Citation Report from Web of Science
Results found: 48
Sum of the Times Cited: 198 (163, without self-citation)
Average Citations per Item: 4.12
h-index: 8


Citation Report from Scopus
Documents found: 48
Citations: 218 (196: without self-citation)
h-index: 8

  • My ResearchID

    I. ISI Indexed Papers and Their Known Non-self Citations

    1. Yao JT, Tan CL
      A case study on using neural networks to perform technical forecasting of forex
      NEUROCOMPUTING 34: 79-98 SEP 2000
      (cited: 61)
      1. Anastasakis L, Mort N Exchange rate forecasting using a combined parametric and nonparametric self-organising modelling approach EXPERT SYSTEMS WITH APPLICATIONS Volume: 36 Issue: 10 Pages: 12001-12011 Published: DEC 2009
      2. Ni H, Yin HJ Exchange rate prediction using hybrid neural networks and trading indicators NEUROCOMPUTING Volume: 72 Issue: 13-15 Special Issue: Sp. Iss. SI Pages: 2815-2823 Published: AUG 2009
      3. Yu L, Wang SY, Lai KK A neural-network-based nonlinear metamodeling approach to financial time series forecasting APPLIED SOFT COMPUTING 9 (2): 563-574 MAR 2009
      4. Ince H, Trafalis TB Short term forecasting with support vector machines and application to stock price prediction INTERNATIONAL JOURNAL OF GENERAL SYSTEMS Volume: 37 Issue: 6 Pages: 677-687 Published: 2008
      5. Yu L, Lai KK, Wang S Multistage RBF neural network ensemble learning for exchange rates forecasting NEUROCOMPUTING Volume: 71 Issue: 16-18 Pages: 3295-3302 Published: OCT 2008
      6. Huang SC, Wu TK Integrating GA-based time-scale feature extractions with SVMs for stock index forecasting EXPERT SYSTEMS WITH APPLICATIONS Volume: 35 Issue: 4 Pages: 2080-2088 Published: NOV 2008
      7. Onwubolu GC Design of hybrid differential evolution and group method of data handling networks for modeling and prediction INFORMATION SCIENCES Volume: 178 Issue: 18 Pages: 3616-3634 Published: SEP 15 2008
      8. Alvarez-Diaz M, Exchange rates forecasting: local or global methods? APPLIED ECONOMICS Volume: 40 Issue: 15 Pages: 1969-U4 Published: 2008
      9. Ghazali R, Hussain AJ, Liatsis P, Tawfik H The application of ridge polynomial neural network to multi-step ahead financial time series prediction NEURAL COMPUTING & APPLICATIONS Volume: 17 Issue: 3 Pages: 311-323 Published: JUN 2008
      10. Huang SC, Wu TK Combining wavelet-based feature extractions with relevance vector machines for stock index forecasting EXPERT SYSTEMS Volume: 25 Issue: 2 Pages: 133-149 Published: MAY 2008
      11. Chen CI, Chen HL, Chen SP Forecasting of foreign exchange rates of Taiwan's major trading partners by novel nonlinear Grey Bernoulli model NGBM(1,1) COMMUNICATIONS IN NONLINEAR SCIENCE AND NUMERICAL SIMULATION Volume: 13 Issue: 6 Pages: 1194-1204 Published: AUG 2008
      12. Zou HF, Xia GP, Yang FT, Wang HY An investigation and comparison of artificial neural network and time series models for Chinese food grain price forecasting NEUROCOMPUTING 70 (16-18): 2913-2923 OCT 2007
      13. Zhang YQ, Wan XH Statistical fuzzy interval neural networks for currency exchange rate time series prediction APPLIED SOFT COMPUTING 7 (4): 1149-1156 AUG 2007
      14. Ince H, Trafalis TB Kernel principal component analysis and support vector machines for stock price prediction IIE TRANSACTIONS 39 (6): 629-637 JUN 2007
      15. Shin HW, Sohn SY Application of an EWMA combining technique to the prediction of currency exchange rates IIE TRANSACTIONS 39 (6): 639-644 JUN 2007
      16. Yu L, Wang SY, Lai KK, et al. Developing and assessing an intelligent forex rolling forecasting and trading decision support system for online e-service INTERNATIONAL JOURNAL OF INTELLIGENT SYSTEMS 22 (5): 475-499 MAY 2007
      17. Zou HF, Xia GP, Yang FT, Yang H A neural network model based on the multi-stage optimization approach for short-term food price forecasting in China EXPERT SYSTEMS WITH APPLICATIONS 33 (2): 347-356 AUG 2007
      18. Oliveira ALI, Meira SRL Detecting novelties in time series through neural networks forecasting with robust confidence intervals NEUROCOMPUTING 70 (1-3): 79-92 DEC 2006
      19. Chen YH, Peng LZ, Abraham A Stock index modeling using Hierarchical Radial Basis Function Networks LECTURE NOTES IN ARTIFICIAL INTELLIGENCE 4253: 398-405 2006
      20. Huang SC, Wang HW Combining time-scale feature extractions with SVMs for stock index forecasting LECTURE NOTES IN COMPUTER SCIENCE 4234: 390-399 2006
      21. Ince H, Trafalis TB A hybrid model for exchange rate prediction DECISION SUPPORT SYSTEMS 42 (2): 1054-1062 NOV 2006
      22. Pavlidis NG, Tasoulis DK, Plagianakos VP, Vrahatis MN Computational intelligence methods for financial time series modeling INTERNATIONAL JOURNAL OF BIFURCATION AND CHAOS 16 (7): 2053-2062 JUL 2006
      23. O'Connor N, Madden MG A neural network approach to predicting stock exchange movements using external factors KNOWLEDGE-BASED SYSTEMS 19 (5): 371-378 Sp. Iss. SI SEP 2006
      24. Huang W, Yu L, Wang SY, Bao YK, Wang L Comparisons of the different frequencies of input data for neural networks in foreign exchange rates forecasting LECTURE NOTES IN COMPUTER SCIENCE 3994: 517-524 2006
