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Data mining - Data mining, also known as knowledge-discovery in databases (KDD), is the practice of automatically searching large stores of data for patterns. To do this, data mining uses computational techniques from statistics, machine learning and pattern recognition.
Data stream mining - Data stream mining is the process of extracting knowledge structures from continuous, rapid data records. Examples of data streams include computer network traffic, phone conversations, ATM transactions, web searches and sensor data.
Relational data mining - Relational data mining is a data mining technique for relational
Data Mining Extensions - Data Mining Extensions (DMX) is a query language for Data Mining Models, much like SQL is a query language for relational databases and MDX is a query language for OLAP databases. DMX syntax is more similar to SQL then MDX.
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