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A Fuzzy Logic Based Machine Learning Tool for Supporting Big Data Business Analytics in Complex Artificial Intelligence Environments

机译:基于模糊的基于机器学习工具,用于支持复杂人工智能环境中的大数据业务分析

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Business analytics use techniques from data science, data mining, artificial intelligence (especially, machine learning), mathematics and statistics to gain insights and understanding on the performance of business processes. The gained insights and knowledge help driving the business planning. As employees play important roles in the business process, having a tool to classify and predict their wage levels is desirable. Such classification and prediction enables the public or private sector to offer competitive wages for recruiting and retaining employees. In this paper, we present a tool for classifying and predicting wage levels. It incorporates fuzzy logic into a machine-learning tool to support business analytics on big data. Evaluation results show the applicability of our tool for classification and prediction of wages levels in the business world, which in turn supports business analytics in complex artificial intelligence environments.
机译:业务分析使用数据科学,数据挖掘,人工智能(特别是机器学习),数学和统计数据,以获得对业务流程绩效的见解和理解。获得的见解和知识有助于推动业务规划。随着员工在业务流程中发挥重要作用,具有分类和预测其工资水平的工具是可取的。此类分类和预测使公共或私营部门能够为招聘和留住员工提供竞争性工资。在本文中,我们提出了一种用于分类和预测工资水平的工具。它将模糊逻辑包含到机器学习工具中,以支持大数据的业务分析。评估结果表明我们的工具对商业世界的工资水平分类和预测的适用性,这反过来支持复杂人工智能环境中的业务分析。

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