|
壹、參考文獻[1] Adeli, Hojjat & Hung, Shih — Lin, 1995, Machine Learning : Neural networks, Genetic algorithm, and Fuzzy system, Wiliey.[2] Agrawa R. l and Srikant R., Mining sequential patterns, 1995, In Proc. Eleventh International Conf. on Data Engineering, IEEE Computer Society Press, pp.3-14. [3] Agrawal R. and Srikant R.,1994, Fast Algorithm for Mining Association Rules in Large Database. In Proc. Int’1 Conf. VLDB, pp.487-499, Santiago, Chile.[4] Agrawal R., T. Imilienski, and A. Swami., 1993, Mining Association Rules between Sets of Items in Large Databases. Proc. of the ACM SIGMOD Int’1 Conf. on Management of Data, p.207-216, [5] Anwar, T. M., Beck, H. W. and Navathe, B., 1992, “Knowledge Mining by Imprecise Querying: A Classification-Based Approach” IEEE 8th International Conference on Data Engineering, Phoenix, Arizona.[6] Aristide 1993, Kaski Et al.(1998), Ainsworth (1998)[7] Baily, D. 1990，Developing neural network applications. Ai Expert, p.31~41。[8] Berry, M. J. A. and Linoff, G., 1997，Data mining Technique For Marketing, Sale And customer Support, Wiley Computer.[9] Breiman L., J. Friedman, R. Olshen, and C. Stone,1984, Classification of Regression Tree, Wadsworth.[10]Cabena, P., P.O. Hdjinian, R.Stadler, DR.J. Verhees, and A. Zanasi,1997，Discovering Data Mining from Concept to Implementation, Prentice Hall, p.12.[11]Castro L. N. de and F. J. Von Zuben, 1999, “An Improving Pruning Technuique with Restart for the Kohonen Self-Organizing Feature Map”, IEEE, pp.1916-1919.[12]Curt H., 1995, “The Devil’s in the Detail:Techniques, Tools, and Application for Database mining and Knowledge Discovery-Part 1”, Intelligent Software Strategies, vol.6, no.9.[13]Dash M., H. Liu and J. Yao, Dimensionality Reduction for Unsupervised Data. In Proceedings of IEEE International Conference on Tools with Artificial Intelligence (TAI-97).[14]Fayyad, U. M., October 1996, “Data Mining and Knowledge Discovery: Making Sense out of Data, “IEEE Expert, Vol.11, No5,.[15]Fayyad U. and Stolrz P., 1996 “Dat Mining: An Overview From A Database Perspective”, IEEE Transactions on Knowledge and Data Engineering, Vol.8 No.6.[16]Fayyad U. and Stolrz P., 1997 “Data Mining and KDD:Promise and Challenges”, Future Generation Computer Systems, Vol.13.[17]Fishwick, P.A. and Tang, Z.，1991，Time series forecasting using neural networks vs. Box-Jenkins methodology，Simulation.[18]Frawley, W.J., Paitersky-Shapior, G. and Matheus, C. J., 1991,“Knowledge Discovery in Databases: An Overview,” Knowledge Discovery in Databases, California, AAA/MIY Press.[19]Franklin Allen, Risto Karjalainen, “Using genetic algorithms to find technical trading rules” Journal of Financial Economics 51 (1999) p.245—271。[20]Fritzke,1994,“Growing cell structures a self-organizing network for unsupervised and supervised learning,” Neural Networks, Vol.7, No.9,.[21]Fu Y., 1997, “Data mining task technique and applications”,IEEE Potentials.[22]Goldberg, David Edward, 1989, Genetic Algorithm in search , Optimization, and Machine Learning, Addison-Wesley.[23]Grupe, F. H.and Owrang, M. M., 1995, “Database Mining Discovering New Knowledge And Cooperative Advantage,” Information Systems Management, Vol.12, No.4.[24]Holland, J. H. ,1975, “Adaptation in Natural and Artificial System“ , University of Michigan Press[25]Holland, J.H., 1992，Adaptation in Natural and Artificial System: an introductory analysis with applications to biology, control, and artificial intelligence, MIT press.