Manufacturing enterprises have been collecting and storing more and more current, detailed and accurate production relevant data. The data stores offer enormous potential as source of new knowledge, but the huge amount of data and its complexity far exceeds the ability to reduce and analyze data without the use of automated analysis techniques. This paper provides a brief introduction into knowledge discovery from databases and presents the methology for data mining in time series. The relevancy of data mining for manufacturing shall be depicted. Data Mining for Manufacturing: Preventive Maintenance, Failure Prediction, Quality Control

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