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C602B资料辨识与分析实验室

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成立宗旨

    随着资讯科技的发展,企业很容易就可以取得大量的资料,因此现代是一个资料爆炸的时代。然而,过多的资料若没有进行良好的资料辨识与分析处理,仍然无法提供企业有用的资讯与知识,因此现代企业面临淹没于资料,渴望于知识的问题。所幸随着电脑计算能力呈指数增长,使得高速的计算成为可能,而人工智能技术与统计方法等技术的跨领域融合与整合,使得资料辨识与分析方法更为完善,进而让从大量的资料中萃取有用的知识成为可能。资料辨识与分析实验室成立之宗旨为,针对不同领域的各类资料,利用资料辨识与分析技术进行资料特征模式的辨识与分析,进而萃取出有用的资讯与知识以提昇企业在知识经济环境中的竞争力。

设备

  1. 个人电脑 8台
  2. 打印机 1台
  3. 类神经软件
  4. MATLAB
  5. MINITAB
  6. SPSS

课程规划

  • 一年级:计算机概论
  • 二年级:统计学、作业研究、品质管理
  • 三年级:应用统计、顾客关系管理、统计实务与软件应用
  • 四年级:商业智慧、需求管理与预测、最佳化方法、启发式方法
  • 硕士班:决策分析、资料探勘、类神经网络

