Finding latent patterns in high dimensional data is an important research problem with numerous applications. Existing approaches can be summarized into 3 categories: feature selec...
The constructions of Haar wavelet synopses for large data sets have proven to be useful tools for data approximation. Recently, research on constructing wavelet synopses with a gua...
Chaoyi Pang, Qing Zhang, David P. Hansen, Anthony ...
Scientific data in the life sciences is distributed over various independent multi-format databases and is constantly expanding. We discuss a scenario where a life science research...
Background: Providing for long-term and consistent public access to scientific data is a growing concern in biomedical research. One aspect of this problem can be demonstrated by ...
Nicholas R. Anderson, Peter Tarczy-Hornoch, Roger ...
Mobile communication data analysis has been often used as a background application to motivate many data mining problems. However, very few data mining researchers have a chance t...
Tengjiao Wang, Bishan Yang, Jun Gao, Dongqing Yang...