Indonesia Composite Index Prediction using Fuzzy Support Vector Regression with Fisher Score Feature Selection
How to cite (IJASEIT) :
S. Wang, G. Li, and Y. Bao, “A Novel Improved Fuzzy Support Vector Machine Based Stock Price Trend Forecast Model”, International Conference on Innovations in Economic Management and Social Science (IEMSS 2017), Jan 2nd, 2018.
S.N. Dhage, and C.K. Raina, “A Review on Machine Learning Techniques”, International Journal on Recent and Innovation Trends in Computing and Communication, vol. 4, March 2016.
S. Abe, and T. Inoue, “Fuzzy Support Vector Machines for Multiclass Problems”, European Symposium on Artificial Neural Networks, Belgium, pp. 113-118, 2002.
C.F. Lin, and S.D. Wang, “Fuzzy Support Vector Machines”, IEEE. Trans. Neural Netw, 2002, 13, 464-471.
Y.K. Bao, Z.T. Liu, L. Guo, and W. Wang, “Forecasting Stock Composite Index by Fuzzy Support Vector Machines Regression”, IEEE. Fourth International Conference on Machine Learning and Cybernetics, Guangzhou, 2005.
X. Ma, “PCA-Fuzzy-SVR Stock Price Prediction”, Master Thesis, University of Amsterdam, August 25th, 2011.
J.C. Hung, “Fuzzy Support Vector Regression Model for Forecasting Stock Market Volatility”, IOS Press, Journal of Intelligent & Fuzzy Systems 31, 1987-2000, 2016.
A.H. Moghaddam, M.H. Moghaddam, and M. Esfandyari, “Stock Market Index Prediction Using Artificial Neural Network”, Universidad Esan. Journal of Economics, Finance and Administrative Science, vol. 21, pp. 89-93, December 2016.
Y. Lee, L.T.C. Ow, and D.N.C. Ling, “Hidden Markov Models for Forex Trends Prediction”, IEEE. 2014.
Z. Rustam, and K. Takbiradzani, “Application Support Vector Regression for Jakarta Composite Index Prediction with Laplacian Score Feature Selection”, Journal of Theoretical and Applied Information Technology, vol. 97, no 01, 2019.
M. Kumar, and M. Thenmozhi, “Forecasting Stock Index Movement: A Comparison of Support Vector Machines and Random Forest”, Indian Institute of Capital Markets 9th Capital Markets Conference Paper, Navi Mumbai, 2006.
A.V. Gavrilov, “Hybrid Intelligent Systems in Ubiquitous Computing”, In Designing Solutions-Based Ubiquitous and Pervasive Computing: News Issues and Trends (pp. 263-281), IDEA Publishing Inc, 2007.
P.C. Chang, and C.H. Liu, “A TSK Type Fuzzy Rule Based System for Stock Price Prediction”, Expert Systems with Applications. 34(1). 135- 144, doi:10.1016/j.eswa.2006.08.020, 2008.
Q. Gu, Z. Li, and J. Han, “Generalized ï¬sher score for feature selection”, CoRR abs/1202.3725, 2012.
L.A. Zadeh., “Fuzzy Sets”, Information and Control 8 (3), 338-353, 1965.
M. Bowie, “Fuzzy Clustering, Feature Selection, and Membership Function Optimization”, 2004.
Z. Rustam, and A.S. Talita, “Fuzzy Kernel C-Means Algorithm for Intrusion Detection Systems”, Journal of Theoretical and Applied Information Technology, vol. 81, 2015.
Z. Rustam, and A.S. Talita, “Fuzzy Kernel K-Medoids Algorithm for Multiclass Multidimensional Data Classification”, Journal of Theoretical and Applied Information Technology, vol. 80, 2015.
K.M. Lim, Y.C. Sim, and K.W. Oh, “A Face Recognition System Using Fuzzy Logic and Artificial Neural Network”, IEEE. [1992 Proceedings] IEEE International Conference on Fuzzy Systems, USA, 2002.
V.H. Le, F. Liu, and D.K. Tran, “Fuzzy Linguistic Logic Programming and its Applications”, Theory and Practice of Logic Programming (TPLP), 2009.
L. Han, X. Zeng, and H. Yan, “Fuzzy Clustering Analysis of Microarray Data”, Proc Inst Mech Eng H, October 2008.
X. Wu, and V. Kumar, “The Top Ten Algorithms in Data Mining”, Taylor & Francis Group, LLC, pp. 37-51, 2009.
C.M. Bishop, “Pattern Recognition and Machine Learning”, Springer, New York, pp. 325-344, 2006.
K.P. Lin, and P.F. Pai, “A Fuzzy Support Vector Regression Models for Business Cycle Prediction”, Elsevier Ltd. Expert Systems with Applications 37, 5430-5435, 2010.
Z. Rustam, D.F. Vibranti, and D. Widya, “Predicting The Direction of Indonesian Stock Price Movement using Support Vector Machines and Fuzzy Kernel C-Means”, Proceeding of 3rd International Symposium on Current Progress in Mathematics and Sciences, Bali, 2017.
Y. Kara, M.A. Boyacioglu, and í–.K. Baykan, “Predicting Direction of Stock Price Index Movement using Artificial Neural Networks and Support Vector Machines: The Sample of Istanbul Stock Exchange”, Expert Syst. Appl. 38, 5311-5319, 2011.
K. Arunasakthi, L. KamatchiPriya, and A Askerunisa, “Fisher Score Dimensionality Reduction for SVM Classification”, International Journal of Innovative Research in Science, Engineering and Technology. 2014 International Conference on Innovations in Engineering and Technology, vol. 3, March 2014.
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