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E-ISSN : 2249 - 4642 | P-ISSN: 2454 - 4671



The Use of Big Data Mining to Improve the Quality of Forecasting Cash Flows for Companied Listed in the Iraq Stock Exchange

Dr. Zaid Aed Mardan, Noor Hamza Salman, Dhafer Abdullah Hamed

Volume: 12 Issue: 4 2022


This study aims to improve the quality of financial reports by providing information about future cash flows as important information that benefits decision makers. By testing the effect of using the data mining method on improving the quality of big data using one of its tools based on neural network models and fuzzy logic, this method has proven its worth in solving many accounting problems. and to predict future cash flows. Publicly available data and data mining techniques were used to predict the cash flows of the companies listed in the Iraq Stock Exchange, through the use of a scientific model that can be justified in theory and applied practically on actual data, which leads to an increase in the accuracy of forecasting cash flows.

DOI: http://doi.org/10.37648/ijrssh.v12i04.054

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