产出

  • 计画案(2010-2016) 
  1. 建立新上市资讯产品销售预测架构之研究,(103-2622-E-231-002-CC3)行政院科技部 ,2014/11至 2015/10。
  2. 建构基于集成学习与极限学习机之集群式销售预测模式(MOST 103-2221-E-231-003-MY2),行政院科技部 ,2014/8至 2016/7。
  3. 建构织布业混合式订单需求预测模式之研究(NSC 102-2622-E-231-003-CC3),行政院国家科学委员会 ,2013/11至 2014/10。
  4. 基于不同特性之独立成份分析技术建构时间序列资料分析与预测模式(I) (102-2221-E-231-012-) ,行政院国家科学委员会 ,2013/8至 2014/7。
  5. 基于不同特性之独立成份分析技术建构时间序列资料分析与预测模式(I) (101-2221-E-231-006-) 行政院国家科学委员会 ,2012/8至 2013/7。
  6. 运用资料探勘技术分析连锁眼镜业顾客消费行为之研究 (101-2622-E-231-004-CC3)行政院国家科学委员会 ,2012/6至 2013/5。
  7. 整合独立成分分析与资料探勘技术建构以集群为基之预测模式 (2/2) (NSC 100-2628-E-231-001),行政院国家科学委员会 ,2011/8至 2012/7。
  8. 整合独立成分分析与资料探勘技术建构以集群为基之预测模式 (1/2) (NSC 99-2628-E-231 -001 --), 行政院国家科学委员会 ,2010/8至 2011/7。
  9. 整合GHSOM与MARS于资讯通路分店销售预测模式之建构(NSC 99-2622-E-231 -003 -CC3), 行政院国家科学委员会 ,2010/6至 2011/5。
  10. 整合小波转换与多元适应性云形回归于资料探勘预测模式之建构 (计划编号:99-IE-002-CM),清云科技大学 ,2011/1 至 2011/12。)
  11. 文化创意策展公司建构商业智慧系统之诊断与辅导(计画编号:PT099171076),经济部(学界协助中小企业科技关怀计画),2010/07至  2010/12
  12. 发展以独立成分分析为基之相关性制程监控架构(计划编号:99-30500-089),清云科技大学 ,2010/1 至 2010/12。
  •  期刊论文
  1. I-Fei Chen, Chi-Jie Lu*, (Jan. 2016) Sales forecasting by combining clustering and machine-learning techniques for computer retailing,  In Press,  Neural Computing and Applications, (SC) (MOST  103-2221-E-231-003-MY2  ).
  2. Ling-Jing Kao, Tian-Shyug Lee, Chi-Jie Lu* (Mach 2014) A multi-stage control chart pattern recognition scheme based on independent component analysis and support vector machine, In Press,  Journal of Intelligent Manufacturing (SCI) (NSC  102-2221-E-231-012-  ).
  3. Chi-Jie Lu and Chi-Chang Chang*, (June 2014) A hybrid sales forecasting scheme by combining independent component analysis with k-means clustering and support vector regression, The Scientific World Journal, Volume 2014, Article ID 624017, 8 pages, (SCI)  (NSC  100-2628-E-231-001  ).
  4. Wensheng Dai, Jui-Yu Wu, and Chi-Jie Lu*, (June 2014) Applying different independent component analysis algorithms and support vector regression for IT chain store sales forecasting, The Scientific World Journal, Volume 2014, Article ID 438132, 9 pages, (SCI) (NSC  102-2221-E-231-012-  ).
  5. Yuehjen E. Shao, Chi-Jie Lu and Chia-Ding Hou*, (April 2014) Hybrid Soft Computing Schemes for the Prediction of Import Demand of Crude Oil in Taiwan, Mathematical Problems in Engineering,Volume 2014, Article ID 257947, ,  11 pages (SCI).
  6. Chih-Jen Tseng, Chi-Jie Lu, Chi-Chang Chang*, Gin-Den Chen, (May 2014) Application of machine learning to predict the recurrence-proneness for cervical cancer, Neural Computing and Applications, Volume 24, No. 6, pp. 1311-1316 (SCI).
  7. Chi-Jie Lu*, (March 2014) Sales Forecasting of Computer Products Based on Variable Selection Scheme and Support Vector Regression, Neurocomputing, Volume 128, pp. 491-499 (SCI).
  8. Chi-Jie Lu, Yuehjen E. Shao* and Chin-Chan Li (March 2014), "Recognition of concurrent control chart patterns by integrating ICA and SVM", Applied Mathematics & Information Sciences, Volume 8, No. 2, PP. 681-689 . (SCI)
  9. Chi-Jie Lu*, (December 2013) Hybridizing nonlinear independent component analysis and support vector regression with particle swarm optimization for stock index forecasting, Neural Computing and Applications, Volume 23, Issue 7-8, pp 2417-2427 (SCI).
  10. Wensheng Dai, Yuehjen E. Shao and Chi-Jie Lu*, (November 2013) Incorporating feature selection method into support vector regression for stock index forecasting, Neural Computing and Applications, Volume 23, Issue 6, pp 1551-1561 (SCI)
  11. Ling-Jing Kao, Chih-Chou Chiu, Chi-Jie Lu* and Chih-Hsiang Chang, (Feburary 2013) A hybrid approach by integrating wavelet-based feature extraction with MARS and SVR for stock index forecasting, Decision Support Systems, (SCI )
  12. Ling-Jing Kao, Chih-Chou Chiu, Chi-Jie Lu* and Jung-Li Yang, (January 2013) Integration of nonlinear independent component analysis and support vector regression for stock price forecasting, Neurocomputing, Vol. 99, pp. 534-542 (SCI).
  13. Chi-Jie Lu, Yuehjen E. Shao* (December 2012), Forecasting computer products sales by integrating ensemble empirical mode decomposition and extreme learning machine, Mathematical Problems in Engineering, Volume 2012, Article ID 831201, 15 pages (SCI).
