Аннотация

In this paper, we present the foundations for mining frequent tri- concepts, which extend the notion of closed itemsets to three- dimensional data to allow for mining folksonomies. We provide a formal definition of the problem, and present an efficient algorithm for its solution as well as experimental results on a large real-world example. this kind of data. In Section 3, we discuss Triadic Formal Concept Analysis and provide in Section 4 a formal definition of the problem of mining frequent triadic formal concepts; in Section 5, we introduce our T RIAS algorithm. Section 6 comes up with a real-world application, the folksonomy of the bookmark sharing system del.icio.us, and concludes with experiments on the effectiveness and efficiency of the algorithm.

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