Successful Forecasting for Knowledge Discovery by
Statistical Methods
Y. Alsultanny. Information Technology: New Generations (ITNG), 2012
Ninth International Conference on, page 584--588. (April 2012)
DOI: 10.1109/ITNG.2012.160
Abstract
The importance of statistical forecasting is in its
ability to discover hidden knowledge from databases.
Forecasting is used successfully in many sectors. In
this paper, forecasting is implemented in the
educational sector, three time series algorithms are
used, namely-simple moving average forecasting,
weighted average forecasting and linear trend
forecasting. Six secondary schools (from 7th to 9th)
were selected in this study and data was collected for
9 years. The results indicate that the linear trend
forecasting was the most accurate in predicting the
school success ratio compared with the simple moving
average forecasting and weighted average forecasting,
as far as mean absolute error, mean square error and
absolute percentage error are concerned.
%0 Conference Paper
%1 alsutanny-forecasting-kdd-statistical-2012
%A Alsultanny, Y.
%B Information Technology: New Generations (ITNG), 2012
Ninth International Conference on
%D 2012
%K forecasting prediction
%P 584--588
%R 10.1109/ITNG.2012.160
%T Successful Forecasting for Knowledge Discovery by
Statistical Methods
%U http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=6209215
%X The importance of statistical forecasting is in its
ability to discover hidden knowledge from databases.
Forecasting is used successfully in many sectors. In
this paper, forecasting is implemented in the
educational sector, three time series algorithms are
used, namely-simple moving average forecasting,
weighted average forecasting and linear trend
forecasting. Six secondary schools (from 7th to 9th)
were selected in this study and data was collected for
9 years. The results indicate that the linear trend
forecasting was the most accurate in predicting the
school success ratio compared with the simple moving
average forecasting and weighted average forecasting,
as far as mean absolute error, mean square error and
absolute percentage error are concerned.
@inproceedings{alsutanny-forecasting-kdd-statistical-2012,
abstract = {The importance of statistical forecasting is in its
ability to discover hidden knowledge from databases.
Forecasting is used successfully in many sectors. In
this paper, forecasting is implemented in the
educational sector, three time series algorithms are
used, namely-simple moving average forecasting,
weighted average forecasting and linear trend
forecasting. Six secondary schools (from 7th to 9th)
were selected in this study and data was collected for
9 years. The results indicate that the linear trend
forecasting was the most accurate in predicting the
school success ratio compared with the simple moving
average forecasting and weighted average forecasting,
as far as mean absolute error, mean square error and
absolute percentage error are concerned.},
added-at = {2016-04-21T13:10:10.000+0200},
author = {Alsultanny, Y.},
biburl = {https://www.bibsonomy.org/bibtex/273f85e170d680600ac2a4be94d98b9c3/mhwombat},
booktitle = {Information Technology: New Generations (ITNG), 2012
Ninth International Conference on},
doi = {10.1109/ITNG.2012.160},
interhash = {ca956fce3d1f04af5b977faccb1dde50},
intrahash = {73f85e170d680600ac2a4be94d98b9c3},
keywords = {forecasting prediction},
month = apr,
pages = {584--588},
timestamp = {2016-07-12T19:25:30.000+0200},
title = {Successful Forecasting for Knowledge Discovery by
Statistical Methods},
url = {http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=6209215},
year = 2012
}