@conference {Maqboul2020, title = {Contribution of Artificial Neural Network in Predicting Completeness Through the Impact and Complexity of its Improvement}, booktitle = {ACM International Conference Proceeding Series}, year = {2020}, note = {cited By 0}, abstract = {The technological evolution and the immensity of the data produced, circulated into company makes these data, the real capital of the companies to the detriment of the customers. The erroneous data put the knockout to relationships with customers, the company must address this problem and identify the quality projects on which it must make an effort. In this article, we will present an approach based on qualitative and quantitative analysis to help the decision-makers to target data by its impacts and complexities of process improvement. The Qualitative study will be a survey and a quantitative to learn from survey data to decide the prediction and the completeness of data. {\textcopyright} 2020 ACM.}, keywords = {Decision makers, Decision making, Erroneous datum, Information systems, Information use, Neural networks, Process Improvement, Qualitative and quantitative analysis, Qualitative study, Survey data, Surveys, Technological evolution}, doi = {10.1145/3386723.3387850}, url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85123040935\&doi=10.1145\%2f3386723.3387850\&partnerID=40\&md5=222e383506f6fed754588124c4a4be60}, author = {Maqboul, J. and Jaouad, B.B.} } @conference {Maqboul2018, title = {An approach of data-driven framework alignment to knowledge base}, booktitle = {ACM International Conference Proceeding Series}, year = {2018}, doi = {10.1145/3230905.3230932}, url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85053484574\&doi=10.1145\%2f3230905.3230932\&partnerID=40\&md5=b0a8e6bad66d7d889e766b86f11e7217}, author = {Maqboul, J. and Bounabat, B.} } @article {Maqboul2018108, title = {Towards a completeness prediction based on the complexity and impact}, journal = {Advances in Intelligent Systems and Computing}, volume = {640}, year = {2018}, note = {cited By 0}, pages = {108-116}, abstract = {As long as companies arrived at a maturity, where business processes have stagnated or even the diversity of business processes, research is directed towards the improvement of data quality, that is to say, improving dimensions quality for data, the first problem is to check if this improvement in one dimension will be held or not given its cost and its impact, the second to find a centrality to improve total quality without penalizing one dimension our current paper addresses the first problem to a dimension that is completeness. This improvement will be have a cost that we cannot calculate clearly, but we can measure her complexity, because the complexity increases with the cost, the approach here is implemented under a Java EE environment. {\textcopyright} Springer International Publishing AG 2018.}, doi = {10.1007/978-3-319-64719-7_10}, url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85037867929\&doi=10.1007\%2f978-3-319-64719-7_10\&partnerID=40\&md5=475fdbd8200152d4988f5585ce23156b}, author = {Maqboul, J. and Bounabat, B.} } @article {Maqboul2018108, title = {Towards a completeness prediction based on the complexity and impact}, journal = {Advances in Intelligent Systems and Computing}, volume = {640}, year = {2018}, pages = {108-116}, doi = {10.1007/978-3-319-64719-7_10}, url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85037867929\&doi=10.1007\%2f978-3-319-64719-7_10\&partnerID=40\&md5=475fdbd8200152d4988f5585ce23156b}, author = {Maqboul, J. and Bounabat, B.} }