Privacy-preserving data mining is an important issue in the areas of data mining and security. In this paper, we study how to conduct association rule mining, one of the core data...
Data mining methods are designed for revealing significant relationships and regularities in data collections. Regarding spatially referenced data, analysis by means of data minin...
The availability of large-scale protein-protein interaction data provides us with many opportunities to study molecular pathways involving proteins. In this paper we propose to mi...
Martin Farach-Colton, Yang Huang, John L. L. Woolf...
High-quality annotation of biological data is central to bioinformatics. Annotation using terms from ontologies provides reliable computational access to data. The Gene Ontology (...
Michael Bada, Daniele Turi, Robin McEntire, Robert...
Discriminative sequential learning models like Conditional Random Fields (CRFs) have achieved significant success in several areas such as natural language processing, information...
Xuan Hieu Phan, Minh Le Nguyen, Tu Bao Ho, Susumu ...