      25. Chen YH, Peng LH, Abraham A Exchange rate forecasting using flexible neural trees LECTURE NOTES IN COMPUTER SCIENCE 3973: 518-523 2006
      26. Cao DZ, Pang SL Application of BP networks in exchange rate forecasting DYNAMICS OF CONTINUOUS DISCRETE AND IMPULSIVE SYSTEMS-SERIES A-MATHEMATICAL ANALYSIS 13: 288-295 Part 1 Suppl. S FEB 2006
      27. Alvarez-Diaz M, Alvarez A Genetic multi-model composite forecast for non-linear prediction of exchange rates EMPIRICAL ECONOMICS 30 (3): 643-663 OCT 2005
      28. Yu L, Wang SY, Lai KK An integrated data preparation scheme for neural network data analysis IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING 18 (2): 217-230 FEB 2006
      29. Sohn SY, Shin WH EWMA combination of both GARCH and neural networks for the prediction of exchange rate NEURAL NETWORK WORLD 15 (4): 375-380 2005
      30. Hryshko A, Downs T A machine learning approach to intraday trading on Foreign Exchange markets LECTURE NOTES IN COMPUTER SCIENCE 3578: 588-595 2005
      31. Yu L, Wang SY, Lai KK Adaptive smoothing neural networks in foreign exchange rate forecasting LECTURE NOTES IN COMPUTER SCIENCE 3516: 523-530 2005
      32. Yu L, Wang SY, Lai KK A novel nonlinear ensemble forecasting model incorporating GLAR and ANN for foreign exchange rates COMPUTERS & OPERATIONS RESEARCH 32 (10): 2523-2541 OCT 2005
      33. Hryshko A, Down T System for foreign exchange trading using genetic algorithms and reinforcement learning INTERNATIONAL JOURNAL OF SYSTEMS SCIENCE 35 (13-14): 763-774 OCT 20 2004
      34. Wei H, Lai KK, Nakamori Y, et al. Forecasting foreign exchange rates with artificial neural networks: A review INTERNATIONAL JOURNAL OF INFORMATION TECHNOLOGY & DECISION MAKING 3 (1): 145-165 MAR 2004
      35. Oliveira ALI, Neto FBL, Meira SRL Combining MLP and RBF neural networks for novelty detection in short time series LECTURE NOTES IN COMPUTER SCIENCE 2972: 844-853 2004
      36. Sapena O, Botti V, Argente E Application of neural networks to stock prediction in "pool" companies APPLIED ARTIFICIAL INTELLIGENCE 17 (7): 661-673 AUG 2003
    2. Yao JT, Li YL, Tan CL
      Option price forecasting using neural networks
      OMEGA-INTERNATIONAL JOURNAL OF MANAGEMENT SCIENCE 28 (4): 455-466 AUG 2000
      (cited: 34)
      1. Wang YH Using neural network to forecast stock index option price: a new hybrid GARCH approach QUALITY & QUANTITY Volume: 43 Issue: 5 Pages: 833-843 Published: SEP 2009
      2. Lin CT, Yeh HY Empirical of the Taiwan stock index option price forecasting model - applied artificial neural network APPLIED ECONOMICS Volume: 41 Issue: 15 Pages: 1965-1972 Published: 2009
      3. Ghaffari A, Zare S A novel algorithm for prediction of crude oil price variation based on soft computing ENERGY ECONOMICS Volume: 31 Issue: 4 Pages: 531-536 Published: JUL 2009
      4. Wu JD, Hsu CC, Chen HC An expert system of price forecasting for used cars using adaptive neuro-fuzzy inference EXPERT SYSTEMS WITH APPLICATIONS Volume: 36 Issue: 4 Pages: 7809-7817 Published: MAY 2009
      5. Ko PC Option valuation based on the neural regression model EXPERT SYSTEMS WITH APPLICATIONS Volume: 36 Issue: 1 Pages: 464-471 Published: JAN 2009
      6. Wang YH Nonlinear neural network forecasting model for stock index option price: Hybrid GJR-GARCH approach EXPERT SYSTEMS WITH APPLICATIONS Volume: 36 Issue: 1 Pages: 564-570 Published: JAN 2009
      7. Khashei M, Bijari M, Ardali GAR Improvement of Auto-Regressive Integrated Moving Average models using Fuzzy logic and Artificial Neural Networks (ANNs) NEUROCOMPUTING Volume: 72 Issue: 4-6 Pages: 956-967 Published: JAN 2009
      8. Quek C, Pasquier M, Kumar N A novel recurrent neural network-based prediction system for option trading and hedging APPLIED INTELLIGENCE Volume: 29 Issue: 2 Pages: 138-151 Published: OCT 2008
      9. Tseng CH, Cheng ST; Wang YH, Peng JT Artificial neural network model of the hybrid EGARCH volatility of the Taiwan stock index option prices PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS 387 (13): 3192-3200 MAY 15 2008
      10. Chan CCH Intelligent value-based customer segmentation method for campaign management: A case study of automobile retailer EXPERT SYSTEMS WITH APPLICATIONS Volume: 34 Issue: 4 Pages: 2754-2762 Published: MAY 4 2008
      11. Andreou PC, Charalambous C, Martzoukos SH Pricing and trading European options by combining artificial neural networks and parametric models with implied parameters EUROPEAN JOURNAL OF OPERATIONAL RESEARCH 185 (3): 1415-1433 MAR 16 2008
      12. Thomaidis NS, Tzastoudis VS, Dounias GD A comparison of neural network model selection strategies for the pricing of S&P 500 stock index options INTERNATIONAL JOURNAL ON ARTIFICIAL INTELLIGENCE TOOLS 16 (6): 1093-1113 2007
      13. Co HC, Boosarawongse R Forecasting Thailand's rice export: Statistical techniques vs. artificial neural networks COMPUTERS & INDUSTRIAL ENGINEERING 53 (4): 610-627 NOV 2007
