Time Series Prediction Models For Real World Applications /
Tawfk Ahmed Mohamed Kotb
Time Series Prediction Models For Real World Applications / نماذج للتنبؤ فى المتسلسلات الزمنية و إستخدامها فى التطبيقات العملية Tawfk Ahmed Mohamed Kotb ; Supervised Neamat Farouk Elgayar , Hazem Abdelazim - Cairo : Tawfk Ahmed Mohamed Kotb , 2013 - 68 Leaves : charts ; 30cm
Thesis (M.Sc.) - Cairo University - Faculty of Computers and Information - Department of Information Technology
Time series analysis and forecasting has proven to be a very useful field under the Data mining domain. A wide Varity of real application use time series analysis and forecasting to enhance its outcome.The presence of missing data in time series is big impediment to the successful performance of forecasting models, as it leads to a significant reduction of useful data. Many statistical and machine learning methods are used to estimate missing data.
Co-training Missing data Time series
Time Series Prediction Models For Real World Applications / نماذج للتنبؤ فى المتسلسلات الزمنية و إستخدامها فى التطبيقات العملية Tawfk Ahmed Mohamed Kotb ; Supervised Neamat Farouk Elgayar , Hazem Abdelazim - Cairo : Tawfk Ahmed Mohamed Kotb , 2013 - 68 Leaves : charts ; 30cm
Thesis (M.Sc.) - Cairo University - Faculty of Computers and Information - Department of Information Technology
Time series analysis and forecasting has proven to be a very useful field under the Data mining domain. A wide Varity of real application use time series analysis and forecasting to enhance its outcome.The presence of missing data in time series is big impediment to the successful performance of forecasting models, as it leads to a significant reduction of useful data. Many statistical and machine learning methods are used to estimate missing data.
Co-training Missing data Time series