The desire for definitive data and the semantic web drive for inference over heterogeneous data sources requires co-reference resolution to be performed on those data. In particul...
Large clusters of mutual dependence have long been regarded as a problem impeding comprehension, testing, maintenance, and reverse engineering. An effective visualization can aid ...
We consider the problem of relating itemsets mined on binary attributes of a data set to numerical attributes of the same data. An example is biogeographical data, where the numer...
Gemma C. Garriga, Hannes Heikinheimo, Jouni K. Sep...
In this paper, an easily implemented semi-supervised graph learning method is presented for dimensionality reduction and clustering, using the most of prior knowledge from limited...
Image clustering, an important technology for image processing, has been actively researched for a long period of time. Especially in recent years, with the explosive growth of th...
Bin Gao, Tie-Yan Liu, Tao Qin, Xin Zheng, QianShen...