Abstraction and Data Mining with Visualization of Laboratory Data Katsuhiko Takabayashi a , Tu Bao Ho b , Hideto Yokoi c , Trong Dung Nguyen b , Saori Kawasaki b , Si Quang Le b , ...
Katsuhiko Takabayashi, Tu Bao Ho, Hideto Yokoi, Tr...
Biosequences typically have a small alphabet, a long length, and patterns containing gaps (i.e., “don’t care”) of arbitrary size. Mining frequent patterns in such sequences ...
Many real life sequence databases, such as customer shopping sequences, medical treatment sequences, etc., grow incrementally. It is undesirable to mine sequential patterns from s...
Knowledge discovery systems extract knowledge from data that can be used for making prediction about incomplete data items. Utility is a measure of the usefulness of the discovere...
Finding recurring residue packing patterns, or spatial motifs, that characterize protein structural families is an important problem in bioinformatics. To this end, we apply a nov...
Jun Huan, Wei Wang 0010, Deepak Bandyopadhyay, Jac...