Predicting the Stock Market by Using the Clustering Algorithm in Big Data

  • Authors

    • Veeramalai Sankaradass
    • T Praveen
    • S Padmavathy
    • R Bharathi
    2018-09-01
    https://doi.org/10.14419/ijet.v7i3.34.18719
  • Clustering, Fuzzy set, Stock market, soft clustering, tickers.

  • As one of the essential approach in record mining and pattern popularity, the Possibilistic C-Means (PCM) algorithm has been widely utilized in evaluation and understanding discovery. It is highly difficult for PCM to provide an awesome end result for clustering huge amount of data particularly for heterogeneous data due to the fact that it is designed for smally established dataset. To address this trouble, we suggest a High-Order PCM (HOPCM). It is a set of rules for massive statistics clustering. The main aim of our proposed system is to find the profit or loss for the clients share based on clustering approach for the specific tickers.

     

  • References

    1. [1] X. Wu, X. Zhu, G.-Q. Wu, and W. Ding,â€Data Mining with Big Data,â€IEEE Transactions on Knowledge and Data Engineering, vol. 26, no. 1,pp. 97-107, Jan. 2014.

      [2] Q. Zhang, L. T. Yang, and Z. Chen,â€Deep Computation Model forUnsupervised Feature Learning on Big Data,†IEEE Transactions onServices Computing, vol. 9, no. 1, pp. 161-171, Jan. 2016.

      [3] Z. Xie, S. Wang, and F. L. Chung, â€An EnhancedPossibilistic c-MeansClustering Algorithm EPCM,†Soft Computing, vol. 12, no. 6, pp. 593-611,2008

      [4] R. Krishnapuram and J. M. Keller, “ThePossibilistic c-Means Algorithm:Insights and Recommendations,†IEEE Transactions on Fuzzy Systems,vol. 4, no. 3, pp. 385-393, Aug. 1996.

      [5] Q. Zhang and Z. Chen, â€A Weighted Kernel Possibilistic c-Means Algorithm Based on Cloud Computing For Clustering Big Data,†International Journal of Communication Systems, vol. 27, no. 9, pp. 1378-1391, 2014.

      [6] Q. Zhang, L. T. Yang, and Z. Chen, â€Privacy Preserving Deep Computation Model on Cloud for Big Data Feature Learning,†IEEE Transactions on Computers, vol. 65, no. 5, pp. 1351-1362, May 2016.

      [7] N. R. Pal, K. Pal, J. M. Keller, and J. C. Bezdek,â€A Possibilistic Fuzzyc-Means Clustering Algorithm,†IEEE Transactions on Fuzzy Systems, vol.13, no. 4, pp. 517-530, Aug. 2005.

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  • How to Cite

    Sankaradass, V., Praveen, T., Padmavathy, S., & Bharathi, R. (2018). Predicting the Stock Market by Using the Clustering Algorithm in Big Data. International Journal of Engineering & Technology, 7(3.34), 68-71. https://doi.org/10.14419/ijet.v7i3.34.18719