Data Mining using Random Forests to Predict the Presence of Cylinder Bands in Rotogravure Printing

This paper concerns an effective data mining strategy for the data set of cylinder bands in rotogravure printing using random forests. Among many data mining algorithms, random forests can be a good data mining tool for the data sets that have some bad factors for data mining like errors in data and missing data as well as irrelevant attributes. A clever strategy to utilize the property of the data set as well as the algorithm is suggested to find successful results.