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Rule Mining and Prediction Using the Flek Machine - A New Machine Learning Engine

机译:使用Flek机器进行规则挖掘和预测-一种新的机器学习引擎

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One of the exciting areas in data science is the development of new machine learning engines to do data mining, analytics and prediction. In this paper, we introduce the "Flek Machine" - an innovative AI engine that leams a Bayes Net model from binary data. FlekML, the core machine learning engine inside, builds a rich model that can be manipulated by the Toolkit to do rule mining, discover associations and association maps as well as make predictions. The Flek Machine enables binary, multi-class and multi-label classifications all on the fly and over the same built model. This tool has several use cases such as customer behaviour analysis, predicting equipment failure in IoT. or detecting drug combinations that produce side effects.
机译:数据科学中令人兴奋的领域之一是开发新的机器学习引擎来进行数据挖掘,分析和预测。在本文中,我们介绍了“ Flek Machine”-一种创新的AI引擎,该引擎从二进制数据中提取了贝叶斯网络模型。 FlekML是内部的核心机器学习引擎,它构建了一个丰富的模型,可由Toolkit操纵该模型来进行规则挖掘,发现关联和关联图以及进行预测。 Flek Machine可以在同一构建模型上即时进行二进制,多类和多标签分类。该工具具有多个用例,例如客户行为分析,预测物联网中的设备故障。或检测产生副作用的药物组合。

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