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Curriculum Vitae

Chun-Hao Chen (陳俊豪)

Associate Professor

Dept. of Computer Science and Information Engineering (CSIE)

Tamkang University (TKU), New Taipei City, Taiwan

Office: E718, Email: chchen6814@gmail.com, chchen@mail.tku.edu.tw

Tel: 02 - 2621 - 5656 # 2716, Fax:02 - 2620 - 9749

Biography
                                                                                                                                                                                                                                                                     

Chun-Hao Chen is an Associate Professor at Department of Computer Science and Information Engineering at Tamkang University, Taiwan. Dr. Chen received his Ph.D. degree with major in computer science and information engineering from National Cheng Kung University, Taiwan, in 2008. After that, he joined Department of Computer Science and Information Engineering of National University of Kaohsiung at Kaohsiung City, Taiwan as a postdoctoral fellow during 2009. During February 2010 to August 2013, he served as an assistant professor of Department of Computer Science and Information Engineering at Tankang University. He has a wide variety of research interests covering data mining, database systems, time series, machine learning, evolutionary algorithms, and fuzzy theory. He has published more than 75 research papers in referred journals and international conferences. He has served as reviewer of a number of journals including IEEE Transactions on Knowledge and Data Engineering, IEEE Transactions on Fuzzy Systems, and Knowledge-Based Systems. He has also served as program committee members for a number of premier international conferences related to data mining and intelligent computing, including PAKDD, IEEE SSCI, Fuzz-IEEE, IEEE GrC, etc. He is a member of IEEE.

Professional Experiences
                                                                                                                                                                                                                                                                     

2013.08 - Now Associate Professor Dept. of CSIE, TKU, Taiwan.
2010.02 - 2013.07 Assistant Professor Dept. of CSIE, TKU, Taiwan.
2009.05 - 2009.12 Postdoctoral Fellow Dept. of CSIE, National University of Kaohsiung, Taiwan.

Research Interests
                                                                                                                                                                                                                                                                     

Data Mining, Fuzzy Theory, Evolutionary Algorithms, Database Systems, Time Series, Artificial Intelligence, Machine Learning.

Publications
                                                                                                                                                                                                                                                                     

25 SCI journal papers, 3 EI journal papers, and 45 international conference papers are published, including 1 paper for IEEE Trans. Fuzzy Syst. (Ranking: 2/121), 1 paper for IEEE Trans. Evol. Comput. (Ranking: 1/102), 2 papers for Knowledge-Based Syst. (Ranking: 15/121), and 3 papers for Appl. Soft. Comput. (Ranking: 14/102). [link]

Honors
                                                                                                                                                                                                                                                                     

2015 科技部補助大專校院獎勵特殊優秀人才。
2015 Tamkang University Outstanding Research Award (淡江大學傑出研究教師獎)
2014 科技部補助大專校院獎勵特殊優秀人才。
2013 Best Application Paper Award, The IEEE International Conference on Granular Computing.
2013 Tamkang University Distinguished Teaching Award (淡江大學教學優良教師).
2013 國科會補助大專校院獎勵特殊優秀人才。
2008 Ph.D. Dissertation Award, Taiwan Association for Artificial Intelligence (中華民國人工智慧學會博士論文獎).
2008 Best Paper Award, The 3th International Symposium on Healthcare Information Management (第3屆國際健康資訊管理研討會, 最佳論文獎).
2005 Best Paper Award, The 10th Conference on Technologies and Applications of Artificial Intelligence, (第10屆中華民國人工智慧研討會, 最佳論文獎).

Awards
                                                                                                                                                                                                                                                                     

2015 指導碩士生李昱，獲『104年台灣社會網絡學會碩士論文獎』。
2014 指導學生林則言、胡家睿、許瑞育，獲第三屆全國大專ITSA盃程式設計桂冠挑戰大賽』闖關組佳作。(103年6月)。
2013 指導碩士生謝晶宇論文發表，獲2013 IEEE GrC最佳應用論文獎。
2013 指導碩士生何吉軒，獲『102年度中華民國模糊學會碩士論文獎』-佳作獎。
2013 指導學生鄭傑文、林聖翎、林則言，獲『第二屆全國大專ITSA盃程式設計桂冠挑戰大賽』挑戰組佳作。
2012 指導學生鄭傑文、林聖翎、林則言，獲『101年度第2次全國大專ITSA盃程式設計桂冠挑戰大賽』挑戰組佳作。
2012 指導碩士生李艾芳，獲『101年度中華民國模糊學會碩士論文獎』管理類-特優獎。
2012 指導大學生陳品安獲國科會補助大專生專題計畫，計畫名稱：『以領域衍伸為基礎的投資模型建置』，計畫編號: 101-2815-C-032 -013-E。

