Recent Publications (by Topics)

(By topics: WSS, GrC, EC, GT, WM, NN, FS, CF, SVM, RS)

Web-based Support Systems

  1. J. T. Yao, An Introduction to Web-based Support Systems, Journal of Intelligent Systems, Vol. 17, No. 1-3, pp267-281, 2008.
  2. J.T. Yao, J.P. Herbert, Web-based Support Systems with Rough Set Analysis, Proceedings of International Conference on Rough Sets and Emerging Intelligent System Paradigms (RSEISP'07), June 28-30, 2007, Warsaw, Poland, LNAI 4585, pp 360-370.
  3. J. T. Yao, D. W. Kim, J. P. Herbert, Supporting Online Learning with Games, Proceedings of SPIE Vol. 6570, Data Mining, Intrusion Detection, Information Assurance, and Data Networks Security 2007, April 9-13, 2006, Orlando, Florida, USA, edited by Belur V. Dasarathy, (SPIE, Bellingham, WA, 2007), 65700G-(1-11).
  4. J.T. Yao, Supporting Research with We blogs: A Study on Web-Based Research Support Systems, The 3rd International Workshop on Web-Based Support Systems, Dec 18, 2006, Hong Kong, WI-IAT 2006 Work shops Proceedings, pp161-164.
  5. J. T. Yao, W. N. Liu, L. Fan, Y. Y. Yao and X. D. Yang, Supporting Sustainable Communities with Web-based Information Systems, Journal of Environmental Informatics, Vol. 7, No. 2, 2006, pp84-94.
  6. J. T. Yao, W.N. Liu, Web-based Dynamic Delphi: a New Survey Instrument, Proceedings of SPIE No 6241, Data Mining, Intrusion Detection, Information Assur ance, And Data Networks Security 2006, April 17-18, 2006, Orlando, Florida, USA, edited by Belur V. Dasarathy, (SPIE, Bellingham, WA, 2006), pp.169-179.
  7. J.T. Yao, On Web-based Support Systems, Proceedings of the 2nd Indian International Conference on Artificial Intelligence, Pune, India, December 20-22, 2005, pp2589-2600.
  8. J.T. Yao, Design of Web-based Support Systems, 8th International Conference on Computer Science and Informatics (CSI), Salt Lake City, USA July 21-26, 2005, pp349-352.
  9. Y.Y. Yao, J.T. Yao, C.J. Butz, P. Lingras and D. Jutla, “ Web-based Support Systems: a Report of the WIC Canada Research Centre”, Proceedings of the IEEE/WIC/ACM International Conference on Web Intelligence, Beijing, China, Sept 20-24, 2004, pp787-788.
  10. J. T. Yao, V.V. Raghavan, G.Y. Wang, Proceedings of the Second Workshop Web-based Support Systems (WSS'04), Beijing, China, Sept 20, 2004.(ISBN 0-9734039-6-9)
  11. W.N. Liu, J.T. Yao, L. Fan, Y.Y. Yao, X.D. Yang, “ Web-based Support Systems for Sustainable Communities”, Proceedings of the Second Workshop Web-based S upport Systems (WSS'04), Beijing, China, Sept 20, 2004, pp102-110.
  12. Y.L. Zhao, J.T. Yao, Y.Y. Yao, “Data Mining Support Systems”, Proceedings of SPIE Vol. #5433, Data Mining and Knowledge Discovery: Theory, Tools, and Technology VI, 12-13 April 2004, Orlando, USA, edited by Belur V. Dasarathy, (SPIE, Bellingham, WA, 2004), pp218-227.
  13. J. T. Yao, Y.Y. Yao, “Web-based Information Retrieval Support Systems: building research tools for scientists in the new information age ”, Proceedings of the IEEE/WIC International Conference on Web Intelligence (WI'03), Halifax, Canada, Oct 13-17, 2003, pp570-573.
  14. H. Tang, Yu Wu, J.T. Yao, G.Y. Wang, Y. Y. Yao, “CUPTRSS: A Web-based Research Support System”, Proceedings of the Workshop on Applications, Products and Services of Web-based Support Systems (WSS03), Halifax, Canada, Oct 13, 2003, pp21-28.
  15. J. T. Yao, Y.Y. Yao, “Web-based Support Systems”, Proceedings of the Workshop on Applications, Products and Services of Web-based Support Systems (WSS'03), Halifax, Canada, Oct 13, 2003, pp1-5.
  16. J. T. Yao, P. Lingras, Proceedings of the Workshop on Applications, Products and Services of Web-based Support Systems (WSS'03), Halifax, Canada, Oct 13, 2003. (ISBN 0-9734039-1-8)