[26]Hush, D. R. and Horne, B.，1992，An overview of neural networks. I. Static networks. Information y Automation。[27]Lo Z. P. and Bavarian B., 1991, “On the rate of convergence in topoloty preserving neural networks,” Biological Cybernetics, Vol.65, pp.55-63.[28]Jackie Kandell,April 2000, “CRM, ERM, one-to-one Decoding Relationship Management Theory and technology”, Trusts & Estates.[29]Jeff Caldwell, May 2000, “Building a sustainable E-Business CRM strategy”, Agency Sales Magazine.[30]Jeong , I. K. and J. J. Lee, “adaptive simulated annealing genetic algorithm for system identification,” Engineering application artificial Intelligence, 9:5 ,1996, 523-532[31]Jr B. and R. J., 1998 “Efficiently mining long patterns from databases”, In Proc. of ACM SIGMOD Conf. on the Management of Data, ACM Press[32]Johan Himberg, Jussi Ahola, Esa Alhoniemi, Juha Vesanto and Olli Simula “The Self-Organizing Map as a Tool in Knowledge Engineering,” Helsinki University of Technolog.[33]John Ott , November 2000 , “Successfully development and Implementing Continuous relationship management”, e-Business executive report[34]John.W Sammon, Jr. May 1969, A nonlinear mapping for data structure analysis. IEEE Transactions on Computers, C-18(5):401-409,.[35]Jun Y. P., Yoon H., J. W. Cho, “L .,1993, learning: a fast self-organizong feature map learning algorithm based on incremental ordering,” IEICE Transactions on Information & Systems, Vol. E76, No.6, pp. 698-706,.[36]Kaastra, I and Boyd, M，1996，A comparison of artificial neural network and time series models for forecasting commodity Prices.，Neurocomputing，10(3)，p.169~181。[37]Kassline. Kasslin, M.,Kangas, J., and simula, O.,1992, “Process State Monitoring Using Self-Organizing Maps.” In Aleksander, I. And Taylory, J., editors, Artificial Neural Networks, volume II, pages 1531-1534, Amsterdam, Netherlands. North-Holland. [38]Katz, J.O. 1992，“Developing neural network forecasters for trading”，Technical Analysis of Stocks and Commodities.[39]Kohonen, T.,1995, Self-Organizing Maps, volume 30 of Springer Series ing Information Sciences. Springer, Berlin, Heidelberg.[40]Kohonen, T., Oja, E., Simula, O., Visa, A., and Kangas,J.,1996, “ Engineering Aplications of the SelfOrganizing Map. Proceedings”, IEEE,84(10):1358-1384[41]Kohonen, T., ,1991 ,“Self-organizing maps: Optimization approaches,” in Artificial Neural Network, T.Kohonen, K.Makisara, O. Simula, and J.Kangas, Eds. Amsterdam, The Netherlands: Elsevier, pp.981-990[42]Kohonen T, 1996 “The self-organizing in kohonen’s SOM,” Neural Network, Vol.9, No.9,.[43]Liu H. and Motoda H., 1998, Feature Selection for Knowledge Discovery and Data Mining, Kluwer Academic Publisher.[44]Machael.S. Chen, J. Han and P. S. Yu,1996, “Data Mining: An Overview From A Databse Perspective”, IEEE Transactions on Knowledge and Data Engineering, Vol.8 No.6, p866-883.[45]Mitchell, Melanie, 1996, An Introduction to Genetic Algorithm, MIT Press.[46]Plaut, D., Nowlaw, S., and Hinton, D.，1986， Experiments on learning internal representations by error propagation in Rumelhart, D. E., McMclelland, J. L., et al.eds., Parallel Distributed Processing, Vol. 1, Chap. 8, Cambridge, MA: MIT Press.[47]Pieter A., Z.Dolf, 1996, Data Mining, Addison Wesley [48]Quinlan, J. R. ,1993, “C4.5:Programs for Machine Learning” San Meteo, Calif, Morgan Kaufmann Publishers.[49]Quinlan, J. R., 1986 “Induction of Decision Trees,” Machine Learning,Vol.1, No.1.