pp. 295-304.
[18] Kim(2000), Sung-Min, Jong-Dal Kim, Jeong-Hee Hong, Do-Won Nam, Dong-Ha Lee,Jeon-Young Lee , “A System for Association Rule Finding from an Internet Portal Site”.
[19] Han(2001), Jiawei and Micheline Kamber , “Data Mining : Concepts and Techniques, ”John Wiley & Son.
[20] Groth(2000), R., “Data mining: Building Competitive Advantage”, Prentic-Hall.
[21] Agrawal(1995) Rakesh and Srikant Ramakrishnan, “Mining Sequential Pattems”, ICDE,p3~14.
[22] Peacock(1998), P. R., “Data mining in marketing: Part 1,” Marketing Management, 6(4),8-19.
[23] KuliKowski(1991) C.A. and S. M. Weiss, ”Computer System that Learn: Classification and Prediction Methods from Statistics, Neural Nets, Machine Learning, and Expert Sysyem”,Morgan Kaufman.
[24] Srikant(1996) R., Agrawal R., , “Mining Sequential Patterns: Generalizations and Performance Improvements”. Proc. of the 5th EDBT Conference.
[25] Agrawal(1993) R.,Imielinski T., and Swami A., “Mining Association Rules between Sets of Items in Very Large Database,” Proceedings of the ACM SIGMOD Conference on Management of Data 207-216.
[26] Frawley(1991), W.J., Paitetsky-Shapiro, G. and Matheus. C. J., "Knowledge Discovery in Databases: An Overview," Knowledge Discovery in Databases, California, AAAI/MIT Press, pp.1-30
[27] Grupe(1995), F.H. and Owrang, M. M., "Database Mining Discovering New Knowledge And Cooperative Advantage," Information Systems Management, Vol.12, NO.4, pp26-31.
[28] Fayyad(1996), U.M., "Data Mining and Knowledge Discovery: Making Sense out of Data," IEEE Expert, Vol.11, No.5, pp.20-25.
[29] Shaw(2001), M. J., and Subramaniam, C. and Tan, G. W. and Welge, M.E., “Knowledge Management and Data Mining for Marketing”, Decision support Systems 31, 2001, pp127-137.
[30] 1111人力銀行(2008)。(http://www.1111.com.tw)
[31] Microsoft SQL Server首頁。(http://www.microsoft.com/taiwan/sql/default.mspx)
[33] SQL Server 2005線上叢書。