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Data mining is described as a process of discover or extracting interesting knowledge from large amounts of data stored in multiple data sources such as file systems, databases, data warehouses and etc. This knowledge contributes a lot of benefits to business strategies, scientific, medical research, governments and individual.
Data is collected explosively every minute through business transactions and stored in relational database systems. In order to provide insight about the business processes, data warehouse systems have been built to provide analytical reports for business users to make decisions. Data is now stored in database and/or data warehouse system so data mining system should be designed to decouple or couple with these systems. This question leads to four possible architectures of a data mining system as follows:
There are three tiers in the tight-coupling data mining architecture: