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An Improved Agile Framework For Implementing Data Science Initiatives in the Government

机译:在政府中实施数据科学计划的改进敏捷框架

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Implementing data mining projects in governmental organizations is emerging in the Middle East. The literature has been showing that there is a significant gap between the problems defined by the research in data mining and the problems in real world projects. The gap is to the level of semantics between the data scientists and the business users. Trying to fill this gap, we have developed an improved Agile data mining framework to fulfill the government business objectives and needs. The previous works had been claiming that handling such project is not yet mature in the region. For this an Agile implementation framework is required. We are also proposing a systematic way for identifying business problems as part of the framework. The process is Agile, so it would start from investigating the data set dimensions to identify business problems. It also allows early Business people cooperation with data scientist. We've applied the proposed framework in one of the Middle East government organizations. The business team and the data scientists have been showing their satisfaction regarding the results of using the proposed framework. The proposed framework have helped both business and data scientist to implement their first initiative in data mining. The proposed framework also helped in efficiently mapping the project with the core business objectives and problems using real world dataset.
机译:在中东,政府组织中正在实施数据挖掘项目。文献表明,在数据挖掘研究中定义的问题与现实世界项目中的问题之间存在很大的差距。差距在于数据科学家和业务用户之间的语义级别。为了填补这一空白,我们开发了一种改进的敏捷数据挖掘框架来满足政府的业务目标和需求。先前的工作声称该地区的此类项目的处理尚未成熟。为此,需要一个敏捷的实施框架。我们还提出了一种系统的方法来识别业务问题,并将其作为框架的一部分。该过程是敏捷的,因此它将从调查数据集维度以识别业务问题开始。它还允许早期的商人与数据科学家合作。我们已经在中东一个政府组织中应用了提议的框架。业务团队和数据科学家一直对使用建议框架的结果表示满意。拟议的框架已帮助商业和数据科学家实施他们在数据挖掘方面的第一个计划。拟议的框架还有助于使用实际数据集有效地将项目与核心业务目标和问题进行映射。

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