[50]Quinlan J. R., , 1993,C4.5:Programs for Machine Learning, Morgan Kaufmann.[51]Quinlan J. R., 1996,Induction of decision trees, Machine Learning.[52]Salchenberger, L.E. 1992，Neural networks：A new tool for Predicting thrift failures. Decisions Sciences,.[53]Simon Haykin，1999，Neural Networks：A Comprehensive Foundation, Prentice Hall International Editions.[54]Sim D. S., 1999, “Self-Organizing Neural Networks For Unsupervised Color Image Recognition”,IEEE.[55]Simula and Kangas simula, O. and Kangas, J.,1995, Neural Networks for Chemical Engineers, volume6 of Computer-Aided Chemical Engineering, Ch14:Process monitoring and visualization using self-organizing maps, pages 371-385. Elsevier, Amsterdam.[56]Smyth, P. and Goodman, R.M., 1991, “Rule Induction Using Information Theory,” Knowledge Discovery in Database, California, edited by G. Piatesky Shapiro and W. J. Frawley, AAAI/MIT Pres,.[57]Su M. C., T. K. Liu, and H. T. Chang., 1999, “An efficient initialization scheme for the self-organizing feature map algorithm,” IEEE International Joint Conference on Neural Networks, Washington D.C.[58]Tang, Man, K.F.,K.S., & Kwong, S., 1996,“Genetic Algorithms:concepts and applications”, IEEE Transactions On Industrial Electronics, Vol.43, No.5,pp.519~553.[59]Tryba, V., Metzen, S., and Goser, K. 1989. “Designing basic integrated circuits by self-organizing feature maps”. In Neuro-Nimes ’89. International Workshop. Neural Networks and their Application, pages 225-235,Nanterre, France.[60]Tsur. S., 1990 “Data Dredging,” IEEE 6th International Conference on Data Engineering, Vol. 9.[61]Ultsch and Siemon Ultsch, A. and Siemon, H.,1990,. Kohonen’s Self Organizing Feature Maps for Exploratory Data Analysis. In Proceedings of the International Neural Network Conference (INNC’90),, Dordrecht, Netherlands Kluwer.[62]Veelenturf L. P. J. ,1995,Analysis and Applications of Artificial Neural Networks, Prentice Hall.[63]www.csie.nctu.edu.tw/~syhwang/class/AI/advance1/kohonen[64]Anderson原著，周福星校閱 ，1999，Statistics for Business & Economics-統計學(上)(第六版) 滄海書局。[65]Bill Gates，1999, 樂為良譯，數位神經系統-與思想等快的明日世界，商業週刊出版，城邦文化發行。[66]Drucker, P. F., 1993，傳振焜譯，後資本主義社會，時代文化出版。[67]Jeremy Hope & Laurence Prusak, 1999, 王瓊淑譯，笑傲第三波，經典傳訊文化出版。[68]Moore, David S.著，鄭惟厚譯，1998，統計,讓數字說話，天下文化出版。[69]安迅資訊公司，1999，”整合企業經營策略與顧客關係管理”，電子化企業經理人報告。[70]吳乙鴻，1999，應用類神經遺傳演算法建立電腦輔助設計模式之研究，成功大學工業設計碩士論文[71]林育宏， 2002，建構可供資料採擷之壽險客戶關係管理模式，國立高雄第一科技大學風險管理與保險系碩士論文。[72]林惠玲、陳正倉著，1996，統計學－方法與應用(上冊)，台北市：雙葉書廊有限公司。[73]孟慶生，1992年，資訊理論，儒林圖書有限公司[74]張金華，2000，適用於資料採擷的屬性挑選與快速k-means組群化演算法，逢甲大學資訊工程研究所碩士論文。[75]張哲彰，2000，以類神經網路為基發展製程管制程序監控具有群聚現象之產品缺點，元智大學工業工程所碩士論文。[76]陳一坒，2001，發展智慧型代理人軟體以支援電子商務內保險經紀人之角色，國立高雄第一科技大學風險管理與保險系研究所碩士論文。[77]陳文華，2000，顧客關管理基石-顧客知識取得與分析，能力雜誌，Vol.529。[78]陳建安，1999，整合類神經網路與遺傳演算法為輔之模糊神經網路於智慧型訂單選取之應用，臺北科技大學生產系統工程與管理碩士論文。[79]葉怡成，1999，類神經網路模式應用與實作，儒林圖書有限公司。[80]陳順宇，2000，多變量分析，華泰書局，2版。 [81]尋勇智，1996，應用層次及群集分析法評估電力系統運轉模擬，逢甲大學電機工程研究所碩士論文。[82]黃尹龍，2000，類神經網路架構颱洪流量預測模式，逢甲大學土木及水利工程研究所碩士論文。[83]黃彥文，2000，資料探勘之應用－會員消費特徵之發掘，國立屏東科技大學資訊管理系碩士論文。[84]黃文隆，1999，抽樣方法，滄海書局，4版。[85]楊敏生，1996，類別資料之模糊聚類分析，中原大學數學研究所碩士論文。[86]資料來源：http://www.moderncom.org.tw/ (經濟部商業現代化；NO.46)[87]趙志運，2001，以自組織映射圖為基礎之類神經模糊系統，淡江大學電機工程所碩士論文[88]樓玉玲1998，以資料採擷技分析政大通識課程，國立政治大學資訊管理研究所碩士論文。[89]謝育勳，2000，員工知識管理資訊系統之設計與發展－資料採擷技術之應用，國立中央大學立力資源管理研究所。[90]鐘文杰，2001，整合自組織映射圖網路與遺傳演法為輔之K-Means於顧客關係管理中，國立台北科技大學生產系統工程與管理研究所碩士論文。[91]藍茂榮，1999，以統計方法分析設計倒傳遞網路學習績效與次數，台灣大學工業工程學系碩士論文。[92]蘇木春、張孝德，1997，機器學習類神經網路、模糊系統以基因演算法則，全華科技出版。
|