Granular Computing

  1. J. T. Yao A Ten-Year Review of Granular Computing, Proceedings of 2007 IEEE International Conference on Granular Computing, Sillicon Valley, CA, USA, Nov 2-4, 2007, pp734-739.
  2. J.T. Yao, W.N. Liu, The STP Model for Solving Imprecise Problems, Proceedings of IEEE Conference on Granular Computing (GrC'06), Atlanta, USA, May 10-12, 2006, pp.683-687
  3. Y. Zhao, Y.Y. Yao, and J.T. Yao, Level construction of decision trees for classification, International Journal of Software Engineering and Knowledge Engineering (IJSEKE), Vol. 16 No. 1, pp103-126, Feb 2006.
  4. J.T. Yao, Y.Y. Yao, and Y. Zhao, “Foundations of Classification”, in T.Y. Lin, S. Ohsuga, C.J. Liau, and X. Hu (Eds), Foundations and Novel Approaches in Data Mining, Springer-Verlag, 2006, pp75-97.
  5. J. T. Yao, Information Granulation and Granular Relationships, Proceedings of the IEEE Conference on Granular Computing, Beijing, China, July 25-27, 2005, pp326-329.
  6. Y.Y. Yao, Y. Zhao, J.T. Yao, “Level Construction of Decision Trees in a Partition-based Framework for Classification”, Proceedings of the 16th International Conference on Software Engineering and Knowledge Engineering (SEKE'04), Banff, Alberta, Canada, June 20-24, 2004, pp199-204.
  7. J. T. Yao, and Y. Y. Yao, “Information Granulation for Web based Information Retrieval Support Systems”, Proceedings of SPIE Vol. 5098 Data Mining and Knowledge Discovery: Theory, Tools, and Technology V, 21-25 April 2003, Orlando, Florida, USA, edited by Belur V. Dasarathy, (SPIE, Bellingham, WA, 2003) pp138-146.
  8. J. T. Yao and Y. Y. Yao, “ A granular computing approach to machine learning”, Proceedings of the 1st International Conference on Fuzzy Systems and Knowledge Discovery (FSKD'02), Singapore, November 18-22, 2002, pp732-736.
  9. J. T. Yao and Y. Y. Yao, “ Induction of classification rules by granular computing”, Rough Sets and Current Trends in Computing, Proceedings of the Third International Conference (RSCTC 2002), Lecture Notes in Artificial Intelligence 2475, Malvern, PA, USA, October 14-16, 2002, Alpigini, J.J., Peters, J.F., Skowron, A. and Zhong, N. (Eds.), Springer, Berlin, pp331-338.
  10. Y. Y. Yao and J. T. Yao, “Granular Computing as a Basis for Consistent Classification Problems”, Proceedings of PAKDD 2002 Workshop on Toward the Foundation of Data Mining, Taipei, Taiwan, May 6-8, 2002. Communications of Institute of Information and Computing Machinery, Vol. 5, No.2, pp.101-106, 2002.

