Younis  Kadthem Hameed, Wahab  S. Mohammed, Fadhel  Kadhem Zaidan, 
    Data Mining based Prediction of Unemployment Rate Data by using Radial
Basis Function Neural Network (RBFNN),
    Journal of Engineering and Applied Sciences,
    Volume 14,Issue 17,
    2019,
    Pages 6240-6244,
    ISSN 1816-949x,
    jeasci.2019.6240.6244,
    (https://makhillpublications.co/view-article.php?doi=jeasci.2019.6240.6244)
    Abstract: Data mining is one of the knowledge discovery steps in database in which modeling techniques are
applied. In this study, the unemployment rate in the Iraqi database prediction model is determined according
to the RBF neural network where the principle and algorithm of the RBF is used. Our study also predicts the
future unemployment rate in Iraq. To increase the efficiency of mining process, some pre-processing needs to
be done to the data. Experimental results showed the good accuracy when applied to the adjust data.
    Keywords: Radial basis function;predict;data mining;database;predicts;mining process