Guy Danon

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Thanks to the web-related and other advanced technologies, tex-tual information is increasingly being stored in digital form and posted online. Automatic methods to analyze such textual information are becoming inevitable. Many of those methods are based on quantitative text features. Analysts face the challenge to choose the most appropriate features for(More)
In this paper, we present a data mining based methodology for optimizing the outcome of a batch manufacturing process. Predictive data mining techniques are applied to a multi-year set of manufacturing data with the purpose of reducing the variation of a crystal manufacturing process, which suffers from frequent fluctuations of the average outgoing yield.(More)
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