@article{MAKHILLJEAS2018131616709,
    title = {Comparing Risks Assessment in Construction Projects using Two Program},
    journal = {Journal of Engineering and Applied Sciences},
    volume = {13},
    number = {16},
    pages = {6730-6736},
    year = {2018},
    issn = {1816-949x},
    doi = {jeasci.2018.6730.6736},
    url = {https://makhillpublications.co/view-article.php?issn=1816-949x&doi=jeasci.2018.6730.6736},
    author = {Hafeth,Raquim N. and},
    keywords = {Risk management,decision tree,KNIME,WEKA,classification,language},
    abstract = {Risk management is defined as the process that enables the analysis and managing the risk related
to the project and its aim to reduce the risk that threatens the goal of the project. The aim of this study is to
analyze the risk in the construction projects using decision tree in two different programs, WEKA and KNIME
then compare the accuracy of these programs using the same technique. The methodology of the research
includes two part, the first part includes a questionnaire with a group of experts, engineers, managers,
university professors and specialists to identify the reasons behind cost overruns in the construction projects
while the second part of the results involve using decision tree algorithm in two programs, WEKA and KNIME
The results show in the period of the (2006-2007) show more risks than another period that return to the reason
that this period categorizes with unstable conditions of the country due to the effect of the terrorism The
decision tree shows very good accuracy in both the programs WEKA and KNIME that means the two program
can be used for the classification as the two program are written in the same language and the same parameter
used in in the both program.}
    }