Electronic Commerce

  1. K.L. Wang, Y. Wang, and J.T. Yao, A Comparative Study on Marketing Mix Models for Digital Products, Proceedings of the First International Workshop on Internet and Network Economics (WINE'05), Hong Kong, China, December 15-17, 2005, LNCS 3828, pp660-669.
  2. J.T. Yao, “Ecommerce adoption of insurance companies in New Zealand”, Journal of Electronic Commerce Research, Vol. 5, No. 1, pp54-61, 2004.

Neural Networks

  1. J.S. Lei, J.T. Yao, Q.F. Zhang, Proceedings of the 3rd International Conference on Natural Computation (ICNC'07), Haikou, China, Aug 24 - 27, 2007, IEEE Press. (ISBN: 0-7695-2875-9)
  2. J. T. Yao, “ Knowledge extracted from trained neural networks: what's next? ”, Medium Econometrisch Toepassingen (Medium for Econometric Applications), Vol. 13, Issue 4, pp26-31, 2005, (Republish from SPIE 5812)
  3. J. T. Yao, C. L. Tan, “A Case Study on Using Neural Networks to Perform Technical Forecasting of Forex”, Neurocomputing, Vol. 34, No. 1-4, pp79-98, 2000.
  4. J. T. Yao, C. L. Tan, Y. L. Li, “Option Prices Forecasting Using Neural Network”, Omega: The International Journal of Management Science, Vol. 28, No. 4, 2000, pp455-466.
  5. J. T. Yao, C. L. Tan and H.-L. Poh, “Neural Networks for Technical Analysis: a Study on KLCI”, International Journal of Theoretical and Applied Finance, Vol. 2, No.2, 1999, pp221-241.
  6. J. T. Yao, N. Teng, H.-L. Poh, C. L. Tan, “Forecasting and Analysis of Marketing Data Using Neural Networks”, Journal of Information Science and Engineering, Vol. 14, No.4, 1998, pp523-545.
  7. H.-L. Poh, J.T. Yao, T.Jasic, “Neural Networks for the Analysis and Forecasting of Advertising and Promotion Impact”, International Journal of Intelligent Systems in Accounting, Finance and Management, Vol. 7, No. 4, 1998, pp253-268.
  8. J. T. Yao, Y. L. Li, C. L. Tan, “Forecasting the Exchange Rates of CHF vs USD Using Neural networks” , Journal of Computational Intelligence in Finance, Vol.5, No.2., 1997, pp7-13.
  9. J. Herbert, J.T. Yao, A Game-Theoretic Approach to Competitive Learning in Self-Organizing Maps, First International Conference on Natural Computation (ICNC'05), Changsha, China, August 27 - 29, LNCS 3610, 2005, pp129-138.
  10. J. T. Yao, “ Knowledge extracted from trained neural networks: what's next? ”, Proceedings of SPIE Vol. 5812, Data Mining, Intrusion Detection, Information Assurance, And Data Networks Security, 28 March - 1 April 2005, Orlando, Florida, USA, edited by Belur V. Dasarathy, (SPIE, Bellingham, WA, 2005), pp151-157.
  11. C.-W. Tao, H.T. Nguyen, J.T. Yao, and V. Kreinovich, “Sensitivity Analysis of Neural Control”, The Fourth International Conference on Intelligent Technologies (InTech'03), ChiangMai, Thailand , December 17-19, 2003. pp478-482.
  12. J. T. Yao, “Sensitivity Analysis for Data Mining”, Proceedings of The 22nd International Conference of NAFIPS (the North American Fuzzy Information Processing Society), July 24-26, Chicago, USA, 2003, pp272-277.
  13. J. T. Yao, “ Knowledge Based Descriptive Neural Networks”, Proceedings of the 9th International Conference on Rough Sets, Fuzzy Sets, Data Mining and Granular Computing, May 26-29, 2003, Chongqing, China, Lecture Notes in Computer Science 2639, pp430-436.
  14. J. T. Yao, “Towards a Better Forecasting Model for Economic Indices”, Proceedings of The Sixth International Conference on Computer Science and Informatics, March 8 - 14, 2002, Durham, NC, USA, pp299-303.
  15. J. T. Yao, C. L. Tan, “Guidelines for Financial Forecasting with Neural Networks”, Proceedings of International Conference on Neural Information Processing, Shanghai, China, 14-18 November, 2001, pp757-761
  16. J. T. Yao, C. L. Tan, “A Study on Training Criteria for Financial Time Series Forecasting”, Proceedings of International Conference on Neural Information Processing, Shanghai, China, 14-18 November, 2001, pp772-777
  17. J. T. Yao, C. L. Tan, “Time dependent Directional Profit Model for Financial Time Series Forecasting”, Proceedings of The IEEE-INNS-ENNS International Joint Conference on Neural Networks, Como, Italy, 24-27 July 2000, Volume V, pp291-296.
  18. J. T. Yao, H.-L. Poh, T. Jasic, “Foreign Exchange Rates Forecasting with Neural Networks”, International Conference on Neural Information Processing(ICONIP'96), Hong Kong, Sept. 24-27, 1996, pp754-759.
  19. J. T. Yao, H.-L. Poh, “Forecasting The KLSE Index Using Neural Networks”, Proceedings of the 1995 IEEE International Conference on Neural Networks(ICNN'95), Perth, Western Australia, Nov 1995, Volume 2, pp1012-1017
  20. J. T. Yao, H.-L. Poh, “Equity Forecasting: a Case Study on the KLSE Index”, The 3rd International Conference On Neural Networks in the Capital Markets(NNCM'95), Oct 1995, London, England, pp341-353
  21. J.T. Yao, C.L. Tan, “Neural Networks for Technical Forecasting of Foreign Exchange Rates”, in Smith, K. A. and Gupta, J. N. D (eds.), Neural Networks in Business: Techniques and Applications, Idea Group Publishing, Hershey, Pennsylvania, pp191-207, 2002.

