While traditional research on text clustering has largely focused on grouping documents by topic, it is conceivable that a user may want to cluster documents along other dimension...
Stochastic gradient descent (SGD) uses approximate gradients estimated from subsets of the training data and updates the parameters in an online fashion. This learning framework i...
In this short note we present a recommendation system for automatic retrieval of broken Web links using an approach based on contextual information. We extract information from th...
Many Web-based geographic applications have been developed in various domains, such as tourism, education, surveillance and military. However, developing such applications is a cu...
KDD is a complex and demanding task. While a large number of methods has been established for numerous problems, many challenges remain to be solved. New tasks emerge requiring th...
Ingo Mierswa, Michael Wurst, Ralf Klinkenberg, Mar...