Teachings
                                                                                                                                                                                                                                                                     

Undergraduate Courses 計算機程式語言(C語言)、高等程式語言(物件導向程式設計、Java語言)、資料庫、資訊概論、演化計算、網頁互動程式
Graduate Courses 模糊理論、資料探勘、人工智慧、網路資料探勘

English Master Programm

(全英語碩士班)

Soft Computing、Data Mining

Grants
                                                                                                                                                                                                                                                                     

2015.08 - 2016.07 群組遺傳為基礎的有效率與效能的高維度模糊多樣群組股票投資組合探勘技術(MOST 104-2221-E-032-040) (主持人).
2015.01 - 2017.12 計算智慧及決策支援(台法雙邊國際合作研究計畫，主持人: 李健興教授，共同主持人: 顏士淨教授、林文楊教授、陳俊豪副教授) (MOST 104-2911-I-024-501, 105-2911-I-024-50 1, 106-2911-I-024-501).
2014.08 - 2015.07 Map-reduce為基礎的穩定群組演化式股票投資組合最佳化技術(MOST 103-2221-E-032 -029) (主持人).
2013.04 - 2016.03 在大型癌症醫學資料庫中之癌症子型模糊分群研究 (台印雙邊國際合作研究計畫，主持人: 洪宗貝教授，參與人員: 王學亮教授、林文楊教授、曾新穆教授、李健興教授、林威成副教授、陳俊豪副教授)  (NSC-2923-E-390-001- MY3).
2013.08 - 2014.07 利用大資料建置可行動穩定的股票投資組合選擇模型(NSC 102-2221-E-032- 056) (主持人).
2012.03 - 2013.02 102年度教育部資訊軟體人才培育推廣計畫(共同主持人), A類.
2012.08- 2013.07 可行動知識發掘為基礎的模糊資料探勘技術之研究(NSC 101-2221-E-032-05 7) (主持人).
2011.08 - 2012.07 領域衍生式時間序列探勘技術之研究(NSC 100-2221-E-032 -065) (主持人).
2011.03 - 2012.02 101年度教育部資訊軟體人才培育推廣計畫(共同主持人), A類.
2010.08 - 2011.07 多階層遺傳模糊探勘技術之研究(NSC 99-2218-E-032 -005) (主持人).

AcAdEmic Activities
                                                                                                                                                                                                                                                                     

Special Session Organizer GrC2013, GrC2014, TAAI2015, ASEBigData2015
Journal Guest Editor Soft Computing (Soft Computing for Big Data and Social Informatics)
Journal Reviewer IEEE Transaction on Knowledge and Data Engineering, IEEE Transaction on Fuzzy Systems, Knowledge-Based Systems, Applied Soft Computing, Information Science, Soft Computing,Journal of Information Science and Engineering, etc.
Conference Committee PAKDD2016, PAKDD2015, TAAI 2015, ASE BIGDATA 2015, NBiS 2015

Invitated Talks
                                                                                                                                                                                                                                                                     

2015.05 Optimization Techniques and Their Application on Financial Data – Example of Stock Portfolio, 義守大學資訊管理系。
2015.03 Fuzzy coherent data mining techniques, Department of Mathematics, Pondicherry University, Pondicherry, India.
2015.03 Genetic-fuzzy mining with taxonomy, International Conference on Computing and intelligence systems (ICCIS 2015), Chennai, India.
2015.03 Fuzzy data mining techniques, The TKU-UoA Bilateral Workshop Program, Taipei, Taiwan.
2014.03 Genetic-fuzzy mining techniques, The 2014 India-Taiwan Cooperation Workshop on Intelligent Data Analysis Techniques for Medical Databases, Pondicherry, India.
2014.03 Introduction to association rule, Periyar Arts College, Cuddalore, India.