Rough Sets

  1. J. P. Herbert, J.T. Yao, Game-Theoretic Risk Analysis in Decision-Theoretic Rough Sets, Proceedings of the 3rd International Conference on Rough Sets and Knowledge Technology (RSKT'08), May 17-19, 2008, Chengdu, China, LNAI 5009, pp132-139.
  2. J. P. Herbert, J.T. Yao, Rough Set Model Selection for Practical Decision Making, Proceedings of the 4th International Conference on Fuzzy Systems and Knowledge Discovery (FSKD'07), Aug 24-27, 2007, Hainan, China, III, pp203-207.
  3. J.T. Yao, J.P. Herbert, Web-based Support Systems with Rough Set Analysis, Proceedings of International Conference on Rough Sets and Emerging Intelligent System Paradigms (RSEISP'07), June 28-30, 2007, Warsaw, Poland, LNAI 4585, pp 360-370.
  4. J.T. Yao, P. Lingras,W.-Z. Wu, M. Szczuka, N. Cercone, and D. Slezak, Proceedings of the 2nd International Conference on Rough Sets and Know ledge Technology (RSKT'07), Toronto, Canada, May 14-16, 2007, LNAI 4481, Spr inger. (ISBN 978-3-540-72457-5)
  5. D. Slezak, J.T. Yao, J. Peters, W. Ziarko, and X. Hu, Proceedings of the 10th International Conference on Rough Sets, Fuzzy Sets, Data Mining and Granular Computing (RSFDGrC'05), II, Regina, Canada, Aug 31- Sept 3, 2005, LNAI 3642, Springer.
  6. J.T. Yao and M. Zhang, Feature Selection with Adjustable Criteria, Proceedings of the 9th International Conference on Rough Sets, Fuzzy Sets, Data Mining and Granular Computing (RSFDGrC'05), I, Regina, Canada, Aug 31 - Sept 3, 2005, LNAI 3641 pp.204-213.
  7. J. Herbert, J.T. Yao, Time-Series Data Analysis with Rough Sets, 4th International Conference on Computational Intelligence in Economics and Finance (CIEF), Salt Lake City, USA July 21-26, 2005, pp908-911.
  8. M. Zhang, J.T. Yao, “A Rough Sets Based Approach to Feature Selection”, Proceedings of The 23rd International Conference of NAFIPS, Banff, Canada, June 27-30, 2004, pp434-439.
  9. W.-N. Liu, J.T. Yao, Y.Y.Yao, “Rough Approximations under Lever Fuzzy Sets”, Fourth International Conference on Rough Sets and Current Trends in Computing (RSCTC'04), Uppsala, Sweden, June 1-5, 2004, LNAI 3066, pp78-83.

