Recent Publications (by Topics)
(By topics:
WSS,
GrC,
EC,
GT,
WM,
NN,
FS,
CF,
SVM,
RS)
- J. T. Yao,
An Introduction to Web-based Support Systems,
Journal of Intelligent Systems, Vol. 17, No. 1-3, pp267-281, 2008.
- 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.
- 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).
- 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.
- 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.
- 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.
-
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.
- 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.
-
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.
-
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)
-
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.
- 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.
-
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.
-
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.
-
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.
-
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)
- 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.
-
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
- 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.
- 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.
- J. T. Yao,
Information Granulation and Granular Relationships,
Proceedings of the IEEE Conference on Granular Computing,
Beijing, China, July 25-27, 2005, pp326-329.
- 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.
-
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.
-
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.
-
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.
-
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.
- 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.
- J.T. Yao,
“Ecommerce adoption of insurance companies in New Zealand”,
Journal of Electronic Commerce Research, Vol. 5, No. 1, pp54-61, 2004.
- 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)
- 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)
-
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.
-
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.
-
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.
-
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.
-
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.
-
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.
- 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.
- 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.
-
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.
-
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.
-
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.
-
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.
-
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
-
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
-
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.
-
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.
-
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
-
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
-
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.
- 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.
- 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.
- 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.
- 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)
- 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.
- 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.
- 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.
- 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.
- 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.
- 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.
- 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.
- 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.
- 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.
- 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.
- 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.
- 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.
- 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.
- 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.
- 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.
- 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.
-
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.
-
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.
-
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.
-
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.
-
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.
-
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.
- 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.
-
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.
-
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
-
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
-
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.
-
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.
-
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
-
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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