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Knowledge Discovery meets Linked APIs
2013
Extended Semantic Web Conference
Knowledge Discovery and Data Mining (KDD) is a very wellestablished research eld with useful techniques that explore patterns and regularities in large relational, structured and unstructured datasets. Theoretical and practical development in this eld have led to useful and scalable solutions for the tasks of pattern mining, clustering, graph mining, and predictions. In this paper, we demonstrate that these approaches represent great potential to solve a series of problems and make further
dblp:conf/esws/HoxhaMK13
fatcat:pmesdnhr5zexfpgp54hp3nkbfy