Background: Massive text mining of the biological literature holds great promise of relating disparate information and discovering new knowledge. However, disambiguation of gene s...
Bob J. A. Schijvenaars, Barend Mons, Marc Weeber, ...
Graph clustering (also called graph partitioning) -- clustering the nodes of a graph -- is an important problem in diverse data mining applications. Traditional approaches involve...
Interdisciplinary collaborations have generated huge impact to society. However, it is often hard for researchers to establish such cross-domain collaborations. What are the patte...
Large scale data analysis and mining activities, such as identifying interesting trends, making unusual patterns to stand out and verifying hypotheses, require sophisticated infor...
The WEBSOM methodology for building very large text archives has a very slow method for extracting meaningful unit labels. This is because the method computes for the relative fre...
Arnulfo P. Azcarraga, Teddy N. Yap Jr., Tat-Seng C...