ISSN 2394-5125
 

Research Article 


KERNEL GRANULAR SUPPORT VECTOR METHOD FOR ANALYZING STOCK MARKET ANALYSIS USING SUPERVISED MACHINE LEARNING

Dr. Shweta Chandrashekhar Dharmadhikari, Sudhir Sharma, Rajendar Kalvala.

Abstract
Nowadays, Stock market is one the major role played in business and economical growth.
Brokerage, Corporations, banking, business and industries are using share or stock market with high risk. This is
revenues based complicated model. In this paper, we propose kernel granular support vector Stock method for
analyzing stock market using supervised machine learning approach. These methods are very helpful for all
types of user and compare the performance with existing models. This method is combination of support vector
machine and granular computing model. The dataset is divided into granules with kernel space without changing
data distribution. The efficiency is calculated by using scalable large dataset and performance is compared.

Key words: Support vector machine, Kernel granular support, machine learning, data distribution, stock market


 
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How to Cite this Article
Pubmed Style

Dr. Shweta Chandrashekhar Dharmadhikari, Sudhir Sharma, Rajendar Kalvala. KERNEL GRANULAR SUPPORT VECTOR METHOD FOR ANALYZING STOCK MARKET ANALYSIS USING SUPERVISED MACHINE LEARNING. JCR. 2020; 7(4): 1765-1769. doi:10.31838/jcr.07.04.291


Web Style

Dr. Shweta Chandrashekhar Dharmadhikari, Sudhir Sharma, Rajendar Kalvala. KERNEL GRANULAR SUPPORT VECTOR METHOD FOR ANALYZING STOCK MARKET ANALYSIS USING SUPERVISED MACHINE LEARNING. http://www.jcreview.com/?mno=116650 [Access: May 30, 2021]. doi:10.31838/jcr.07.04.291


AMA (American Medical Association) Style

Dr. Shweta Chandrashekhar Dharmadhikari, Sudhir Sharma, Rajendar Kalvala. KERNEL GRANULAR SUPPORT VECTOR METHOD FOR ANALYZING STOCK MARKET ANALYSIS USING SUPERVISED MACHINE LEARNING. JCR. 2020; 7(4): 1765-1769. doi:10.31838/jcr.07.04.291



Vancouver/ICMJE Style

Dr. Shweta Chandrashekhar Dharmadhikari, Sudhir Sharma, Rajendar Kalvala. KERNEL GRANULAR SUPPORT VECTOR METHOD FOR ANALYZING STOCK MARKET ANALYSIS USING SUPERVISED MACHINE LEARNING. JCR. (2020), [cited May 30, 2021]; 7(4): 1765-1769. doi:10.31838/jcr.07.04.291



Harvard Style

Dr. Shweta Chandrashekhar Dharmadhikari, Sudhir Sharma, Rajendar Kalvala (2020) KERNEL GRANULAR SUPPORT VECTOR METHOD FOR ANALYZING STOCK MARKET ANALYSIS USING SUPERVISED MACHINE LEARNING. JCR, 7 (4), 1765-1769. doi:10.31838/jcr.07.04.291



Turabian Style

Dr. Shweta Chandrashekhar Dharmadhikari, Sudhir Sharma, Rajendar Kalvala. 2020. KERNEL GRANULAR SUPPORT VECTOR METHOD FOR ANALYZING STOCK MARKET ANALYSIS USING SUPERVISED MACHINE LEARNING. Journal of Critical Reviews, 7 (4), 1765-1769. doi:10.31838/jcr.07.04.291



Chicago Style

Dr. Shweta Chandrashekhar Dharmadhikari, Sudhir Sharma, Rajendar Kalvala. "KERNEL GRANULAR SUPPORT VECTOR METHOD FOR ANALYZING STOCK MARKET ANALYSIS USING SUPERVISED MACHINE LEARNING." Journal of Critical Reviews 7 (2020), 1765-1769. doi:10.31838/jcr.07.04.291



MLA (The Modern Language Association) Style

Dr. Shweta Chandrashekhar Dharmadhikari, Sudhir Sharma, Rajendar Kalvala. "KERNEL GRANULAR SUPPORT VECTOR METHOD FOR ANALYZING STOCK MARKET ANALYSIS USING SUPERVISED MACHINE LEARNING." Journal of Critical Reviews 7.4 (2020), 1765-1769. Print. doi:10.31838/jcr.07.04.291



APA (American Psychological Association) Style

Dr. Shweta Chandrashekhar Dharmadhikari, Sudhir Sharma, Rajendar Kalvala (2020) KERNEL GRANULAR SUPPORT VECTOR METHOD FOR ANALYZING STOCK MARKET ANALYSIS USING SUPERVISED MACHINE LEARNING. Journal of Critical Reviews, 7 (4), 1765-1769. doi:10.31838/jcr.07.04.291