      14. Shin HW, Sohn SY Application of an EWMA combining technique to the prediction of currency exchange rates IIE TRANSACTIONS 39 (6): 639-644 JUN 2007
      15. Roh TH Forecasting the volatility of stock price index EXPERT SYSTEMS WITH APPLICATIONS 33 (4): 916-922 NOV 2007
      16. Roh TH Forecasting the volatility of stock price index LECTURE NOTES IN ARTIFICIAL INTELLIGENCE 4093: 424-435 2006
      17. Tzastoudis VS, Thomaidis NS, Dounias GD Improving neural network based option price forecasting LECTURE NOTES IN COMPUTER SCIENCE 3955: 378-388 2006
      18. Chen AP, Chen YC, Tseng WC Applying extending classifier system to develop an option-operation suggestion model of intraday trading - An example of Taiwan index option LECTURE NOTES IN ARTIFICIAL INTELLIGENCE 3681: 27-33 2005
      19. Andreou PC, Charalambous C, Martzoukos SH Critical assessment of option pricing methods using artificial neural networks LECTURE NOTES IN COMPUTER SCIENCE 2415: 1131-1136 2002
      20. Behara RS, Fisher WW, Lemmink JGAM Modelling and evaluating service quality measurement using neural networks INTERNATIONAL JOURNAL OF OPERATIONS & PRODUCTION MANAGEMENT 22 (9-10): 1162-1185 2002
      21. Hwarng HB, Ang HT A simple neural network for ARMA(p, q) time series OMEGA-INTERNATIONAL JOURNAL OF MANAGEMENT SCIENCE 29 (4): 319-333 AUG 2001
    3. Yao JT, Teng N, Poh HL, Tan CL
      Forecasting and analysis of marketing data using neural networks
      JOURNAL OF INFORMATION SCIENCE AND ENGINEERING 14 (4): 843-862 DEC 1998
      (cited: 17)
      1. Merckx B, Goethals P, Steyaert M, et al. Predictability of marine nematode biodiversity ECOLOGICAL MODELLING Volume: 220 Issue: 11 Pages: 1449-1458 Published: JUN 10 2009
      2. Goethals PLM, Dedecker AP, Gabriels W, et al. Applications of artificial neural networks predicting macroinvertebrates in freshwaters AQUATIC ECOLOGY 41 (3): 491-508 SEP 2007
      3. Das P, Chaudhury S Prediction of retail sales of footwear using feedforward and recurrent neural networks NEURAL COMPUTING & APPLICATIONS 16 (4-5): 491-502 MAY 2007
      4. Park YS, Chon TS Biologically-inspired machine learning implemented to ecological informatics ECOLOGICAL MODELLING 203 (1-2): 1-7 Sp. Iss. SI APR 24 2007
      5. Lee WS, Kwon YS, Park YS, Chon TS, Yoo JC Evaluation of environmental factors to predict breeding success of Black-tailed Gulls ECOLOGICAL INFORMATICS 1 (3): 331-339 NOV 2006
      6. Petritis K, Kangas LJ, Yan B, Monroe ME, Strittmatter EF, Qian WJ, Adkins JN, Moore RJ, Xu Y, Lipton MS, Ii DGC, Smith RD Improved peptide elution time prediction for reversed-phase liquid chromatography-MS by incorporating peptide sequence information ANALYTICAL CHEMISTRY 78 (14): 5026-5039 JUL 15 2006
      7. Park YS, Chung YJ Hazard rating of pine trees from a forest insect pest using artificial neural networks FOREST ECOLOGY AND MANAGEMENT 222 (1-3): 222-233 FEB 15 2006
      8. Dedecker AP, Goethals PLM, D'Heygere T, et al. Application of artificial neural network models to analyse the relationships between Gammarus pulex L. (Crustacea, Amphipoda) and river characteristics ENVIRONMENTAL MONITORING AND ASSESSMENT 111 (1-3): 223-241 DEC 2005
      9. Robert S, Mure-Ravaud A, Thiria S, et al. Neural selection of the optimal optical signature for a rapid characterization of a submicrometer period grating OPTICS COMMUNICATIONS 238 (4-6): 215-228 AUG 15 2004
      10. Gevrey M, Dimopoulos L, Lek S Review and comparison of methods to study the contribution of variables in artificial neural network models ECOLOGICAL MODELLING 160 (3): 249-264 FEB 15 2003
      11. Park YS, Cereghino R, Compin A, et al. Applications of artificial neural networks for patterning and predicting aquatic insect species richness in running waters ECOLOGICAL MODELLING 160 (3): 265-280 FEB 15 2003
      12. Abidi SSR, Manickam S Leveraging XML-based electronic medical records to extract experiential clinical knowledge - An automated approach to generate cases for medical case-based reasoning systems INTERNATIONAL JOURNAL OF MEDICAL INFORMATICS 68 (1-3): 187-203 DEC 18 2002
      13. Changchien SW, Lu TC Mining association rules procedure to support on-line recommendation by customers and products fragmentation EXPERT SYSTEMS WITH APPLICATIONS 20 (4): 325-335 MAY 2001
    4. Yao JT, Yao YY
      Induction of classification rules by granular computing
      LECTURE NOTES IN ARTIFICIAL INTELLIGENCE 2475: 331-338 2002
      (cited:24)
      1. Li HX, Yao YY, Zhou XZ, et al. A Two-Phase Model for Learning Rules from Incomplete Data FUNDAMENTA INFORMATICAE Volume: 94 Issue: 2 Special Issue: Sp. Iss. SI Pages: 219-232 Published: 2009
      2. Zhu, W Relationship between generalized rough sets based on binary relation and covering INFORMATION SCIENCES 179 (3): 210-225 JAN 16 2009
      3. Nowicki R, On combining neuro-fuzzy architectures with the rough set theory to solve classification problems with incomplete data IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING Volume: 20 Issue: 9 Pages: 1239-1253 Published: SEP 2008
