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Data mining uses methods from artificial intelligence in a database context to discover previously unknown patterns. As such, the methods are usually unsupervised. It is closely related but not identical to machine learning. Key tasks of data-mining are cluster analysis, outlier detection and mining of association rules.

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Which is the state of the art regarding methods for Association rule learning?

I have a set of data about which I would like as a first step, discover some interesting or frequent relationships. For this I know that there are several algorithms, like association or sequence lear …
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