Role of Dietary Sources of Unsaturated Fatty Acid on Growth Performance, Fat Deposition and Meat Quality of Broiler: A Review

  • Authors

    • J. Khatun
    • T. C. Loh
    • H. Akit
    • H. L. Foo
    • R. Mohamad
    2018-12-03
    https://doi.org/10.14419/ijet.v7i4.38.27892
  • Oil, Unsaturated Fatty Acid, Fat Deposition, Performance and Meat Quality

  • Abstract

    The aims of this paper were to provide a comprehensive review of classification techniques and their alternative approaches in data mining. Classification is a data mining technique that assigns categories to a collection of data to aide in more accurate predictions and analyses. It is one of the several methods intended to make the analysis of very large datasets effective. The goal of classification is to accurately predict the target class for each case in the data. One of the classification approaches is the ensemble method. In recent years, the usage of ensemble method in medical application has been increasing. Not only in medical areas, it can also help researchers to solve modem problems in many fields like machine learning, data mining, and other related areas.

     

     

     

  • References

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  • How to Cite

    Khatun, J., C. Loh, T., Akit, H., L. Foo, H., & Mohamad, R. (2018). Role of Dietary Sources of Unsaturated Fatty Acid on Growth Performance, Fat Deposition and Meat Quality of Broiler: A Review. International Journal of Engineering & Technology, 7(4.38), 1429-1431. https://doi.org/10.14419/ijet.v7i4.38.27892

    Received date: 2019-02-24

    Accepted date: 2019-02-24

    Published date: 2018-12-03