  14. Chi-Jie Lu, Tian-Shyug Lee*, Chia-Mei Lian, (December 2012) Sales forecasting for computer wholesalers: A comparison of multivariate adaptive regression splines and artificial neural networks, Decision Support Systems, 54(1), pp. 584-596 (SCI)
  15. Yuehjen E. Shao, Chi-Jie Lu* and Yu-Chiun Wang, (September 2012) A hybrid ICA-SVM approach for determining the quality variables at fault in a multivariate process, Mathematical Problems in Engineering, Vol. 2012, Article ID 284910, 12 pages, 2012. doi:10.1155/2012/284910 (SCI )
  16. Chi-Jie Lu*, (June 2012). An independent component analysis-based disturbance separation scheme for statistical process monitoring, Journal of Intelligent Manufacturing, Volume 23, Issue 3, pp 561-573 (SCI)
  17. Wensheng Dai, Jui-Yu Wu and Chi-Jie Lu* (March 2012), Combining nonlinear independent component analysis and neural network for the prediction of Asian stock market indexes, Expert Systems with Applications 39(4), pp. 4444-4452. https://lh4.googleusercontent.com/GKq7CS3uWjaF4r6l31UbrksLdm8v8C4uxOHbFnSGu7YKnjvHxxvLf6sBSv21mIesbbnU2Tcu2yPDDqlGvTkUCVptv7jf6OPHeK7zUk-Mk0AsY7rwhnrBEaIuQSjtjZrv(SCI).
  18. Chi-Jie Lu, Jui-Yu Wu* (December 2011). An efficient CMAC neural network for stock index forecasting, Expert Systems with Applications, 38(12), pp. 15194-15201 https://lh4.googleusercontent.com/GKq7CS3uWjaF4r6l31UbrksLdm8v8C4uxOHbFnSGu7YKnjvHxxvLf6sBSv21mIesbbnU2Tcu2yPDDqlGvTkUCVptv7jf6OPHeK7zUk-Mk0AsY7rwhnrBEaIuQSjtjZrv(SCI)
  19. Yuehjen E. Shao*, Chi-Jie Lu and Chih-Chou Chiu (September 2011). Fault detection system for an autocorrelated process using SPC/EPC/ANN and SPC/EPC/SVM schemes, International Journal of Innovative Computing, Information and Control 7(9), pp. 5417-5429 (SCI).
  20. Chi-Jie Lu, Yuehjen E Shao* and Bo-Shun Li (May 2011). Mixture control chart patterns recognition using independent component analysis and support vector machine, Neurocomputing, 74(11), pp. 1908-1914 (SCI).
  21. Ling-Jing Kao, Chi-Jie Lu, Chih-Chou Chiu* (April 2011). Efficiency measurement using independent component analysis and data envelopment analysis, European Journal of Operational Research, 210(2), pp. 310-317 (SCI)
  22. Chi-Jie Lu and Yen-Wen Wang* (December 2010). Combining independent component analysis and growing hierarchical self-organizing maps with support vector regression in product demand forecasting, International Journal of Production Economics, 128(2), pp. 603-613. (SCI)
  23. Chi-Jie Lu*, (October 2010). Integrating independent component analysis-based denoising scheme with neural network for stock price prediction, Expert Systems with Applications 37(10), pp. 7056-7064. (SCI)
  24. Chi-Jie Lu, Tian-Shyug Lee*, Chih-Chou Chiu, (May 2009). Financial time series forecasting using independent component analysis and support vector regression, Decision Support Systems, 47(2), pp. 115-125  (SCI)
  25. Chi-Jie Lu and Du-Ming Tsai,* (July 2008). Independent component analysis-based defect detection in patterned liquid crystal display surfaces, Image and Vision Computing, 26(7), pp. 955-970. (SCI)
  26. Chi-Jie Lu, Chung-Min Wu, Ching-Jui Keng, Chih-Chou Chiu*, (February 2008). Integrated application of SPC/EPC/ICA and neural networks, International Journal of Production Research, 46(4), pp. 873-893. (SCI)
  27. Du-Ming Tsai*, Ping-Chieh Lin and Chi-Jie Lu, (2006). An independent component analysis based filter design for defect detection in low-contrast surface images, Pattern Recognition, 39(9), pp. 1679-1694. (SCI)
  28. Tian-Shyug Lee, Chih-Chou Chiu, Y. C. Chou and Chi-Jie Lu, (2006). Mining the customer credit using classification and regression tree and multivariate adaptive regression splines, Computational Statistics & Data Analysis, 50(4), pp. 1113-1130. (SCI)
  29. Chi-Jie Lu and Du-Ming Tsai*, (2005). Automatic defect inspection for LCDs using singular value decomposition, International Journal of Advanced Manufacturing Technology, 25(1-2), pp.53-61. (SCI)
  30. Chi-Jie Lu and Du-Ming Tsai*, (2004). Defect inspection of patterned TFT-LCDs using a fast sub-image based SVD, International Journal of Production Research, 42(20), pp. 4331-4351. (SCI)
  31. Tian-Shyug Lee*, Chih-Chou Chiu, Chi-Jie Lu and I. Fei. Chen, (2002). Credit scoring using hybrid neural discriminant technique, Expert Systems with Applications, 23(3), pp. 245-254. (SCI)