Implement Manufacturing Data Mining Techniques

About This Course

At the end of the course, the learner will be able to::

• Identify potential data mining applications for your company.
• Design a data cube and a data schema
• Apply hierarchical clustering technique for quality control.
• Apply K-means clustering technique for quality control
• Measure correlation and dependency between process variables
• Build linear regression model
• Evaluate regression model accuracy and model coefficient significance
• Build ARMA model
• Develop regression mode and ARMA model for semi-con equipment automolding process
• Develop a neural network using feed forward propagation
• Develop a neural network using back propagation learning
• Develop neural network for predicting process yield