Publications
                                                                                                                                                                                                                                                                     

Journal Papers

1.        C. H. Chen,  T. P. Hong, Y. C. Lee and Vincent S. Tseng, "Finding active membership functions for genetic-fuzzy data mining," accepted and to appear in International Journal of Information Technology & Decision Making, 2015. (SCI)

2.        C. H. Chen, A. F. Li and Y. C. Lee, “Actionable high-coherent-utility fuzzy itemset mining,” Soft Computing, Vol. 18, No. 12, pp 2413-2424, 2014. (SCI)

3.        T. P. Hong, C. H. Chen and F. S. Lin, “Using the group genetic algorithm to improve performance of attribute clustering,” accepted and to appear in Applied Soft Computing, 2014. (SCI)

4.        C. H. Chen, J. S. He, T. P. Hong, “MOGA-based fuzzy data mining with taxonomy,” Knowledge-Based Systems, Vol. 54, pp. 53–65, 2013. (SCI)

5.        C. H. Chen, G. C. Lan, T. P. Hong and Y. K. Lin, “Mining high coherent association rules with consideration of support measure,” Expert Systems with Applications, Vol. 40, No. 16, pp. 6531–6537, 2013. (SCI)

6.        C. H. Chen, R. D. Chiang, T. F. Wu and H. C. Chu, “A combined mining-based framework for predicting telecommunications customer payment behaviors,” Expert Systems with Applications, Vol. 40, No. 16, pp. 6561–6569, 2013. (SCI)

7.        C. H. Chen, R. D. Chiang, Y. H. Wang and H. C. Chu, “Prediction of members’ repurchase rates with time weight function,” Soft Computing, Vol. 17, No 9, pp 1711-1723, 2013. (SCI)

8.        C. H. Chen, Vincent S. Tseng, H. H. Yu and T. P. Hong, “Time series pattern discovery by a PIP-based evolutionary approach,” Soft Computing, Vol. 17, No 9, pp 1699-1710, 2013.

9.        C. H. Chen, A. F. Li and Y. C. Lee, “A fuzzy coherent rule mining algorithm,” Applied Soft Computing, Vol.13, pp. 3422–3428,  2013. (SCI)

10.    C. H. Chen, R. D. Chiang, C. M. Lee and C. Y. Chen "Improving the performance of association classifiers by rule prioritization," Knowledge-Based Systems, Vol. 36, pp. 59–67, 2012. (SCI)

11.    C. H. Chen, R. D. Chiang and H. C. Chu, “Combing customer profiles for members’ return visit rate predictions,” International Journal of Innovative Computing, Information and Control, Vol. 9, No. 2, pp. 503–523, 2013. (EI)

12.    C. H. Chen, R. D. Chiang and C. Y. Chen, “Improving the performance of association classifiers by class prioritization,” Journal of Computational Information Systems, Vol.8, pp. 1697-1712, 2012. (EI)

13.    C. H. Chen, T. P. Hong and Y. C. Lee, “Genetic-fuzzy mining with taxonomy”, International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems, Vol. 20, No. 2, pp. 187−205, 2012. (SCI)

14.    C. H. Chen, T. P. Hong, Vincent S. Tseng and L. C. Chen, “Multi-objective genetic-fuzzy data mining,” International Journal of Innovative Computing, Information and Control, Vol. 8, No. 10(A), 2012. (SCI)

15.    C. H. Chen, T. P. Hong, Vincent S. Tseng, “Finding Pareto-front membership Functions in Fuzzy Data Mining,” International Journal of Computational Intelligence Systems, Vol. 5, No. 2, pp. 343-354, 2012. (SCI)

16.    C. H. Chen, T. P. Hong and Vincent S. Tseng, "Fuzzy data mining for time-series data," Applied Soft Computing, Vol. 12, No. 1, pp. 536–542, 2012. (SCI)

17.    H. H. Yu, C. H. Chen and Vincent S. Tseng, “Mining emerging patterns from time series data with time gap constraint,” International Journal of Innovative Computing, Information and Control, Vol. 7, No. 9, pp 1-14, 2011. (SCI)