Fuzzy Sets

  1. W.N. Liu, J.T. Yao and Y.Y. Yao, Constructive Fuzzy Sets with Similarity Semantics, Proceedings of the 24th International Conference of NAFIPS, Ann Arbor, USA, June 22-25, 2005, pp591-596.
  2. J. T. Yao, S.L. Zhao, L.V. Saxton, “ A study on fuzzy intrusion detection ”, Proceedings of SPIE Vol. 5812, Data Mining, Intrusion Detection, Information Assurance, And Data Networks Security, 28 March - 1 April 2005, Orlando, Florida, USA, edited by Belur V. Dasarathy, (SPIE, Bellingham, WA, 2005), pp23-30.
  3. W.-N. Liu, J.T. Yao, Y.Y.Yao, “Rough Approximations under Lever Fuzzy Sets”, Fourth International Conference on Rough Sets and Current Trends in Computing (RSCTC'04), Uppsala, Sweden, June 1-5, 2004, LNAI 3066, pp78-83.

Support Vector Machine

  1. J.T. Yao, S.L. Zhao, L. Fan, An Enhanced Support Vector Machine Model for Intrusion Detection, Proceedings of the International Conference on Rough Sets and Knowledge Technology (RSKT), Chongqing, China, July 24-26, 2006, LNAI 4062, pp53 8-543.
  2. J. T. Yao, S.L. Zhao, L.V. Saxton, “ A study on fuzzy intrusion detection ”, Proceedings of SPIE Vol. 5812, Data Mining, Intrusion Detection, Information Assurance, And Data Networks Security, 28 March - 1 April 2005, Orlando, Florida, USA, edited by Belur V. Dasarathy, (SPIE, Bellingham, WA, 2005), pp23-30.

Game Theory

  1. J. P. Herbert, J.T. Yao, Game-Theoretic Risk Analysis in Decision-Theoretic Rough Sets, Proceedings of the 3rd International Conference on Rough Sets and Knowledge Technology (RSKT'08), May 17-19, 2008, Chengdu, China, LNAI 5009, pp132-139.
  2. J. Herbert, J.T. Yao, GTSOM: Game Theoretic Self-Organizing Maps, K. Chen and L.P. Wang (eds.), Trends in Neural Computation, Springer-Verlag, 2007, pp199-224.
  3. J. Herbert, J.T. Yao, A Game-Theoretic Approach to Competitive Learning in Self-Organizing Maps, First International Conference on Natural Computation (ICNC'05), Changsha, China, August 27 - 29, LNCS 3610, 2005, pp129-138.

Web Mining

  1. J. P. Herbert, J.T. Yao, Growing Hierarchical Self-Organizing Maps for Web Mining, Profeedings of 2007 IEEE/WIC/ACM International Conference on Web Intelligence, Sillicon Valley, CA, USA, Nov 2-5, 2007, pp299-302.
  2. J. T. Yao and M. Zhang, “ A Fast Tree Pattern Matching Algorithm for XML Query ”, Proceedings of the IEEE/WIC/ACM International Conference on Web Intelligence, Beijing, China, Sept 20-24, 2004, pp235-241.
  3. M. Zhang, J.T. Yao, “XML Algebra for Data Mining”, Proceedings of SPIE Vol. #5433, Data Mining and Knowledge Discovery: Theory, Tools, and Technology VI, 12-13 April 2004, Orlando, USA, edited by Belur V. Dasarathy, (SPIE, Bellingham, WA, 2004), pp209-217.

