Please use this identifier to cite or link to this item: http://dspace.unimap.edu.my:80/xmlui/handle/123456789/41743
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dc.contributor.authorAbdul Halim, Suhaimi-
dc.date.accessioned2016-05-30T04:22:49Z-
dc.date.available2016-05-30T04:22:49Z-
dc.date.issued2015-06-
dc.identifier.urihttp://dspace.unimap.edu.my:80/xmlui/handle/123456789/41743-
dc.descriptionAccess is limited to UniMAP community.en_US
dc.description.abstractThis 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.isoenen_US
dc.publisherUniversiti Malaysia Perlis (UniMAP)en_US
dc.subjectGraph extrapolationen_US
dc.subjectPredictive methoden_US
dc.subjectKalman filteren_US
dc.subjectHolt-Wintersen_US
dc.titleThe implementation of predictive graph extrapolation methoden_US
dc.typeLearning Objecten_US
dc.contributor.advisorDr. Said Amirul Anwar B. Ab. Hamid@Ab.Majiden_US
dc.publisher.departmentSchool of Computer and Communication Engineeringen_US
Appears in Collections:School of Computer and Communication Engineering (FYP)

Files in This Item:
File Description SizeFormat 
Abstract,Acknowledgement.pdf215.11 kBAdobe PDFView/Open
Introduction.pdf104.89 kBAdobe PDFView/Open
Literature Review.pdf413.74 kBAdobe PDFView/Open
Methodology.pdf474.89 kBAdobe PDFView/Open
Results and Discussion.pdf534.98 kBAdobe PDFView/Open
Conclusion and Recommendation.pdf100.06 kBAdobe PDFView/Open
Reference and Appendix.pdf114.09 kBAdobe PDFView/Open


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