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6 32 overview azure machine learning this article presents a reference implementation of a customer churn analysis project

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in machine learning naive bayes classifiers are a family of simple probabilistic classifiers based on applying bayes' theorem with strong naive independence assumptions between the features naive bayes has been studied

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success stories in data/text mining 1

this document presents a collection of successful implementations of data/text mining it consists mainly of excerpts from various sources including vendors literature and web sites general data/text mining web sites and

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3 one way to aid users in understanding the models is to visualize them mineset 21 for example is a data mining tool that integrates data mining and visualization very tightly models built can be viewed and interacted with

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in order to determine how data mining techniques dmt and their applications have developed during the past decade this paper reviews data mining techniques and their applications and development through a survey of literature

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in machine learning support vector machines svms also support vector networks are supervised learning models with associated learning algorithms that analyze data used for classification and regression analysis given a set of

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