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To solve a problem in some framework, we can translate it to a different framework where an existing algorithm can be used, if a suitable data translation is known. We study such translations. Can 'Translation of Data' be used to solve a problem in a different framework? a data' solution data solution data Algorithm a cannot be used. In an alternative(More)
We consider the problem of clustering elements that have both content and rela-tional information (e.g. Web-pages, scientific papers, etc.). Standard clustering methods use content information only, while graph clustering methods are usually based on the graph structure. Relatively recently, researchers have proposed to combine both types of information. In(More)
We consider the problem of clustering nodes in a graph, where each node has also internal content (e.g., the Web, where nodes are web pages). In this context we can distinguish two kinds of information: content information and structural information. Standard clustering methods use content information only, while graph clustering methods are usually based(More)
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