18.    C. H. Chen, T. P. Hong, Vincent S. Tseng, “Genetic-fuzzy mining with multiple minimum supports based on fuzzy clustering,” Soft Computing, Vol. 15, No 12, pp 2319-2333, 2011. (SCI)

19.    T. P. Hong, W. T. Lin, C. H. Chen and C. S. Ouyang, "Evolutionarily adjusting membership functions in Takagi-Sugeno fuzzy systems", International Journal of Intelligent Information and Database Systems, Vol. 5, No.3, pp. 229-245, 2011. (EI)

20.    L. C. Chen, C. H. Chen, H. M. Chen and Vincent S. Tseng, "Prevention of drug dispensing errors by using hybrid data mining approach," Journal of Intelligent Information Systems, Vol. 36, No 3, pp. 305-327, 2010. (SCI)

21.    Vincent S. Tseng, C. H. Chen, P. C. Huang and T. P. Hong, “Cluster-based genetic segmentation of time series with DWT,” Pattern Recognition Letters, Vol. 30, 1190-1197, 2009. (SCI)

22.    C. H. Chen, T. P. Hong and Vincent S. Tseng, “An improved approach to find membership functions and multiple minimum supports in fuzzy data mining,” Expert Systems with Applications, Vol. 36, No. 6, pp. 10016-10024, 2009. (SCI)

23.    C. H. Chen, T. P. Hong and Vincent S. Tseng, "Mining fuzzy frequent trends from time series", Expert Systems with Applications, Vol. 36, No. 2, pp. 4147-4153, 2009. (SCI)

24.    C. H. Chen, T. P. Hong, Vincent S. Tseng and C. S. Lee, “A genetic-fuzzy mining approach for items with multiple minimum supports,” Soft Computing Vol. 13, No. 5, pp. 521-533, 2009. (SCI)

25.    C. H. Chen, Vincent S. Tseng and T. P. Hong, “Cluster-based evaluation in fuzzy-genetic data mining,” IEEE Transactions on Fuzzy Systems, Vol. 16, No. 1, pp. 249-262, 2008. (SCI)

26.    T. P. Hong, C. H. Chen, Y. C. Lee and Y. L. Wu, " Genetic-Fuzzy Data Mining with Divide-and-Conquer Strategy", IEEE Transactions on Evolutionary Computation, Vol. 12,  No. 2, pp. 252-265, 2008. (SCI)

27.    Vincent S. Tseng, Y. H. Chen, C. H. Chen and J. W. Shin, “Mining Fuzzy Association Patterns in Gene Expression Databases,” International Journal of Fuzzy Systems, Vol. 8, No. 2, pp. 1-7, 2006. (SCI)

28.    T. P. Hong, C. H. Chen, Y. L. Wu and Y. C. Lee, "A GA-based fuzzy mining approach to achieve a trade-off between number of rules and suitability of membership functions", Soft Computing, Vol. 10, No. 11, pp. 1091-1101. 2006. (SCI)

Book Chapters

1.        T. P. Hong, C. H. Chen and Vincent S. Tseng, "Genetic-fuzzy data mining techniques", Encyclopedia of Complexity and Systems Science, 2008.

2.        T. P. Hong, C. H. Chen, Y. L. Wu and Vincent S. Tseng, "Finding active membership functions in fuzzy data mining", The Foundation of Data Mining and Discovery, Springer Verlag, 2005.

Conference Papers

1.         T. P. Hong, M. T. Wu, Y. K. Li and C. H. Chen, " Mining Fuzzy Concept-drift Patterns from Quantitative Database Change," accepted and to appear in iFUZZY2015.

2.         C. H. Chen and C. C. Chen, "Map-reduced based approach for mining group stock portfolio," ASE BigData, 2015.

3.         C. H. Chen, C. Y. Lu and C. H. Yu, "SAX-based Group Stock Portfolio Mining Approach," The 18-th International Conference on Network-Based Information Systems, 2015.

4.         T. P. Hong, J. C. Chen, W. Y. Lin and C. H. Chen, "Analysis of Parallel Sub-swarm PSO with the Same Total Particle Numbers," The 18-th International Conference on Network-Based Information Systems, 2015.

