DMQL stand for Data Mining Query Language.

It specifies clauses and syntaxes for performing different types of data mining tasks for example data classification, data clustering and mining association rules. Also it uses SQL-like syntaxes to mine databases.

It was proposed by Han, Fu, Wang, et al. for the DBMiner data mining system. Although, it was based on the structured Data Mining Query Language. These query languages are designed to support ad hoc and interactive data mining. Also, it provides commands for specifying primitives.

We can use Data Mining Query Language to work with databases and data warehouses as well. We can also use it to define data mining tasks. Particularly we examine how to define data warehouses and data marts in DMQL.

Rajiv Shah
Sep 25, 2021
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