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  1. 1
    دورية أكاديمية
  2. 2
    دورية أكاديمية

    المساهمون: 小兒科

    مصطلحات موضوعية: Allergy, asthma, off-target effect, RNAi, siRNA, therapy

    العلاقة: CURRENT OPINION IN MOLECULAR THERAPEUTICS v.11 n.6 pp.652-663; http://ntur.lib.ntu.edu.tw/handle/246246/186790Test

  3. 3
    دورية أكاديمية

    المؤلفون: 鄭味亭, Cheng, Wei-Ting

    المساهمون: 曹承礎, 臺灣大學:資訊管理學研究所

    وصف الملف: 3276189 bytes; application/pdf

    العلاقة: 一、中文部分 【1】 王喬儀(2007),「資料探勘方法應用於目標市場分析之研究──可停電力潛在目標用戶探勘分析實例應用」,國立台灣大學資訊管理所碩士論文。 【2】 許哲瑋(2003),「資料挖掘與統計方法應用於資料庫行銷之實證研究──以美妝保養品為例」,國立台北大學企業管理所碩士論文。 【3】 尹相志(2005),「Microsoft SQL Server 2005 資料採礦聖經」,第一版,學貫行銷。 【4】 哈嘉琪(2005),「2030年數位生活情境分析—數位家庭應用之研究」,國立交通大學科技管理研究所碩士論文。 二、英文部分 【1】 Alter, S.L. (1980). Decision Support Systems: Current Practice and Continuing Challenges, Addison-Wesley. 【2】 Alter, S. (2004). A work system view of DSS in its fourth decade. Decision Support Systems. 38, 319-327. 【3】 Arnott, D.and Pervan, G (2005). A critical analysis of Decision Support Systems research, Journal of Information Technology, 20, 2, pp67-87. 【4】 Berry, T. & Wilson, D. (2000). On Target: The Book on Marketing Plans, Palo Alto Software. 1st Ed, 85-88. 【5】 Bezdek, J.C. (1981): Pattern Recognition with Fuzzy Objective Function Algorithms, Plenum Press. 【6】 Brafman, R.I., Friedman, N. (2001). On decision-theoretic foundations for defaults. Artificial Intelligence, 133, 1–33. 【7】 Breiman, L., Friedman, J.H., Olshen, R.A., and Stone, C.J. (1984). Classification and Regression Trees, Belmont, CA. 【8】 Cooper, B.L., Watson, H.J., Wixom, B.H. and Goodhue, D.L. (2000) Data warehousing supports corporate strategy at First American Corporation. MIS Quarterly, 24(4), 547-567. 【9】 Dastani, M., Hulstijn, J, Torre, and L van der (2005). How to decide what to do? European Journal of Operational Research, 160, 762–784. 【10】 David E. A. Giles (2001). Econometric Modelling Based on Pattern Recognition via the Fuzzy c-Means Clustering Algorithm. Department of Economics of University of Victoria Working Paper EWP0101. 【11】 Doyle, J., Thomason, R. (1999). Background to qualitative decision theory. AI Magazine, 20(2), 55–68. 【12】 Dunn, J.C. (1973): A Fuzzy Relative of the ISODATA Process and Its Use in Detecting Compact Well-Separated Clusters, Journal of Cybernetics 3: 32-57. 【13】 Giles, D.E.A. & Draeseke, R. (2001). Econometric modeling based on pattern recognition via the Fuzzy c-means clustering algorithm. Department of Economics Working Paper EWP0101, University of Victoria. 【14】 Han, J. & Kamber, M. (2001). Data Mining Concepts and Techniques. San Francisco: Morgan Kaufmann Publishers. 【15】 Haughton, D. & Oulabi, S. (1997). Direct Marketing Modeling with CART and CHAID. Journal of Direct Marketing, 11, 44-52. 【16】 Jain, A.K., Murty, M.N. & Flynn, P.J. (1999). Data Clustering: A Review. ACM Computing Surveys, 31, 264-323. 【17】 Jain, S.C., (1999). Marketing Planning and Strategy, South-Western Educational Publishing. 6th Ed, 23-25. 【18】 Jelassi, M.T., Kersten, G. and Zionts, S. (1990) An Introduction to Group Decision and Negotiation Support, Springer-Verlag, 1st Ed. 【19】 Joerg, R., Helena G., Hosung K.& Damiaan Z. Intelligent Miner for Data: Enhance Your Business Intelligence, IBM, June 1999. 【20】 Kokotos, D.X. & Smirlis, Y.G. (2005). A Classification Tree Application to Predict Total Ship Loss, Journal of Transportation and Statistics, 8, 31-42. 【21】 Kotler, P, Armstrong, G., Saunders, J. & Wong, V.