5.         C. H. Chen, Y. Li, T. P. Hong, Y. K. Li and E. H. C. Lu, "A GA-based approach for mining membership functions and concept-drift patterns," accepted and to appear in The IEEE Congress on Evolutionary Computation, 2015.

6.         C. H. Chen, C. B. Lin and C. C. Chen, "Mining group stock portfolio by using grouping genetic algorithms," accepted and to appear in The IEEE Congress on Evolutionary Computation, 2015.

7.         C. H. Chen, Y. Li and T. P. Hong, "A type-2 fuzzy mining approach for linguistic association rules" accepted and to appear in The Asian Conference on Intelligent Information and Database Systems, 2015.

8.         T. P. Hong, C. H. Chen and F. S. Lin, "Cluster-based group genetic algorithm for attribute clustering," International Conference on Fuzzy Theory and Its Applications, 2014.

9.         C. H. Chen and C. Y. Hsieh, "A multi-objective genetic stock portfolio mining approach with investor's requests," The IEEE International Conference on Granular Computing, pp. 30-34, 2014.

10.     Y. C. Lee, Q. F. Qi, T. P. Hong and C. H. Chen, "A GA-based scheduling algorithm on parallel machines with heterogeneous mounted molds," The IEEE International Conference on Granular Computing, pp. 147 - 150, 2014.

11.     C. H. Chen, G. C. Lan, T. P. Hong and Y. K. Lin, " A Projection-based Approach for Mining Highly Coherent Association Rules," The Euro-China Conference on Intelligent Data Analysis and Applications, 2014.

12.     Y. Li, C. H. Chen, T. P. Hong and Y. C. Lee, "Genetic-fuzzy mining with type-2 membership functions," The IEEE International Conference on Fuzzy Systems, 2014.

13.     C. H. Chen, Yu Li, T. P. Hong, "Multi-Level Genetic-Fuzzy Mining with a Tuning Mechanism," The Asian Conference on Intelligent Information and Database Systems, 2014. also in Lecture Notes in Computer Science, Vol. 8398, pp 82-89, 2014.

14.     Eric H. C. Lu, J. H. Hong, Zeal L. T. Su and C. H. Chen, "A Fuzzy Data Mining Approach for Remote Sensing Image Recommendation," The IEEE International Conference on Granular Computing, pp. 213-218, 2013.

15.     C. H. Chen, Y. C. Hsieh and Y. C. Lee, "The YTM-based stock portfolio mining approach by genetic algorithm," The IEEE International Conference on Granular Computing, pp.38-42 ,2013. (Best Application Paper Award)

16.     C. H. Chen and J. S. He, "MOGA-based Multi-Level Genetic-Fuzzy Mining Techniques," The National Conference on Fuzzy Theory and Its Applications, 2013.

17.     C. H. Chen, J. S. He and T. P. Hong, “A two-stage multi-objective genetic-fuzzy mining algorithm,” The IEEE Symposium Series on Computational Intelligence, pp. 1-5, 2013.

18.     C. H. Chen, G. C. Lan, Y. K. Lin and T. P. Hong, “A high coherent association rule mining algorithm,” International Conference on Artificial Intelligence and Applications, pp. 1-5, 2012.

19.     C. H. Chen, J. S. He, T. P. Hong and W. T. Lin, “MOGA for multi-level fuzzy data mining,” The IEEE International Conference on Granular Computing, pp. 1-5, 2012.

20.     C. H. Chen, A. F. Li and Y. C. Lee, “A high coherent utility fuzzy itemsets mining algorithm,” accepted and to appear in The International Conference on Information Security and Intelligent Control, pp.114-117, 2012.

21.     C. H. Chen, A. F. Li, Y. C. Lee and T. P. Hong, “Mining fuzzy coherent rules from quantitative transactions without minimum support threshold,” The IEEE International Conference on Fuzzy Systems, pp. 1779-1783, 2012.

22.     T. P. Hong, F. S. Lin and C. H. Chen, “Using the Group Genetic Algorithm for Attribute Clustering,” The IEEE Congress on Evolutionary Computation, pp. 2352-2356, 2012.

23.     G. C. Lan, C. H. Chen, T. P. Hong and S. B. Lin, “Mining fuzzy temporal association rules with effective lifespans of items,” The Cross-Strait Conference on Information Science and Technology and iCube, 2011..

