: Temporal data mining is concerned with the analysis of temporal data and finding temporal patterns, regularities, trends, clusters in sets of temporal data. Wavelet transform pro...
The computation of covariance and correlation matrices are critical to many data mining applications and processes. Unfortunately the classical covariance and correlation matrices...
James Chilson, Raymond T. Ng, Alan Wagner, Ruben H...
Digital watermarking is equivalent to bandlimited, powerlimited digital communication. The power limit is due to the requirement of imperceptible watermarks, and has long been rec...
This paper develops a Bayesian network (BN) predictor to profile cross-race gene expression data. Cross-race studies face more data variability than single-lab studies. Our desig...
Scripting languages enjoy great popularity due their support for rapid and exploratory development. They typically have lightweight syntax, weak data privacy, dynamic typing, powe...
Bard Bloom, John Field, Nathaniel Nystrom, Johan &...