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With the growing amount of data available in today's world, the emphasis is laid on the automatic configuration of data analysis - metal earning. This paper elaborates one of the metal earning sub problems, the data mining method recommendation. Based on a metric over the data features called metadata, we have proposed a solution exploiting clustering of datasets. The agglomerative algorithm is used...
An important and useful task of a social network analysis is partitioning of its users into clusters. The structure of a social network can be naturally modeled by a directed graph. This approach transforms clustering of the users into searching for highly connected sub graphs in such a social network model. Many different approaches and algorithms for this problem exist, one of the possibilities...
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