近年來資訊技術進步神速，對於資料庫系統資料處理效率而言，無論在處理計算速度、記憶體存取的速度及容量均已達到相當大的改善，因此目前資料庫系統資料處理效率的瓶頸演變為資料從儲存設備存取的速度。為此，本文探討一個提高效率的方法，應用多磁碟資料庫系統下的表格配置模式，藉以提高資料平行處理的機率，以縮短資料查詢等待存取的時間，增進資料庫系統整體運作的效能。過去諸多資料配置文獻都以研究演算方法為主，唯探討的表格樣本數量都很少，而且需透過資料庫管理人員針對資料彼此間關聯性來分析及演譯，而一般企業ERP資料庫內含的表格數量相當多，且表格之間關聯性複雜，難以透過人員來詳細分析。因此，為了解決此複雜問題，本文引用資料探勘(Data Mining)的觀念，透過表格擷取記錄，從中探勘表格之間的關聯性，進而應用關聯演算法來規劃表格配置方式。

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Agrawal, R., and Srikant, R. (1994). “Fast algorithms for mining association rules”. Proceedings of the 20th Very Large Databases Conference, 478-499.
Agrawal, R., Imielinski, T., and Swami, A. (1993). ”Mining association rules between sets of items in large databases”. Proceedings of the ACM SIGMOD International Conference on Management of Data, 207-216.
Bakker, J.A. (2000). “Semantic partitioning as a basis for parallel I/O in database management systems”. Parallel Computing, 26(11), 1491-1513.
Chang, C.H., Hsu,C.N., and Lui, S.C. (2003). “Automatic information extraction from semi-structured Web pages by pattern discovery”. Decision Support System, 35, 129-147.
Chang, C.T. (2002). “Optimization approach for data allocation in multidisk database”. European Journal of Operational Research, 143, 210-217.
Chen, M.S., Han, J., and Yu, P.S. (1996). “Data mining: an overview from a database perspective ”. IEEE Transactions on Knowledge and Data Engineering, 8(6), 866-883.
Chen, T.J., Chou, L.F., and Hwang, S.J. (2003). “Application of a Data-Mining Technique to Analyze Coprescription Patterns for Antacids in Taiwan”. Clinical Therapeutics, 25(9), 2453-2463.
Cheng, C.H., Lee, W.K., and Wong, K.F. (2002). “A genetic algorithm-based clustering approach for database partitioning”. IEEE Transaction on System, Man, and Cybernetics Part C: Applications and Reviews, 32(3).
Fong, J., Hughes, J.G., and Zhu, J. (2000). “Online Web Mining Transactions Association Rules using Frame Metadata Model”. Web Information Systems Engineering, 2000. Proceedings of the First International Conference on , 2(19-21), 121-129.
Hsieh, N. C. (2004). “An integrated data mining and behavioral scoring model for analyzing bank customers”. Expert Systems with Applications, 27, 623-633.
Hsu, C.H., Lee, G., and Chen, A.L.P. (2002). “Index and data allocation on multiple broadcast channels considering data access frequencies”. Proceedings of Third International Conference on Mobile Data Management, 8-11, 87-93.
Jensch, J., Luling, R., and Sensen, N. (1998). “Optimising the file allocation of parallel web server online using access patterns”. Proceedings of the 1998 ICPP Workshops on Architectural and OS Support for Multimedia Applications Flexible Communication Systems Wireless Networks and Mobile Computing.
Kitsuregawa, M., Shintani, T., and Pramudiono, I. (2001). “Web Mining and its SQL based parallel Execution”. Information Technology for Virtual Enterprises, 2001. ITVE 2001. Proceedings. Workshop on , 29-30, 128 – 134.
Klemettinen, M., Mannila, H., and Toivonen, H. (1999). “Interactive exploration of interesting findings in the Telecommunication Network Alarm Sequence Analyzer TASA”. Information and Software Technology, 41, 557-567.
Koonce, D.A., and Tsai, S.-C. (2000). “Using data mining to find patterns in genetic algorithm solutions to a job shop schedule”. Computers & Industrial Engineering, 38, 361-374.
Liao, S.H., and Chen, Y.J. (2004). “Mining customer knowledge for electronic catalog marketing”. Expert Systems with Applications, 27, 521-532.
Lim, S.J., and Ng, Y.K. (1997). “Vertical fragmentation and allocation in distributed deductive database systems”. Information Systems, 22(1), 1-24.
Madria, S.K., Raymond, C., Bhowmick, S., and Mohania, M. (2001). “Association Rules for Web Data Mining in WHOWEDA”. Digital Libraries: Research and Practice, 2000 Kyoto, International Conference on, 13-16, 227 – 233.
Park, J.-S., Chen, M.-S., and Yu, P.S. (1995). “An effective high based algorithm for mining association rules”. Proc. ACM SIGMOD, 175-186.
Post, G., and Kagan, A. (2001). “Database management systems: design considerations and attribute facilities”. The Journal of Systems and Software, 56, 183-193.
Rotem, D., Schloss, G.A., and Segev, A. (1993). “Data allocation for multidisk database”. IEEE Transactions on Knowledge and Data Engineering, 5(5), 882-887.
Rushing J.A., Ranganath, H.S., Hinke, T.H., and Graves, S.J. (2001). “Using Association Rules as Testure Features”. IEEE Transactions on Pattern Analysis and Machine Intelligence, 23(8), 845-858.
Shen, J.J., and Hung, T.L. (2003). “Minimizing transmission cost for distributed database design based on ontology schema”. The 17th International Conference on Advanced Information Neyworking and Applications, 27-29, 638-641.
Shaw, M.J., Subramaniam, C., and Tan, G.W. (2001). “Knowledge management and data mining for marketing”. Decision Support System, 31(1), 127-137.
Triantafillou, P., and Faloutsos, C. (1998). “Overlay striping and optimal parallel I/O for modern applications”. Parallel Computing, 24, 21-43.
Tsai, J.F., and Li, H.L. (2004). “Technical note – On optimization approach for multidisk vertical allocation problems”. European Journal of Operational Research, In Press, Corrected Proof, Available online 8 June 2004.
Zaman, K.A., and Padmanabhan, S. (2001). “An efficient workload-based data layout scheme for multidimensional data”. Data & Knowledge Engineering, 39, 271-291.