      4. Ma JM, Zhang WX, Leung Y, Song XX Granular computing and dual Galois connection INFORMATION SCIENCES 177 (23): 5365-5377 DEC 1 2007
      5. Liu Q, Sun H Theoretical study of granular computing LECTURE NOTES IN ARTIFICIAL INTELLIGENCE 4062: 93-102 2006
      6. Wasilewska A, Menasalvas E A classification model: Syntax and semantics for classification LECTURE NOTES IN ARTIFICIAL INTELLIGENCE 3642: 59-68 2005
      7. Shang L, Wan Q, Zhao ZH, et al. Evolutionary computation and rough set-based hybrid approach to rule generation LECTURE NOTES IN COMPUTER SCIENCE 3612: 855-862 2005
    5. Yao JT, Zhang M
      Feature selection with adjustable criteria
      LECTURE NOTES IN ARTIFICIAL INTELLIGENCE 3641: 204-213 2005
      (cited: 9)
      1. Yao YY Probabilistic rough set approximations INTERNATIONAL JOURNAL OF APPROXIMATE REASONING Volume: 49 Issue: 2 Pages: 255-271 Published: OCT 2008
      2. Liang HL, Wang J, Yao YY User-oriented feature selection for machine learning COMPUTER JOURNAL 50 (4): 421-434 2007
      3. Li TR, Ruan D, Geert W, Song J, Yu Y A rough sets based characteristic relation approach for dynamic attribute generalization in data mining KNOWLEDGE-BASED SYSTEMS 20 (5): 485-494 JUN 2007
    6. Yao JT
      Knowledge based descriptive neural networks
      LECTURE NOTES IN ARTIFICIAL INTELLIGENCE 2639: 430-436 2003
      (cited: 3)
      1. Dong M, Zhou XS Knowledge discovery in corporate events by neural network rule extraction APPLIED INTELLIGENCE Volume: 29 Issue: 2 Pages: 129-137 Published: OCT 2008
      2. Elizondo DA, Gongora MA Current trends on knowledge extraction and neural networks LECTURE NOTES IN COMPUTER SCIENCE 3697: 485-490 2005
    7. Liu WN, Yao JT, Yao YY
      Rough approximations under level fuzzy sets
      LECTURE NOTES IN ARTIFICIAL INTELLIGENCE 3066: 78-83 2004
      (cited: 8)
      1. Wu QE, Wang T, Peng XM, et al. Research on two different mathematical theories on control JOURNAL OF COMPUTATIONAL AND APPLIED MATHEMATICS Volume: 222 Issue: 2 Pages: 675-689 Published: DEC 15 2008
      2. Wu QE, Wang T, Huang YX, et al. Topology theory on rough sets IEEE TRANSACTIONS ON SYSTEMS MAN AND CYBERNETICS PART B-CYBERNETICS 38(1): 68-77 2008
      3. Coppola C, Pacelli T Approximate distances, pointless gemetry and incomplete information FUZZY SETS AND SYSTEMS 157 (17): 2371-2383 SEP 1 2006
    8. Zhao Y, Yao YY, Yao JT
      Level-wise construction of decision trees for classification
      INTERNATIONAL JOURNAL OF SOFTWARE ENGINEERING AND KNOWLEDGE ENGINEERING 16 (1): 103-126 FEB 2006
      1. Li HX, Yao YY, Zhou XZ, et al. A Two-Phase Model for Learning Rules from Incomplete Data FUNDAMENTA INFORMATICAE Volume: 94 Issue: 2 Special Issue: Sp. Iss. SI Pages: 219-232 Published: 2009
    9. Yao JT, Zhao SL, Fan L
      An enhanced support vector machine model for intrusion detection LECTURE NOTES IN ARTIFICIAL INTELLIGENCE 4062: 538-543 2006 (cited 2)
      1. Song J, Takakura H, Okabe Y, et al. Unsupervised Anomaly Detection Based on Clustering and Multiple One-Class SVM IEICE TRANSACTIONS ON COMMUNICATIONS Volume: E92B Issue: 6 Pages: 1981-1990 Published: JUN 2009
    10. Wang KL, Wang Y, Yao JT
      A comparative study on marketing mix models for digital products
      LECTURE NOTES IN COMPUTER SCIENCE 3828: 660-669 2005
    11. Herbert J, Yao JT
      A game-theoretic approach to competitive learning in self-organizing maps
      LECTURE NOTES IN COMPUTER SCIENCE 3610: 129-138 2005

    II. Known ISI Non-slef Citations of Other Papers

    1. Yao YY, Yao JT
      Granular Computing as a Basis for Consistent Classification Problems
      Communications of Institute of Information and Computing Machinery 5 (2): 101-106 2002
      (Cited: 26)
      1. Zheng Z, Lu J, Zhang GQ, He Q Rule sets based bilevel decision model and algorithm EXPERT SYSTEMS WITH APPLICATIONS Volume: 36 Issue: 1 Pages: 18-26 Published: JAN 2009
      2. Chen MC, Chen LS, Hsu CC, Zeng WR Information granulation based data mining approach for classifying imbalanced data INFORMATION SCIENCES Volume: 178 Issue: 16 Pages: 3214-3227 Published: AUG 15 2008
      3. Bargiela A, Pedrycz W, Toward a theory of granular computing for human-centered information processing, IEEE TRANSACTIONS ON FUZZY SYSTEMS Volume: 16 Issue: 2 Pages: 320-330 Published: APR 2008
      4. Jiang L, Deogun J SPICE: A new framework for data mining based on probability logic and formal concept analysis FUNDAMENTA INFORMATICAE 78 (4): 467-485 AUG 2007
      5. Frigui H MembershipMap: Data transformation based on granulation and fuzzy membership aggregation IEEE TRANSACTIONS ON FUZZY SYSTEMS 14 (6): 885-896 DEC 2006
      6. Liu Q, Sun H Theoretical study of granular computing LECTURE NOTES IN ARTIFICIAL INTELLIGENCE 4062: 93-102 2006
      7. Su CT, Chen LS, Yih YW Knowledge acquisition through information granulation for imbalanced data EXPERT SYSTEMS WITH APPLICATIONS 31 (3): 531-541 OCT 2006
      8. Liu Q, Wang QY Granular logic with closeness relation "similar to(lambda)" and its reasoning LECTURE NOTES IN ARTIFICIAL INTELLIGENCE 3641: 709-717 2005