Computational Finance

  1. J. T. Yao, C. L. Tan, “A Case Study on Using Neural Networks to Perform Technical Forecasting of Forex”, Neurocomputing, Vol. 34, No. 1-4, pp79-98, 2000.
  2. J. T. Yao, C. L. Tan, Y. L. Li, “Option Prices Forecasting Using Neural Network”, Omega: The International Journal of Management Science, Vol. 28, No. 4, 2000, pp455-466.
  3. J. T. Yao, C. L. Tan and H.-L. Poh, “Neural Networks for Technical Analysis: a Study on KLCI”, International Journal of Theoretical and Applied Finance, Vol. 2, No.2, 1999, pp221-241.
  4. J. T. Yao, N. Teng, H.-L. Poh, C. L. Tan, “Forecasting and Analysis of Marketing Data Using Neural Networks”, Journal of Information Science and Engineering, Vol. 14, No.4, 1998, pp523-545.
  5. H.-L. Poh, J.T. Yao, T.Jasic, “Neural Networks for the Analysis and Forecasting of Advertising and Promotion Impact”, International Journal of Intelligent Systems in Accounting, Finance and Management, Vol. 7, No. 4, 1998, pp253-268.
  6. J. T. Yao, Y. L. Li, C. L. Tan, “Forecasting the Exchange Rates of CHF vs USD Using Neural networks” , Journal of Computational Intelligence in Finance, Vol.5, No.2., 1997, pp7-13.
  7. J. Herbert, J.T. Yao, Time-Series Data Analysis with Rough Sets, 4th International Conference on Computational Intelligence in Economics and Finance (CIEF), Salt Lake City, USA July 21-26, 2005, pp908-911.
  8. J. T. Yao, “Towards a Better Forecasting Model for Economic Indices”, Proceedings of The Sixth International Conference on Computer Science and Informatics, March 8 - 14, 2002, Durham, NC, USA, pp299-303.
  9. J. T. Yao, C. L. Tan, “Guidelines for Financial Forecasting with Neural Networks”, Proceedings of International Conference on Neural Information Processing, Shanghai, China, 14-18 November, 2001, pp757-761
  10. J. T. Yao, C. L. Tan, “A Study on Training Criteria for Financial Time Series Forecasting”, Proceedings of International Conference on Neural Information Processing, Shanghai, China, 14-18 November, 2001, pp772-777
  11. J. T. Yao, C. L. Tan, “Time dependent Directional Profit Model for Financial Time Series Forecasting”, Proceedings of The IEEE-INNS-ENNS International Joint Conference on Neural Networks, Como, Italy, 24-27 July 2000, Volume V, pp291-296.
  12. J. T. Yao, H.-L. Poh, T. Jasic, “Foreign Exchange Rates Forecasting with Neural Networks”, ICONIP'96 (International Conference on Neural Information Processing), Hong Kong, Sept. 24-27, 1996, pp754-759.
  13. J. T. Yao, H.-L. Poh, “Forecasting The KLSE Index Using Neural Networks”, ICNN'95(1995 IEEE International Conference on Neural Networks), Perth, Western Australia, Nov 1995, Volume 2, pp1012-1017
  14. J. T. Yao, H.-L. Poh, “Equity Forecasting: a Case Study on the KLSE Index”, NNCM'95(3rd International Conference On Neural Networks in the Capital Markets), Oct 1995, London, England, pp341-353
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    (Document last updated: Wednesday, 09-Apr-2008 20:16:31 CST )









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