(1999). Principles Of Marketing, Prentice Hall Europe. 2nd European Ed, 402. 【22】 Kotler, P. (2001). Marketing Management Millenium Edition, Prentice Hall Europe. 10th Ed, 402. 【23】 Lewis, R.J. (2000). An Introduction to Classification and Regression Tree (CART) Analysis, Presented at 2000 Annual Meeting of the Society for Academic Emergency Medicine in San Francisco, California. 【24】 Masand, B., Datta, P., Mani, D.R. & Li, B. (1999). CHAMP: A Prototype for Automated Cellular Churn Prediction, Data Mining and Knowledge Discovery, 3, 219-225. 【25】 McDonald, M. & Dunbar, I. (2004). Market Segmentation: How to do it, how to profit from it, Elsevier. 1st Ed, 45-48. 【26】 Mingoti, S.A. & Lima, J.O. (2006). Comparing SOM neural network with Fuzzy c-means, K-means and traditional hierarchical clustering algorithms, European Journal of Operational Research, 174, 1742-1759. 【27】 Nadel, S. & Geller, H. (1996). Utility DSM. What have we learned? Where are we going? Energy Policy, 24, 289-302. 【28】 Postma, T. J. B. M. & Liebl, F. (2005) How to improve scenario analysis as a strategic management tool? Technological Forecasting and Social Change, 72, 161-173. 【29】 Schoemaker, R.J.H. (1991) When and How to Use Scenario Planning: A Heuristic Approach with Illustration. Journal of Forecasting, 10, 549-564. 【30】 Schoemaker, R.J.H. (1995) Scenario Planning: A Tool for Strategic Thinking. Sloan Management Review, 36, 25-40. 【31】 Tao, C.W. (2002). Unsupervised fuzzy clustering with multi-center clusters. Fuzzy Sets and Systems, 128, 305-322. 【32】 Turban, E., Aronson, J.E. and Liang, T-P. (2005) Decision Support Systems and Intelligent Systems, Prentice Hall, 7th Ed. 【33】 Ture, M., Kurt, I., Kurum, A.T. & Ozdamar, K. (2005). Comparing classification techniques for predicting essential hypertension, Expert Systems with Applications, 29, 583-588. 【34】 Wilkinson, L. (1992). Tree structured data analysis: AID, CHAID and CART, Presented at the 1992 Sun Valley, ID, Swatooth/SYSTAT Joint Software Conference. 【35】 Winston, W.L. (2004). Operations Research Application and Algorithms, Thomson Learning. 4th Ed, 1-4 【36】 Wright, G. & Goodwin, P. (1999) Future-Focused Thinking: Combining Scenario Planning with Decision Analysis. Journal of Multi-Criteria Decision Analysis, 8, 311-321. 三、參考網頁 【1】 A Tutorial on Clustering Algorithms. Available at: http://www.elet.polimi.it/upload/matteucc/Clustering/tutorial_htmlTest/. Accessed 27 January 2007 【2】 Andrej Turčan, Eva Ocelíková, and Ladislav Madarász. Fuzzy C-Means Algorithms in Remote Sensing. Available at: http://www.bmf.hu/conferences/SAMI2003/Ocelikova.pdfTest. Accessed 27 January 2007 【3】 Shih Y.S. QUEST Classification Tree (version 1.9.2). Available at: http://www.stat.wisc.edu/~loh/quest.htmlTest. Accessed 27 January 2007 【4】 SPSS Inc.(1999). AnswerTree Algorithm Summary. SPSS white paper. Available at: http://www.sinter.com.tw/etdc/spss_paper/AnswerTreeAlgorithm.pdfTest. Accessed 7 February 2007 【5】 Yildiz, O.T. & Alpaydin, E. (1998). Comparing Univariate and Multivariate Decision Trees, Retrieved December 15, 2006, from http://haydut.cmpe.boun.edu.tr/papers/tainn_olcay.docTest. Accessed 27 January 2007 【6】 台電企業網站,網址:http://www.taipower.com.twTest,閱覽日期:2007/2/7。 【7】 李建德,黃鐘賢。「Fuzzy C-means 演算法於彩色影像自動分割之研究」,網址:http://dspace.lib.fcu.edu.tw:8080/dspace/handle/2377/3041Test,閱覽日期:2007/2/7。; zh-TW; http://ntur.lib.ntu.edu.tw/handle/246246/54374Test; http://ntur.lib.ntu.edu.tw/bitstream/246246/54374/1/ntu-96-R94725011-1.pdfTest

