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Refers to a subset of data mining concerned with extracting information from data in the form of text by recognizing patterns. The goal of text mining is often to classify a given document into one of a number of categories in an automatic way, and to improve this performance dynamically, making it an example of machine learning. One example of this type of text mining are spam filters used for email.
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Log file analysis: extracting information part from value part
I'm trying to build a data set on several log files of one of our products.
The different log files have their own layout and own content; I successfully grouped them together, only one step remainin …