24.     G. C. Lan, C. H. Chen, T. P. Hong and S. B. Lin “A fuzzy approach for mining general temporal association rules in a publication database,” 11th International Conference On Hybrid Intelligent Systems, pp. 611-615, 2011.

25.     C. H. Chen, T. P. Hong and Y. C. Lee, “A multiple-level genetic-fuzzy mining algorithm”, The IEEE International Conference on Fuzzy Systems, pp. 278-282, 2011.

26.     G. C. Lan, T. P. Hong, Vincent S. Tseng and C. H. Chen, “Using pruning and filtering strategies to speed-up projection-based utility mining,” International Conference on System Science and Engineering, pp. 400-404, 2011, Macao.

27.     C. H. Chen, T. P. Hong and S. B. Lin, “Mining fuzzy temporal knowledge from quantitative transactions,” International Conference on System Science and Engineering, pp. 405-409, 2011, Macao.

28.     W. Y. Lin, Y. E. Wei and C. H. Chen, “Mining indirect associations over streaming data—A Generic Approach,” International Conference on Industrial, Engineering & Other Applications of Applied Intelligent Systems (IEA/AIE), 2011. (also in Lecture Notes in Computer Science, Vol. 6703/2011, pp. 95-104, 2011, DOI: 10.1007/978-3-642-21822-4_11)

29.     Y. C. Lee, T. P. Hong and C. H. Chen, “Mining generalized association rules with quantitative data under multiple support constraints”, International Conference on Computational Collective Intelligence, LNAI 6422, pp. 224-231, Kaohsiung, Taiwan, Nov., 2010.

30.     H. H. Yu, Vincent S. Tseng, C. H. Chen and T. P. Hong, “A PIP-based evolutionary approach for time series segmentation and pattern discovery,” The International Computer Symposium, 2010.

31.     Chun-Hao Chen, Lien-Chin Chen, Tzung-Pei Hong and Vincent S. Tseng, “A Cluster-Based Divide-and-Conquer Genetic-Fuzzy Mining Approach for Items with Multiple Minimum Supports,” The Conference on Technologies and Applications of Artificial Intelligence, 2010.

32.     Chun-Hao Chen, Wen-Yang Lin, Yi-Ching Chen and He-Yi Li, “Mining Indirect Associations over Data Streams,“ The International Conference of System Science and Engineering, 2010.

33.     C. H. Chen, T. P. Hong, Vincent S. Tseng, “A SPEA2-based genetic-fuzzy mining algorithm,” The IEEE International Conference on Fuzzy Systems, pp. 1-5, 2010.

34.     C. H. Chen, T. P. Hong, Vincent S. Tseng, “Speeding up genetic-fuzzy mining by fuzzy clustering,” The IEEE International Conference on Fuzzy Systems, pp. 1695–1699, 2009.

35.     T. P. Hong, W. T. Lin, C. H. Chen and C. S. Ouyang, “Learning membership functions in Takagi-Sugeno fuzzy systems by genetic algorithms,” First Asian Conference on Intelligent Information and Database Systems (ACIIDS 2009), 2009.

36.     C. H. Chen, T. P. Hong, Vincent S. Tseng and L. C. Chen, “A multi-objective genetic-fuzzy mining algorithm,” The IEEE International Conference on Granular Computing, 2008.

37.     曾新穆, 陳俊豪和趙茂偉, “運用資料探勘技術由腦波訊號建立喚醒偵測模型,”國際健康資訊管理研討會, 2008.

38.     Vincent S. Tseng, C. H. Chen, P. C. Huang and T. P. Hong, “A cluster-based genetic approach for segmentation of time series and pattern discovery,” The IEEE Congress on Evolutionary Computation, pp. 1949-1953, 2008.

39.     C. H. Chen, T. P. Hong and Vincent S. Tseng, “A divide-and-conquer genetic-fuzzy mining approach for items with multiple minimum supports,” The IEEE International Conference on Fuzzy Systems, pp. 1231-1235, 2008.

40.     C. H. Chen, T. P. Hong and Vincent S. Tseng, “A brief survey of genetic-fuzzy data mining techniques,” International Conference on Advanced Information Technologies, 2008.

