Local and global characteristics-based kernel hybridization to increase optimal support vector machine performance for stock market prediction

Knowledge and Information Systems ◽

10.1007/s10115-018-1263-1 ◽

2018 ◽

Vol 60 (2) ◽

pp. 971-1000

Author(s):

M. M. Gowthul Alam ◽

S. Baulkani

Keyword(s):

Support Vector Machine ◽

Stock Market ◽

Support Vector ◽

Stock Market Prediction ◽

Machine Performance

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Indian Stock Market Prediction Based on Rough Set and Support Vector Machine Approach

Smart Innovation, Systems and Technologies - Intelligent and Cloud Computing ◽

10.1007/978-981-15-6202-0_35 ◽

2020 ◽

pp. 345-355

Author(s):

Rudra Kalyan Nayak ◽

Ramamani Tripathy ◽

Debahuti Mishra ◽

Vijay Kumar Burugari ◽

Prabha Selvaraj ◽

...

Keyword(s):

Support Vector Machine ◽

Stock Market ◽

Rough Set ◽

Support Vector ◽

Stock Market Prediction ◽

Indian Stock Market

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An Optimized Combination of π-fuzzy Logic and Support Vector Machine for Stock Market Prediction

Journal of Intelligence and Information Systems ◽

10.13088/jiis.2014.20.4.43 ◽

2014 ◽

Vol 20 (4) ◽

pp. 43-58 ◽

Author(s):

Tuanhung Dao ◽

Hyunchul Ahn

Keyword(s):

Support Vector Machine ◽

Fuzzy Logic ◽

Stock Market ◽

Support Vector ◽

Stock Market Prediction

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Support Vector Machine Regression for Volatile Stock Market Prediction

Intelligent Data Engineering and Automated Learning — IDEAL 2002 - Lecture Notes in Computer Science ◽

10.1007/3-540-45675-9_58 ◽

2002 ◽

pp. 391-396 ◽

Author(s):

Haiqin Yang ◽

Laiwan Chan ◽

Irwin King

Keyword(s):

Support Vector Machine ◽

Stock Market ◽

Support Vector ◽

Support Vector Machine Regression ◽

Stock Market Prediction

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Forecast on Close Stock Market Prediction using Support Vector Machine (SVM)

International Journal of Engineering Research and ◽

10.17577/ijertv8is020031 ◽

2019 ◽

Vol V8 (02) ◽

Author(s):

Elijah Joseph ◽

Keyword(s):

Support Vector Machine ◽

Stock Market ◽

Support Vector ◽

Stock Market Prediction

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Neural Fuzzy Inference Hybrid System with Support Vector Machine for Identification of False Singling in Stock Market Prediction for Profit Estimation

Advances in Intelligent Systems and Computing - Intelligent and Fuzzy Techniques: Smart and Innovative Solutions ◽

10.1007/978-3-030-51156-2_27 ◽

2020 ◽

pp. 221-227

Author(s):

Bhupinder Singh ◽

Santosh Kumar Henge

Keyword(s):

Support Vector Machine ◽

Stock Market ◽

Hybrid System ◽

Fuzzy Inference ◽

Support Vector ◽

Stock Market Prediction ◽

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Improved Stock Market Prediction by Combining Support Vector Machine and Empirical Mode Decomposition

2012 Fifth International Symposium on Computational Intelligence and Design ◽

10.1109/iscid.2012.138 ◽

2012 ◽

Author(s):

Honghai Yu ◽

Haifei Liu

Keyword(s):

Support Vector Machine ◽

Stock Market ◽

Empirical Mode Decomposition ◽

Support Vector ◽

Stock Market Prediction ◽

Mode Decomposition

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A novel nonlinear combination model based on Support Vector Machine for stock market prediction

2010 8th World Congress on Intelligent Control and Automation ◽

10.1109/wcica.2010.5554607 ◽

2010 ◽

Author(s):

Fangqiong Luo ◽

Jiansheng Wu ◽

Kesong Yan

Keyword(s):

Support Vector Machine ◽

Stock Market ◽

Support Vector ◽

Stock Market Prediction ◽

Combination Model ◽

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Hybrid support vector machine rule extraction method for discovering the preferences of stock market investors: Evidence from Montenegro

Intelligent Automation & Soft Computing ◽

10.1080/10798587.2014.971500 ◽

2014 ◽

Vol 21 (4) ◽

pp. 503-522 ◽

Author(s):

Ljiljana Kašćelan ◽

Vladimir Kašćelan ◽

Miomir Jovanović

Keyword(s):

Support Vector Machine ◽

Stock Market ◽

Extraction Method ◽

Rule Extraction ◽

Support Vector ◽

Stock Market Investors

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Applying Dynamic Fuzzy Model in Combination with Support Vector Machine to Explore Stock Market Dynamism

Adaptive and Natural Computing Algorithms - Lecture Notes in Computer Science ◽

10.1007/978-3-540-71629-7_28 ◽

2007 ◽

pp. 246-253

Author(s):

Deng-Yiv Chiu ◽

Ping-Jie Chen

Keyword(s):

Support Vector Machine ◽

Stock Market ◽

Fuzzy Model ◽

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A feature weighted support vector machine and K-nearest neighbor algorithm for stock market indices prediction

Expert Systems with Applications ◽

10.1016/j.eswa.2017.02.044 ◽

2017 ◽

Vol 80 ◽

pp. 340-355 ◽

Author(s):

Yingjun Chen ◽

Yongtao Hao

Keyword(s):

Support Vector Machine ◽

Stock Market ◽

Nearest Neighbor ◽

Support Vector ◽

K Nearest Neighbor ◽

Nearest Neighbor Algorithm ◽

K Nearest Neighbor Algorithm

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