Research Project
Grant-in-Aid for Young Scientists (B)
The aim of this study was to develop a new concept mining method for multi-class dataset. The features of this method are that 1) concepts appearing specifically in each class are mined using the new biclustering method for multi-class data and that 2) only meaningful concepts are extracted on the basis of an ontology database. This study hereby made it possible not only to discover differentially-expressed useful concepts among classes, but also to reduce user's workload in selecting only necessary concepts from large amount of output concepts.
All 2014 2013 2012
All Journal Article (1 results) (of which Peer Reviewed: 1 results) Presentation (28 results) Book (2 results)
International journal of computer applications
Volume: Vol.63, No.3 Pages: 14-17
