| Reference: | 一、英文參考文獻
[1] Agrawal, R., Srikant, R. (1994). Fast algorithms for mining association rules. IBM Research Report RJ9839. IBM Almaden Research Center.
[2] Cecchet, E., Singh, R., Sharma,U., Shenoy, P. (2011). Dolly: virtualization-driven database provisioning for the cloud.
[3] Chang, F., Dean, J., Ghemawat, S., Wilson, C. H., Deborah, A. W., Burrows. M., Chandra, T., Fikes, A., Robert, E. G. (2006). Bigtable: A Distributed Storage System for Structured Data. Seventh Symposium on Operating System Design and Implementation. Seattle, WA.
[4] Dawei, S., Guiran, C., Chunguang, T., Xingwei, W. (2011). Enhancing Security by System-Level Virtualization in Cloud Computing Environments.
[5] Dean, J., Ghemawat. S. (2004). MapReduce: Simplified Data Processing on Large Clusters. Proceedings of the 6th Symposium on Operating Systems Design and Implementatio. San Francisco, CA.
[6] Gantz, J., Reinsel, D. (2009). As the Economy Contracts, the Digital Universe Expands. IDC Multimedia White Paper. Sponsored by EMC Corporation.
[7] Gantz, J., Reinsel, D. (2010). A Digital Universe Decade – Are you Ready? IDC Multimedia White Paper. Sponsored by EMC Corporation.
[8] Ghemawat, S., Gobioff, H., Shun-Tak Leung. (2003). The Google File System, 19th ACM Symposium on Operating Systems Principles. Lake George, NY.
[9] Goldberg, R. P. (1973). Architectural Principles for Virtual Computer Systems. Harvard University. pp. 22-26.
[10] Luhn, H.P. (1958). The Automatic Creation of Literature Abstracts. IBM Journal of Research and Development. Vol. 2, pp.157-165.
[11] Maedche, A., Staab, S. (2001). Ontology Learning for the Semantic Web Export. IEEE Intelligent Systems In Intelligent Systems. IEEE, Vol. 16, No. 2., pp. 72-79.
[12] Mell, P., Grance, T. (2009a). Effectively and Securely Using the Cloud Computing Paradigm, NIST Information Technology Laboratory.
[13] Mell, P., Grance, T. (2009b). The NIST Definition of Cloud Computing, NIST Information Technology Laboratory.
[14] Noy, N. F., McGuinness, D. L. (2001). Ontology development 101: A guide to creating your first ontology. Technical Report SMI-2001-0880, Stanford Medical Informatics.
[15] Sullivan, D. (2001). Document Warehousing and Text Mining: Techniques for Improving Business Operations, Marketing, and Sales. New York, NY: John Wiley & Sons, Inc.
[16] Tulloch, M. (2010). Understanding Microsoft Virtualization Solutions. Redmond, Washington:Microsoft Press.
二、中文參考文獻
[17] 黃國政(2006)。運用文字探勘技術於人才招募推薦系統之研究。靜宜大學資訊管理研究所碩士論文。
[18] 許偉忠(2007)。以成本敏感分類分析法建構之多語言文件分類技術。國立清華大學科技管理研究所碩士論文。
[19] 朱明中(2010)。Windows Azure教戰手札。台北市：碁峰資訊股份有限公司。
[20] 陳垂呈(2008)。利用分類分析發掘產品最適性之項目組合。南台科技大學資訊管理研究所碩士論文。
[21] 陳瀅(2010)。雲端策略：雲端運算與虛擬化技術。台北市：天下雜誌股份有限公司。
[22] 曾元顯(1997)。關鍵詞自動擷取技術與相關詞回饋，中國圖書館學會會報 ，第59 期，1997，59-64。
[23] 蘇晏譁(2009)。運用文字探勘技術建置知識本體之研究-以財經文件為例。國立政治大學資訊管理研究所碩士論文。
[24] 葉乃菁、王玳琪、張嘉珍、吳騏、賴志遠(2009)。建構創新政策研究工具--文字探勘之應用簡介，國研科技，第1期，2009，17-20。
[25] 巫啟台(2002)。文件之關聯資訊萃取及其概念圖自動建構。國立成功大學資訊工程研究所碩士論文。
三、網路參考資料
[26] Amazon (2011a). Amazon EC2. Retrieved from：http://aws.amazon.com/ec2/
[27] Amazon (2011b). Amazon S3. Retrieved from：http://aws.amazon.com/s3/
[28] Garner (2008). Gartner Says Cloud Computing Will Be As Influential As E-business. Retrieved from：http://www.gartner.com/it/page.jsp?id=707508
[29] IBM (2007). IBM Introduces Ready-to-Use Cloud Computing. Retrieved from：http://www-03.ibm.com/press/us/en/pressrelease/22613.wss
[30] Google (2011)。Google應用服務引擎。取自：http://code.google.com/intl/zh-TW/appengine/
[31] Salesforce (2011)。Force.com產品介紹。取自：http://www.salesforce.com/tw/platform/products.jsp。
[32] Wikipedia (2007)。雲端運算。取自：http://bit.ly/ok1ZlG
[33] Windows Azure (2011)。Windows Azure Platform產品簡介。取自：http://www.microsoft.com/taiwan/windowsazure/
[34] 趨勢科技(2011)。趨勢科技防毒技術。取自：http://www.trendmicro.com.tw/spn/index.asp
[35] 謝良奇(2008)。HP、Intel、Yahoo共組開放源碼雲端運算計畫。取自：http://bit.ly/916Pcy |
