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Furthermore, CENPSOA has been designed to be effectively utilized in data mining applications.
This chapter discusses how data can be utilized in data mining to support a business model, irrespective of the data source.
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Companies and the government should not engage in data mining.
Frequent pattern mining is an essential theme in data mining.
Discretization is a data reduction preprocessing technique in data mining.
Outlier mining is one of the main approaches used in data mining.
Sequential pattern and inter-transaction pattern mining have long been important issues in data mining research.
Association rule mining (ARM) is an important task in data mining with many practical applications.
Classification is an important task in data mining.
We invented best practices in data mining and investigative techniques.
Trends and research frontiers in data mining are focused on.
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