Redundancy analysis (RA) is a versatile technique used to predict multivariate criterion variables from multivariate predictor variables. The reduced-rank feature of RA captures r...
Peculiarity rules are a new type of useful knowledge that can be discovered by searching the relevance among peculiar data. A main task in mining such knowledge is peculiarity iden...
Muneaki Ohshima, Ning Zhong, Yiyu Yao, Chunnian Li...
Modern database systems mostly support representation and retrieval of data belonging to different scripts and different languages. But the database functions are mostly designed ...
In our days knowledge extraction methods are able to produce artifacts (also called patterns) that concisely represent data. Patterns are usually quite heterogeneous and require a...
We present two algorithms for learning large-scale gene regulatory networks from microarray data: a modified informationtheory-based Bayesian network algorithm and a modified asso...
Zan Huang, Jiexun Li, Hua Su, George S. Watts, Hsi...