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Oct 01, 2000· In order to mine the structured data in the customer service database, a data mining process based on the data mining tool, DBMiner was proposed. To support machine fault diagnosis, a data mining technique based on the integration of neural network, case-based reasoning, and rule-based reasoning is incorporated.

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Jul 31, 2019· In this Data Science R Project series, we will perform one of the most essential applications of machine learning – Customer Segmentation. In this project, we will implement customer segmentation in R. Whenever you need to find your best customer, customer segmentation is the ideal methodology.

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Aug 15, 2016· ML to Drive Customer Retention. Machine Learning has the ability to quickly and effectively analyze your customer data for those complex patterns. Machine Learning and algorithms like Gradient Boost Trees or Generalized Linear Machines can understand highly dimensional data reliably.

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Disney data scientists will certainly use versions of association rule mining to understand statistically independent data. They will probably use machine-learning techniques to mine this wealth of data and discover things about food service, line length, migration .

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Aug 28, 2018· Classifying data using Support Vector Machines(SVMs) in R Last Updated: 28-08-2018 In machine learning, Support vector machine(SVM) are supervised learning models with associated learning algorithms that analyze data used for classification and regression analysis.

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Apr 18, 2019· A quick and practical read on how ML algorithms can be used to model and predict human buying behavior. During Christmas break, I started reading a book called 'Misbehaving: The making of ...

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Dec 29, 2009· Vending Machines For Data Mining : Coca Cola Case Study This morning I was watching a TV show on CNBC about the fantastic success story of Coca Cola. This show was emphasizing on the new challenges that Coca Cola had to face while becoming one of the largest company in the history.

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Jul 05, 2020· Artificial Intelligence in customer service is at the peak of its hype cycle. While the web is full of articles on chat bots and conversational interfaces, AI and its subdomains like machine learning can improve end to end customer experience. We explore 11 real-life AI use cases in customer care

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