41.     C. H. Chen, T. P. Hong, Vincent S. Tseng, “A cluster-based genetic-fuzzy mining approach for items with multiple minimum supports,” The Pacific-Asia Conference on Knowledge Discovery and Data Mining, pp. 864-869, 2008.

42.     C. H. Chen, T. P. Hong and Vincent S. Tseng, “A Modified Approach to Speed up Genetic-Fuzzy Data Mining with Divide-and-Conquer Strategy,” The IEEE Congress on Evolutionary Computation (CEC), pp. 1-6, 2007.

43.     C. H. Chen, T. P. Hong, Vincent S. Tseng and C. S. Lee, “A genetic-fuzzy mining approach for items with multiple minimum supports,” The IEEE International Conference on Fuzzy Systems, pp. 1-6, 2007.

44.     C. H. Chen, T. P. Hong and Vincent S. Tseng, “A Comparison of Different Fitness Functions for Extracting Membership Functions Used in Fuzzy Data Mining,” IEEE Symposium on Foundations of Computational Intelligence, pp. 550-555, 2007.

45.     Vincent S. Tseng, C. H. Chen, H. M. Chen, H. J. Chang and C. T. Yu, “Using data mining techniques for analysis and prevention of dispension errors,” The Workshop on Computational Intelligence on Biomedical Engineering in The IEEE Symposium on Computational Intelligence in Bioinformatics and Computational Biology, pp. 65-70, 2007.

46.     曾新穆, 陳俊豪, 陳小明, 張慧真和尤進泰, “以資料探勘技術建立藥品調劑疏失之分析與預防模型,” 第十一屆人工智慧與應用研討會, 2006.

47.     Vincent S. Tseng, C. H. Chen, C. H. Chen and T. P. Hong, “Segmentation of time series by the clustering and genetic algorithms,” The Workshop on Foundation of Data Mining and Novel Techniques in High Dimensional Structural and Unstructured Data in The Fifth IEEE International Conference on Data Mining, pp. 443-447, 2006.

48.     C. H. Chen, T. P. Hong and Vincent S. Tseng, “A less domain-dependent fuzzy mining algorithm for frequent trends,” The IEEE International Conference on Fuzzy Systems, pp. 851-856, 2006.

49.     C. H. Chen, T. P. Hong and Vincent S. Tseng, “A cluster-based fuzzy-genetic mining approach for association rules and membership functions,” The IEEE International Conference on Fuzzy Systems, pp. 1411-1416, 2006.

50.     Vincent S. Tseng, Y. H. Chen, C. H. Chen and J. W. Shin, “Mining Fuzzy Association Patterns in Gene Expression Databases,” in Proc. 10th Int’l Conf. Artificial Intelligence and Applications, Kaohsiung, Taiwan, Dec., 2005. (Excellent Paper Award)

51.     C. H. Chen, T. P. Hong and V. S. M. Tseng, "Mining linguistic trends from time series", The Workshop on Foundations of Semantic Oriented Data and Web Mining in The Fifth IEEE International Conference on Data Mining, 2005.

52.     C. H. Chen, T. P. Hong and V. S. M. Tseng, “Analyzing time-series data by fuzzy data-mining technique", The 2005 IEEE International Conference on Granular Computing, Vol. 1, pp. 112-117, 2005.

53.     T. P. Hong, C. H. Chen, Y. L. Wu and Y. C. Lee, "Mining membership functions and fuzzy association rules using genetic algorithms", The Twelfth National Conference on Fuzzy Theory and Its Applications, 2004.

54.     T. P. Hong, C. H. Chen, Y. L. Wu and S. M. Tseng, "Finding active membership functions in fuzzy data mining", The Workshop on Foundations of Data Mining in The Fourth IEEE International Conference on Data Mining, 2004.

55.     T. P. Hong, C. H. Chen, Y. L. Wu and Y. C. Lee, " 'Using Divide-and-Conquer GA Strategy in Fuzzy Data Mining ", The Ninth IEEE Symposium on Computers and Communications, 2004.

56.     T. P. Hong, C. H. Chen, Y. L. Wu and Y. C. Lee, "Mining membership functions and fuzzy association rules", 2003 The Joint Conference on AI, Fuzzy System, and Grey System, 2003.

 
Last updated date: 2015.10.20