      9. Zhang L, Zhang B The quotient space theory of problem solving FUNDAMENTA INFORMATICAE 59 (2-3): 287-298 FEB 2004
      10. Zhao Y Coarsening classification rules on basis of granular computing LECTURE NOTES IN ARTIFICIAL INTELLIGENCE 3060: 578-579 2004
      11. Lin TY Granular computing - Structures, representations, and applications LECTURE NOTES IN ARTIFICIAL INTELLIGENCE 2639: 16-24 2003
      12. Zhang L, Zhang B The quotient space theory of problem solving LECTURE NOTES IN ARTIFICIAL INTELLIGENCE 2639: 11-15 2003
    2. Yao JT, Tan, CL, Poh, HL
      Neural Networks for Technical Analysis: A Study on KLCI
      International Journal of Theoretical and Applied Finance 2(2): 221-241 1999
      (Cited: 20)
      1. Chavarnakul T, Enke D A hybrid stock trading system for intelligent technical analysis-based equivolume charting NEUROCOMPUTING Volume: 72 Issue: 16-18 Special Issue: Sp. Iss. SI Pages: 3517-3528 Published: OCT 2009
      2. Vasquez ML, Losada DFH, Osorio FG Exploiting stock data: a survey of state of the art computational techniques aimed at producing beliefs regarding investment portfolios REVISTA INGENIERIA E INVESTIGACION Volume: 28 Issue: 1 Pages: 105-116 Published: APR 2008
      3. Barunik J How Do Neural Networks Enhance the Predictability of Central European Stock Returns? FINANCE A UVER-CZECH JOURNAL OF ECONOMICS AND FINANCE Volume: 58 Issue: 7-8 Pages: 359-376 Published: 2008
      4. Alvarez-Diaz M, Exchange rates forecasting: local or global methods? APPLIED ECONOMICS Volume: 40 Issue: 15 Pages: 1969-U4 Published: 2008
      5. Zhu XT, Wang H, Xu L, Li HZ Predicting stock index increments by neural networks: The role of trading volume under different horizons EXPERT SYSTEMS WITH APPLICATIONS Volume: 34 Issue: 4 Pages: 3043-3054 Published: MAY 4 2008
      6. Chavarnakul T, Enke D Intelligent technical analysis based equivolume charting for stock trading using neural networks EXPERT SYSTEMS WITH APPLICATIONS Volume: 34 Issue: 2 Pages: 1004-1017 Published: FEB 2008
      7. Tsang PM, Kwok P, Choy SO, et al. Design and implementation of NN5 for Hong Kong stock price forecasting ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE 20 (4): 453-461 JUN 2007
      8. O'Connor N, Madden MG A neural network approach to predicting stock exchange movements using external factors KNOWLEDGE-BASED SYSTEMS 19 (5): 371-378 Sp. Iss. SI SEP 2006
      9. Alvarez-Diaz M, Alvarez A Genetic multi-model composite forecast for non-linear prediction of exchange rates EMPIRICAL ECONOMICS 30 (3): 643-663 OCT 2005
      10. Johnson CA, Padilla MA Non-linear regularities in shareholding indexes - An approximation with neuronal networks TRIMESTRE ECONOMICO 72 (288): 765-821 OCT-DEC 2005
      11. Cao Q, Leggio KB, Schniederjans MJ A comparison between Fama and French's model and artificial neural networks in predicting the Chinese stock market COMPUTERS & OPERATIONS RESEARCH 32 (10): 2499-2512 OCT 2005
      12. Gao DY, Kinouchi Y, Ito K Neural networks for event detection from time series: A BP algorithm approach LECTURE NOTES IN COMPUTER SCIENCE 2658: 784-793 2003
    3. Poh, HL, Yao, JT, Jasic, T.
      Neural Networks for the Analysis and Forecasting of Advertising and Promotion Impact
      International Journal of Intelligent Systems in Accounting, Finance and Management 7(4): 253-268 1998
      (Cited: 13)
      1. Mostafa MM, Nataraajan R A neuro-computational intelligence analysis of the ecological footprint of nations COMPUTATIONAL STATISTICS & DATA ANALYSIS Volume: 53 Issue: 9 Pages: 3516-3531 Published: JUL 1 2009
      2. Giddens JL, Schermer JA, Vernon PA Material values are largely in the family: A twin study of genetic and environmental contributions to materialism PERSONALITY AND INDIVIDUAL DIFFERENCES Volume: 46 Issue: 4 Pages: 428-431 Published: MAR 2009
      3. Doganis P, Aggelogiannaki E, Sarimveis H A combined model predictive control and time series forecasting framework for production-inventory systems INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH Volume: 46 Issue: 24 Pages: 6841-6853 Published: 2008
      4. Ramalingam V, Palaniappan B, Panchanatham N, et al. Measuring advertisement effectiveness - a neural network approach EXPERT SYSTEMS WITH APPLICATIONS 31 (1): 159-163 JUL 2006
      5. Doganis P, Alexandridis A, Patrinos P, et al. Time series sales forecasting for short shelf-life food products based on artificial neural networks and evolutionary computing JOURNAL OF FOOD ENGINEERING 75 (2): 196-204 JUL 2006
      6. Kumar A, Agrawal DP Advertising data analysis using rough sets model INTERNATIONAL JOURNAL OF INFORMATION TECHNOLOGY & DECISION MAKING 4 (2): 263-276 JUN 2005
      7. Schwaiger A, Stahmer B SimMarket: Multiagent-based customer simulation and decision support for category management LECTURE NOTES IN ARTIFICIAL INTELLIGENCE 2831: 74-84 2003
      8. Sapena O, Botti V, Argente E Application of neural networks to stock prediction in "pool" companies APPLIED ARTIFICIAL INTELLIGENCE 17 (7): 661-673 AUG 2003
