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http://dspace.unimap.edu.my:80/xmlui/handle/123456789/41743
Full metadata record
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Abdul Halim, Suhaimi | - |
dc.date.accessioned | 2016-05-30T04:22:49Z | - |
dc.date.available | 2016-05-30T04:22:49Z | - |
dc.date.issued | 2015-06 | - |
dc.identifier.uri | http://dspace.unimap.edu.my:80/xmlui/handle/123456789/41743 | - |
dc.description | Access is limited to UniMAP community. | en_US |
dc.description.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. | en_US |
dc.language.iso | en | en_US |
dc.publisher | Universiti Malaysia Perlis (UniMAP) | en_US |
dc.subject | Graph extrapolation | en_US |
dc.subject | Predictive method | en_US |
dc.subject | Kalman filter | en_US |
dc.subject | Holt-Winters | en_US |
dc.title | The implementation of predictive graph extrapolation method | en_US |
dc.type | Learning Object | en_US |
dc.contributor.advisor | Dr. Said Amirul Anwar B. Ab. Hamid@Ab.Majid | en_US |
dc.publisher.department | School of Computer and Communication Engineering | en_US |
Appears in Collections: | School of Computer and Communication Engineering (FYP) |
Files in This Item:
File | Description | Size | Format | |
---|---|---|---|---|
Abstract,Acknowledgement.pdf | 215.11 kB | Adobe PDF | View/Open | |
Introduction.pdf | 104.89 kB | Adobe PDF | View/Open | |
Literature Review.pdf | 413.74 kB | Adobe PDF | View/Open | |
Methodology.pdf | 474.89 kB | Adobe PDF | View/Open | |
Results and Discussion.pdf | 534.98 kB | Adobe PDF | View/Open | |
Conclusion and Recommendation.pdf | 100.06 kB | Adobe PDF | View/Open | |
Reference and Appendix.pdf | 114.09 kB | Adobe PDF | View/Open |
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