  4. 4
    دورية أكاديمية

    المؤلفون: 王喬儀, Wang, Chiao-Yi

    المساهمون: 曹承礎, 臺灣大學:資訊管理學研究所

    وصف الملف: 1438686 bytes; application/pdf

    العلاقة: 一、中文部分 【1】 尹相志著 (2006),「SQL Server 2005 資料採礦聖經」,初版,學貫行銷。 【2】 王信惠 (2003),「資料探勘在目標行銷應用之個案研究---以電信客戶為例」,大葉大學訊管理研究所在職專班碩士論文。 【3】 王毓菁 (2002),「圖書館閱覽者群組潛在特徵探勘資訊系統」,華梵大學工業管理所碩士論文。 【4】 台灣電力公司業務處 (1993),「表燈用電負載管理策略之研究」 ,台灣電力公司八十二年度研究發展專題報告。 【5】 台灣電力公司業務處 (1994),「造紙業用電特性對負載管理策略影響之調查研究」,台灣電力公司八十三年度研究發展專題報告。 【6】 台灣電力公司企劃處 (1996),「台灣地區總體經營環境變化對電力發展模擬分析──以水泥業之影響為例」,國立成功大學資源工程究所與台灣電力公司建教合作案報告。 【7】 台灣電力公司業務處 (1998),「電機與電子業用電特性對負載管理策略影響之研究」,台灣電力公司八十七年度研究報告。 【8】 台灣電力公司業務處 (2000),「負載管理目標值訂定及績效評估模式之研究」,台灣電力公司八十九年度研究計劃報告。 【9】 台灣電力公司綜合研究所 (1991),「負載管理價格需求彈性對用電特性之影響」,台灣電力公司八十年度研究報告。 【10】 台灣電力公司綜合研究所 (1993),「大台北地區服務業缺電成本之研究」,台灣電力公司八十二年度研究發展計劃報告。 【11】 台灣電力公司綜合研究所 (1997),「電價對產業用電行為影響分析及其模型之建立」,台灣電力公司八十六年度研究發展計劃報告。 【12】 台灣電力公司綜合研究所 (2004),「電力市場自由化下需量交易制度之可行性研究」,台灣電力公司九十三年度研究計劃報告。 【13】 呂家賢 (2005),「運用資料探勘技術於大學圖書館圖書資源推廣利用之研究」,銘傳大學管理研究所在職專班碩士論文。 【14】 吳振晃 (2003),「資料採礦技術於銀行授信之應用──以消費者貸款為例」,中國文化大學資訊管理所在職專班碩士論文。 【15】 吳萬益、林清河著 (2001),「企業研究方法」,初版,華泰文化。 【16】 高淑珍 (2004),「應用資料探勘於顧客回應模式之研究──以國內A壽險公司為例」,國立成功大學企業管理所博士論文。 【17】 許哲瑋 (2003),「資料挖掘與統計方法應用於資料庫行銷之實證研究──以美妝保養品為例」,國立台北大學企業管理所碩士論文。 【18】 潘明宏、陳志瑋譯 (2003),「最新社會科學研究方法」,2003年革新重譯本,韋伯文化。 【19】 范國恩 (2004),「行動電話服務市場之轉換用戶市場區隔研究──以台北市地區為例」,國立成功大學電信管理所碩士論文。 【20】 張豫雯 (2003),「應用資料探勘挖掘潛在電子商務客戶群」,大同大學資訊工程所碩士論文。 二、英文部分 【1】 Arshadi, N. & Jurisica, I. (2005). Data mining for case-based reasoning in high-dimensional biological domains. IEEE Transactions on Knowledge and Data Engineering, 17, 1127-1137. 【2】 Bayam, E., Liebowitz, J. & Agresti, W. (2005). Older drivers and accidents:A meta analysis and data mining application on traffic accident data. Expert Systems with Applications, 29, 598-629. 【3】 Bloom, J.Z. (2005). Market Segmentation.A Neural Network Application. Annals of Tourism Research, 32, 93-111. 【4】 Brachman, R.J., Khabaza, T., Kloesgen, W., Piatetsky-Shapiro, G. & Simoudis, E. (1996). Mining Business Databases. Communication of the ACM, 39, 42-48. 【5】 Changchien, S.W. & Lu, T.C. (2001). Mining association rules procedure to support on-line recommendation by customers and products fragmentation. Expert Systems with Applications, 20, 325-335. 【6】 Daskalaki, S., Kopanas, I., Goudara, M. & Avouris, N. (2002). Data mining for decision support on customer insolvency in telecommunications business. European Journal of Operational Research, 145, 239-255. 【7】 Debska, B. & Wianowska, E. (2002). Application of cluster analysis methods in prediction of polymer properties. Polymer Testing, 21, 43-47. 【8】 Fayyad, U., Piatetsky-Shapiro, G. & Smyth, P. (1996). The KDD Process for Extracting Useful Knowledge from Volumes of Data. Communication of the ACM, 39, 27-34. 【9】 Fayyad, U. & Stolorz, P. (1997). Data mining and KDD: Promise and challenges. Future Generation Computer Systems, 13, 99-115. 【10】 Feelders, A., Daniels, H. & Holsheimer, M. (2000). Methodological and practical aspects of data mining. Information and Management, 37, 271-281. 【11】 Ha, S.H. & Park, S.C. (1998). Application of data mining tools to hotel data mart on the Intranet for database marketing. Expert Systems with Applications, 15, 1-31. 【12】 Han, J. & Kamber, M. (2001). Data Mining Concepts and Techniques. San Francisco: Morgan Kaufmann Publishers. 