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    The implementation of predictive graph extrapolation method

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    Abstract,Acknowledgement.pdf (215.1Kb)
    Introduction.pdf (104.8Kb)
    Literature Review.pdf (413.7Kb)
    Methodology.pdf (474.8Kb)
    Results and Discussion.pdf (534.9Kb)
    Conclusion and Recommendation.pdf (100.0Kb)
    Reference and Appendix.pdf (114.0Kb)
    Date
    2015-06
    Author
    Abdul Halim, Suhaimi
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    Abstract
    This project will implement the predictive method for graph extrapolation in time series data. The project compared the performance between predictive method of Kalman filter and Holt-Winters with estimating technique. The project also shows that the estimating technique is not realiableto forecast future value and may lead to misleading decision. The predictive method is a better option for forecasting data which can lead to better desicion making. The predictive method has smaller error compared to estimating technique.
    URI
    http://dspace.unimap.edu.my:80/xmlui/handle/123456789/41743
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    • School of Computer and Communication Engineering (FYP) [310]

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