Data preprocessing is a crucial step in the data mining process, which involves transforming raw data into a clean dataset. Before any mining can occur, your data must be standardized, cleaned ...

Learn how to discretize data in a mining model, which involves putting values into buckets so that there are a limited number of possible states. In these cases, you can discretize the data in the ...

Discretization algorithms serve as a critical pre-processing step within data mining and machine learning, transforming continuous attributes into discrete categories to enhance the ...

Data preprocessing is an important step in data mining. It is used to resolve various types of problem in a large dataset in order to produce quality data. It consists of four steps, namely, data ...

Association rule mining is an important data mining technique that help discover interesting attribute relationships that are useful for decision making. Most association rule mining methods use ...