    4. Yao JT, Poh HL, Jasic, T.
      Foreign Exchange Rates Forecasting with Neural Networks
      Proceedings of International Conference on Neural Information Processing 754-759 1996 (Cited 7)
      1. Bekiros SD Fuzzy adaptive decision-making for boundedly rational traders in speculative stock markets EUROPEAN JOURNAL OF OPERATIONAL RESEARCH Volume: 202 Issue: 1 Pages: 285-293 Published: APR 1 2010
      2. Cifter A, Ozun A A Signal Processing Model for Time Series Analysis: the Effects of International F/X Markets on Domestic Currencies Using Wavelet Networks INTERNATIONAL REVIEW OF ELECTRICAL ENGINEERING-IREE Volume: 3 Issue: 3 Pages: 580-591 Published: MAY-JUN 2008
      3. Zhang YQ, Wan XH Statistical fuzzy interval neural networks for currency exchange rate time series prediction APPLIED SOFT COMPUTING 7 (4): 1149-1156 AUG 2007
      4. Bekiros SD, Georgoutsos DA Evaluating direction-of-change forecasting: Neurofuzzy models vs. neural networks MATHEMATICAL AND COMPUTER MODELLING 46 (1-2): 38-46 JUL 2007
      5. Lee VCS, Wong HT A multivariate neuro-fuzzy system for foreign currency risk management decision making NEUROCOMPUTING 70 (4-6): 942-951 JAN 2007
      6. Wei H, Lai KK, Nakamori Y, et al. Forecasting foreign exchange rates with artificial neural networks: A review INTERNATIONAL JOURNAL OF INFORMATION TECHNOLOGY & DECISION MAKING 3 (1): 145-165 MAR 2004
    5. Yao JT, Tan CL
      Time dependent Directional Profit Model for Financial Time Series Forecasting
      Proceedings of The IEEE-INNS-ENNS International Joint Conference on Neural Networks, V:291-296 2000.
      (cited :8)
      1. Zhu XT, Wang H, Xu L, Li HZ Predicting stock index increments by neural networks: The role of trading volume under different horizons EXPERT SYSTEMS WITH APPLICATIONS Volume: 34 Issue: 4 Pages: 3043-3054 Published: MAY 4 2008
      2. Wang LM, Liang YC, Shi XH, et al. An improved OIF Elman neural network and its applications to stock market LECTURE NOTES IN ARTIFICIAL INTELLIGENCE 4251: 21-28 2006
      3. Fieldsend JE, Singh S Pareto evolutionary neural networks IEEE TRANSACTIONS ON NEURAL NETWORKS 16 (2): 338-354 MAR 2005 (Yao J)
      4. Lee RST iJADE stock advisor: An intelligent agent based stock prediction system using hybrid RBF recurrent network IEEE TRANSACTIONS ON SYSTEMS MAN AND CYBERNETICS PART A-SYSTEMS AND HUMANS 34 (3): 421-428 MAY 2004
    6. Yao JT, Poh HL
      Forecasting The KLSE Index Using Neural Networks
      Proceedings of IEEE International Conference on Neural Networks 2: 1012-1017 1995
      (Cited: 12)
      1. Zarandi MHF, Rezaee B, Turksen IB, Neshat E A type-2 fuzzy rule-based expert system model for stock price analysis EXPERT SYSTEMS WITH APPLICATIONS Volume: 36 Issue: 1 Pages: 139 Published: JAN 2009
      2. Chang PC, Fan CY, Liu CH Integrating a Piecewise Linear Representation Method and a Neural Network Model for Stock Trading Points Prediction IEEE TRANSACTIONS ON SYSTEMS MAN AND CYBERNETICS PART C-APPLICATIONS AND REVIEWS Volume: 39 Issue: 1 Pages: 80-92 Published: JAN 2009
      3. Lai RK, Fan CY, Huang WH, Chang PC Evolving and clustering fuzzy decision tree for financial time series data forecasting EXPERT SYSTEMS WITH APPLICATIONS Volume: 36 Issue: 2 Pages: 3761-3773 Part: Part 2 Published: MAR 2009
      4. Chang PC, Fan CY A Hybrid System Integrating a Wavelet and TSK Fuzzy Rules for Stock Price Forecasting IEEE TRANSACTIONS ON SYSTEMS MAN AND CYBERNETICS PART C-APPLICATIONS AND REVIEWS Volume: 38 Issue: 6 Pages: 802-815 Published: NOV 2008
      5. Mochon A, Quintana D, Saez Y, Isasi P, Soft computing techniques applied to finance, APPLIED INTELLIGENCE Volume: 29 Issue: 2 Pages: 111-115 Published: OCT 2008
      6. Valenzuelaa O, Rojas I, Rojas F, et al. Hybridization of intelligent techniques and ARIMA models for time series prediction FUZZY SETS AND SYSTEMS Volume: 159 Issue: 7 Pages: 821-845 Published: APR 1 2008
      7. Chang PC, Liu CH A TSK type fuzzy rule based system for stock price prediction, EXPERT SYSTEMS WITH APPLICATIONS 34 (1): 135-144 JAN 2008
      8. Kodogiannis V, Lolis A Forecasting financial time series using neural network and fuzzy system-based techniques NEURAL COMPUTING & APPLICATIONS 11 (2): 90-102 OCT 2002
      9. Lu J, Ohta H Using the optimization layer-by-layer learning algorithm on local-recurrent-global-feedforward networks in financial time series predictions INTERNATIONAL JOURNAL OF SYSTEMS SCIENCE 33 (12): 959-967 OCT 10 2002
    7. Yao JT, Tan CL
      A Study on Training Criteria for Financial Time Series Forecasting
      Proceedings of International Conference on Neural Information Processing 757-761 2001
      (cited: 7)
      1. Miazhynskaia T, Fruhwirth-Schnatter S, Dorffner G Neural network models for conditional distribution under Bayesian analysis NEURAL COMPUTATION Volume: 20 Issue: 2 Pages: 504-522 Published: 2008
      2. Pan HP, Titakaratne C, Yearwood J Predicting Australian stock market index using neural networks exploiting dynamical swings and intermarket influences JOURNAL OF RESEARCH AND PRACTICE IN INFORMATION TECHNOLOGY 37 (1): 43-55 2005
      3. Pan HP, Tilakaratne C, Yearwood J Predicting the Australian stock market index using neural networks exploiting dynamical swings and intermarket influences LECTURE NOTES IN ARTIFICIAL INTELLIGENCE 2903: 327-338 2003
    8. Yao JT
      Ecommerce adoption of insurance companies in New Zealand, Journal of Electronic Commerce Research, 5 (1): 54-61 2004
      (cited: 4)
      1. Jerman-Blazic B Web-hosting market development status and its value as an indicator of a country's e-readiness TELECOMMUNICATIONS POLICY Volume: 32 Issue: 6 Pages: 422-435 Published: JUL 2008
      2. Xi YM, Zhuang Y, Huang W, She CG, Zhang ZP The quality assessment and content analysis of corporate websites in China: An empirical study INTERNATIONAL JOURNAL OF INFORMATION TECHNOLOGY & DECISION MAKING 6 (2): 389-405 JUN 2007
      3. Tan J, Tyler K, Manica A Business-to-business adoption of eCommerce in China INFORMATION & MANAGEMENT 44 (3): 332-351 APR 2007
      4. Molla A, Licker PS eCommerce adoption in developing countries: a model and instrument INFORMATION & MANAGEMENT 42 (6): 877-899 SEP 2005
    9. Yao JT, Tan CL
      Guidelines for Financial Forecasting with Neural Networks
      Proceedings of International Conference on Neural Information Processing 772-777 2001
      1. Yumlu S, Gurgen FS, Okay N A comparison of global, recurrent and smoothed-piecewise neural models for Istanbul stock exchange (ISE) prediction PATTERN RECOGNITION LETTERS 26 (13): 2093-2103 OCT 1 2005
      2. Yumlu MS, Gurgen FS, Okay N Financial time series prediction using mixture of experts LECTURE NOTES IN COMPUTER SCIENCE 2869: 553-560 2003
    10. Yao JT, Li YL, Tan CL
      Forecasting the Exchange Rates of CHF vs USD Using Neural networks, Journal of Computational Intelligence in Finance 5 (2): 7-13 1997.
