: We present a practical approach to nonparametric cluster analysis of large data sets. The number of clusters and the cluster centres are automatically derived by mode seeking wit...
Driven by the success of the Linked Open Data initiative today’s Semantic Web is best characterized as a Web of interlinked datasets. Hand in hand with this structure new challen...
Andreas Schwarte, Peter Haase, Katja Hose, Ralf Sc...
Given a set P of products, a set O of customers, and a product p P, a bichromatic reverse skyline query retrieves all the customers in O that do not find any other product in P t...
Xiaobing Wu, Yufei Tao, Raymond Chi-Wing Wong, Lin...
Clustering is a data mining problem which finds dense regions in a sparse multi-dimensional data set. The attribute values and ranges of these regions characterize the clusters. ...
The objective of data reduction is to obtain a compact representation of a large data set to facilitate repeated use of non-redundant information with complex and slow learning alg...