【13】 Hirst, E. (1996). The future of DSM in a restructured US electricity industry. Energy Policy, 24, 303-315. 【14】 Hoffman, K.D., Czinkota, M.R., Dickson, P.R., Dunne, P., Griffin, A., Hutt, M.D., Krishnan, B.C., et al. (2005). Marketing Principles and Best Practices (3rd ed.). USA: South-Western, Thomson. 【15】 Hung, S.Y., Yen, D.C. & Wang, H.Y. (2006). Applying data mining to telecom churn management. Expert Systems with Applications, 31, 515-524. 【16】 Jain, A.K., Murty, M.N. & Flynn, P.J. (1999). Data Clustering: A Review. ACM Computing Surveys, 31, 264-323. 【17】 Johnson, R.A. & Wichern, D.W. (2002). Applied Multivariate Statistical Analysis (5th ed.). Prentice Hall. 【18】 Lee, T.S., Chiu, C.C., Chou, Y.C. & Lu, C.J. (2006). Mining the customer credit using classification and regression tree and multivariate adaptive regression splines. Computational Statistics and Data Analysis, 50, 1113-1130. 【19】 Liu, D.R. & Shih, Y.Y. (2005). Integrating AHP and data mining for product recommendation based on customer lifetime value. Information & Management, 42, 387-400. 【20】 Masand, B., Datta, P. & Li, B. (1999). CHAMP : A Prototype for automated cellular churn prediction. Data mining and Knowledge Discovery, 3, 219-225. 【21】 Nadel, S. & Geller, H. (1996). Utility DSM. What have we learned? Where are we going? Energy Policy, 24, 289-302. 【22】 Shahapurkar, S.S. & Sundareshan, M.K. (2004). Comparison of Self-Organizing Map with K-Means Hierarchical Clustering for Bioinformatics Applications. Neural Networks, 2004, Proceedings. 2004 IEEE International Joing Conference on, 1221-1226. 【23】 Spangler, W.E., Gal-Or, M. & May, J.H. (2003). Using Data Mining to Profile TV Viewers. Communication of the ACM, 46, 67-72. 【24】 Ultsch, A. (1995). Self Organizing Neural Networks perform different from statistical k-means clustering. Proc. Conf. Soc. For Information and Classification, Basel. 【25】 Vashishtha, S. & Ramachandran, M. (2006). Multicriteria evaluation of demand side management (DSM) implementation strategies in the Indian power sector. Energy, 31, 1874-1889. 【26】 Wind, Y. (1978). Issues and Advance in Segmentation Research. Journal of Marketing Research, 15, 317-337. 【27】 Wu, C.H., Kao, S.C., Su, Y.Y. & Wu, C.C. (2005). Targeting customers via discovery knowledge for the insurance industry. Expert Systems with Applications, 29, 291-299. 【28】 Zhou, Z.H. (2003). Three perspectives of data mining. Artifical Intelligence, 143, 139-146. 三、參考網頁 【1】 王京明 (2002),「電業自由化下我國電力需求面管理之未來展望」,國政研究報告,網址:http://www.npf.org.tw/PUBLICATION/SD/091/SD-R-091-028.htmTest,閱覽日期:2006/8/17。 【2】 台電企業網站,網址:http://www.taipower.com.twTest。 【3】 許宏敏,林志銘 (2001),「國際經濟論電力自由化後電力需求面管理之方向」,經濟情勢暨評論季刊第六卷第四期,網址:http://www.moea.gov.tw/~ecobook/season/9003/6-4-7.htmTest,閱覽日期:2006/8/17。 【4】 黃奕儒 (2003),「不同的立場──由需求面管理看節約能源」,經濟部能源局92年5月能源報導,網址:http://www.tier.org.tw/energymonthly/outdatecontent.asp:ReportIssue=9209&Page=29Test,閱覽日期:2006/8/17。 【5】 陳玫如 (2004),「我國需量反應制度之可行性研究」,網址:http:// 210.71.199.201/research/impdf/576.pdf ,閱覽日期:2006/9/8。 【6】 謝邦昌統計電子學校網站,網址:http://www.stat.fju.edu.tw/Teachonline/benchangTest/,閱覽日期:2006/5/25。; zh-TW; http://ntur.lib.ntu.edu.tw/handle/246246/54291Test; http://ntur.lib.ntu.edu.tw/bitstream/246246/54291/1/ntu-96-R94725009-1.pdfTest