      1. Lee VCS, Wong HT A multivariate neuro-fuzzy system for foreign currency risk management decision making NEUROCOMPUTING 70 (4-6): 942-951 JAN 2007
      2. Alvarez-Diaz M, Alvarez A Genetic multi-model composite forecast for non-linear prediction of exchange rates EMPIRICAL ECONOMICS 30 (3): 643-663 OCT 2005
    11. Zhang M, Yao JT
      A Rough Sets Based Approach to Feature Selection, Proceedings of The 23rd International Conference of NAFIPS, Banff, Canada, June 27-30, 2004, pp434-439.
      1. Cheng W, Liu C, Wang X Rough set approach to video genre classification LECTURE NOTES IN COMPUTER SCIENCE 4179: 1210-1220 2006
      2. Han JC, Sanchez R, Hu XH Feature selection based on relative attribute dependency: An experimental study LECTURE NOTES IN ARTIFICIAL INTELLIGENCE 3641: 214-223 2005
    12. JT Yao, Zhang M
      A Fast Tree Pattern Matching Algorithm for XML Query Proceedings of the IEEE/WIC/ACM International Conference on Web Intelligence, Be ijing, China, Sept 20-24, 2004, pp235-241. (cited 5)
      1. Xue YJ, Wang C, Ghenniwa HH, et al. A Tree Similarity Measuring Method and its Application to Ontology Comparison JOURNAL OF UNIVERSAL COMPUTER SCIENCE Volume: 15 Issue: 9 Pages: 1766-1781 Published: 2009
      2. Haw SC, Lee CS Efficient Preprocesses for Fast Storage and Query Retrieval in Native XML Database IETE TECHNICAL REVIEW Volume: 26 Issue: 1 Pages: 28-40 Published: JAN-FEB 2009
      3. Lu JG, Wang J, Wang SR XML shema matching INTERNATIONAL JOURNAL OF SOFTWARE ENGINEERING AND KNOWLEDGE ENGINEERING: 17 (5):575-597
      4. Wang SR, Lu JG, Wang J Approximate common structures in XML schema matching LECTURE NOTES IN COMPUTER SCIENCE 3739: 900-905 2005
    13. Yao JT, Yao YY
      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, Halifax, Canada, Oct 13-17, 2003, pp570-573.
      (cited: 8)
      1. Pagola JEM, Martinez EG, Palancar JH, et al. Similarity measures in documents using association graphs LECTURE NOTES IN COMPUTER SCIENCE 3773: 741-751 2005
    14. Yao JT, Yao YY
      Information Granulation for Web based Information Retrieval Support Systems, Data Mining and Knowledge Discovery: Theory, Tools, and Technology V, Proceedings of SPIE 5098: 138-146 2003
      1. Liang JZ On Chinese web page classification LECTURE NOTES IN ARTIFICIAL INTELLIGENCE 3070: 634-639 2004
    15. Yao JT, Yao YY
      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. (cited 17)
      1. Yao YY Interpreting Concept Learning in Cognitive Informatics and Granular Computing IEEE TRANSACTIONS ON SYSTEMS MAN AND CYBERNETICS PART B-CYBERNETICS Volume: 39 Issue: 4 Pages: 855-866 Published: AUG 2009
      2. Tang YC, Jin B, Zhang YQ Granular support vector machines with association rules mining for protein homology prediction ARTIFICIAL INTELLIGENCE IN MEDICINE 35 (1-2): 121-134 SEP-OCT 2005
    16. Herbert J, Yao JT
      Time-Series Data Analysis with Rough Sets
      Proceedings of the 4th International Conference on Computational Intelligence in Economics and Finance (CIEF'05), 2005, pp908-911.
