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Management Information System for Predicting Quantity Martials

Journal: TEM JOURNAL - Technology, Education, Management, Informatics (Vol.8, No. 4)

Publication Date:

Authors : ;

Page : 1143-1149

Keywords : Prediction; Information system; QS; Neural networks; Machine learning;

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The purpose of this research work is to present in a systematic way the use of the integration method comprising the information system and prediction model towards optimizing the accuracy of Quantity Survey (QS) calculation. The main attention is paid to applied value of the considered methodology, to profitable interpretation and clarification of the results obtained. In order to achieve the goals, information system with the prediction model has been developed and integrated, which predicts the volume of concrete and steel materials using comprehensive experiments over a set of prediction shared algorithms. A new approach to prediction is proposed, based on the use of results of an automatic Information system capable to generate featured to improve the accuracy in the prediction problem. It was experimentally shown that in some cases this approach can be quite effective to significantly improve the quality of prediction and classification.

Last modified: 2019-12-14 00:02:49