  5. 5
    دورية أكاديمية

    المؤلفون: 邱佩玲, Chiu, Pei-Ling

    المساهمون: 林永松, 臺灣大學:資訊管理學研究所

    وصف الملف: 1363563 bytes; application/pdf

    العلاقة: [AGP04] Z. Abrams, A. Goel, and S. Plotkin, “Set K-Cover Algorithms for Energy Efficient Monitoring in Wireless Sensor Networks,” in Proc. 3rd International Symposium on Information Processing in Sensor Networks (IPSN’04), April 2004, pp. 424-432. [AS03] S. Adlakha and M. Srivastava, “Critical Density Thresholds for Coverage in Wireless Sensor Networks,” IEEE Wireless Communication and Networking, vol. 3, March 2003, pp. 1615-1620. [ASC02a] I. F. Akyildiz, W. Su, Y. Sankarasubramaniam, and E. Cayirci, “Wireless Sensor Networks: a Survey,” Computer Networks, vol. 38, March 2002, pp. 393-422. [ASC02b] I. F. Akyildiz, W. Su, Y. Sankarasubramaniam, and E. Cayirci, “A Survey on Sensor Networks,” IEEE Communications Magazine, August 2002, pp. 102-114. [BG77] M. L. Bazarra and J. J. Goode, “The Traveling Salesman Problem: A Duality Approach,” Math. Programming, vol. 13, 1977, pp. 221-237. [BHE00] N. Bulusu, J. Heidemann, and D. Estrin, “GPS-less Low-Cost Outdoor Localization for Very Small Devices,” IEEE Personal Communications, October 2000. [BKX06] X. Bai, S. Kumar, D. Xuan, Z. Yun, and T. H. Lai, “Deploying Wireless Sensors to Achieve both Coverage and Connectivity,” in Proc. 7th International Symposium on Mobile Ad Hoc Networking and Computing (ACM MobiHoc’06), 2006. [BP00] P. Bahl and V. N. Padmanabhan, “RADAR: an In-Building RF-based User Location and Tracking System,” in Proc. IEEE INFOCOM 2000, vol. 2, March 2000, pp. 775-784. [CCK06] Y. H. Cho, S. P. Choi, W. Y. Kim, and E. C. Choi, “Development of Sensor Network Nodes for Ultrasonic Sensor-Driven Position System Inside Buildings,” in Proc. IEEE International Conference on Sensor Networks, Ubiquitous, and Trustworthy Computing, vol. 2, 2006, pp. 232–236. [CCR01] P. Castro, P. Chiu, T. Rremenek, and R. R. Muntz, “A Probabilistic Room Location Service for Wireless Networked Environments,” in Proc. ACM UbiComp 2001. [CCZ05] Y. Chen, C. N. Chuah, and Q. 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  6. 6
    دورية أكاديمية

    المؤلفون: 李益豪, Lee, Yi-Hao

    المساهمون: 高燕玉, 臺灣大學:分子與細胞生物學研究所

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  7. 7
    دورية أكاديمية

    المؤلفون: 潘寶珠, Pun, Pou-Chu

    المساهمون: 許輝吉, 臺灣大學:病理學研究所

    وصف الملف: 2791046 bytes; application/pdf

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  8. 8
    دورية أكاديمية

    المؤلفون: 陳姵君, Pei-Chun, Chen Annie

    المساهمون: 梁博煌 教授, 臺灣大學:生化科學研究所

    وصف الملف: 4122313 bytes; application/pdf

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