      1. Pawlak Z, Skowron A Rough sets and Boolean reasoning INFORMATION SCIENCES 177 (1): 41-73 JAN 1 2007
    17. Yao JT, Liu WN
      The STP Model for Solving Imprecise Problems
      Proceedings of IEEE Conference on Granular Computing (GrC'06), 2006, pp683-687. (cited 5)
      1. Zhu W Relationship between generalized rough sets based on binary relation and covering INFORMATION SCIENCES Volume: 179 Issue: 3 Pages: 210-225 Published: JAN 16 2009
      2. Zhu W Generalized rough sets based on relations INFORMATION SCIENCES 177 (22): 4997-5011 NOV 15 2007
      3. Zhu W, Wang FY Binary relation based rough sets LECTURE NOTES IN COMPUTER SCIENCE 4223: 276-285 2006
    18. Yao JT, Poh H-L
      Equity forecasting: a case study on the klse index
      Neural networks in financial engineering, Proceedings of the Third International Conference on Neural Networks in the Capital Markets, 1996, pp341-353. (cited 6)
      1. Zhu XT, Wang H, Xu L, Li HZ Predicting stock index increments by neural networks: The role of trading volume under different horizons EXPERT SYSTEMS WITH APPLICATIONS Volume: 34 Issue: 4 Pages: 3043-3054 Published: MAY 4 2008
      2. Tsang PM, Kwok P, Choy SO, et al. Design and implementation of NN5 for Hong Kong stock price forecasting ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE 20 (4): 453-461 JUN 2007
    19. Yao JT
      Sensitivity Analysis for Data Mining
      Proceedings of The 22nd International Conference of NAFIPS, July 24-26, Chicago, USA, 2003, pp272-277.
      1. Martens D, Baesens B, Van Gestel T, Vanthienen J Comprehensible credit scoring models using rule extraction from support vector machines EUROPEAN JOURNAL OF OPERATIONAL RESEARCH 183 (3): 1466-1476 DEC 16 2007
    20. Yao JT, Zhao SL, Saxton LV
      A study on fuzzy intrusion detection
      Proceedings of SPIE Vol. 5812, Data Mining, Intrusion Detection, Information Ass urance, And Data Networks Security, 28 March - 1 April 2005, Orlando, Florida, U SA, edited by Belur V. Dasarathy, (SPIE, Bellingham, WA, 2005), pp23-30.
      (cietd: 5)
      1. Wu SX, Banzhaf W The use of computational intelligence in intrusion detection systems: A review APPLIED SOFT COMPUTING Volume: 10 Issue: 1 Pages: 1-35 Published: JAN 2010
      2. Zhu HB, Kai HM, Eguchi K, et al. Application of BPNN in Classification of Time Intervals for Intelligent Intrusion Detection Decision Response System INTERNATIONAL JOURNAL OF INNOVATIVE COMPUTING INFORMATION AND CONTROL Volume: 4 Issue: 10 Pages: 2483-2491 Published: OCT 2008
      3. Bankovic Z, Stepanovic D, Bojanic S, et al. Improving network security using genetic algorithm approach COMPUTERS & ELECTRICAL ENGINEERING 33 (5-6): 438-451 SEP-NOV 2007
    21. Zhang M, Yao JT
      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.
      1. Novak L, Zamulin A An XML algebra for XQuery LECTURE NOTES IN COMPUTER SCIENCE 4152: 4-21 2006
    22. Yao JT, Liu WN, Fan L, Yao YY and Yang XD
      Supporting Sustainable Communities with Web-based Information Systems
      Journal of Environmental Informatics, 7(2): 84-94, 2006 (cited 5)
      1. Cai YP, Huang GH, Yang ZF, et al. Investigation of public's perception towards rural sustainable development based on a two-level expert system EXPERT SYSTEMS WITH APPLICATIONS Volume: 36 Issue: 5 Pages: 8910-8924 Published: JUL 2009
      2. Cai YP, Huang GH, Yang ZF, et al. Community-scale renewable energy systems planning under uncertainty-An interval chance-constrained programming approach RENEWABLE & SUSTAINABLE ENERGY REVIEWS Volume: 13 Issue: 4 Pages: 721-735 Published: MAY 2009
      3. Cai YP, Huang GH, Lin QG, et al. An optimization-model-based interactive decision support system for regional energy management systems planning under uncertainty EXPERT SYSTEMS WITH APPLICATIONS Volume: 36 Issue: 2 Pages: 3470-3482 Part: Part 2 Published: MAR 2009
      4. Cai YP, Huang GH, Yang ZF, et al. Development of an optimization model for energy systems planning in the Region of Waterloo INTERNATIONAL JOURNAL OF ENERGY RESEARCH Volume: 32 Issue: 11 Pages: 988-1005 Published: SEP 2008
    23. Yao JT, Herbert JP
      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.
      (cited: 5)
      1. Yao YY Probabilistic rough set approximations INTERNATIONAL JOURNAL OF APPROXIMATE REASONING Volume: 49 Issue: 2 Pages: 255-271 Published: OCT 2008
      2. Yao YY, Zhao Y Attribute reduction in decision-theoretic rough set models INFORMATION SCIENCES Volume: 178 Issue: 17 Pages: 3356-3373 Published: SEP 1 2008
    24. Yao JT
      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. (cited 7)
      1. Yao YY Interpreting Concept Learning in Cognitive Informatics and Granular Computing IEEE TRANSACTIONS ON SYSTEMS MAN AND CYBERNETICS PART B-CYBERNETICS Volume: 39 Issue: 4 Pages: 855-866 Published: AUG 2009
      2. Wang JL, Xu CF, Li G MINING FREQUENT ITEMSETS IN DISTORTED DATABASES WITH GRANULAR COMPUTING INTERNATIONAL JOURNAL OF PATTERN RECOGNITION AND ARTIFICIAL INTELLIGENCE Volume: 23 Issue: 4 Pages: 825-846 Published: JUN 2009
      3. Liu GL, Sai Y A comparison of two types of rough sets induced by coverings INTERNATIONAL JOURNAL OF APPROXIMATE REASONING Volume: 50 Issue: 3 Pages: 521-528
    25. Yao JT
      Knowledge extracted from trained neural networks: what's next?
      Proceedings of SPIE Vol. 5812, Data Mining, Intrusion Detection, Information Ass urance, And Data Networks Security, 28 March - 1 April 2005, Orlando, Florida, U SA, edited by Belur V. Dasarathy, (SPIE, Bellingham, WA, 2005), pp151-157.
      1. Yu L, Wang LY, Yu JB Identification of product definition patterns in mass customization using a learning-based hybrid approach INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY Volume: 38 Issue: 11-12 Pages: 1061-1074 Published: OCT 2008
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