Bandyopadhyay S., Maulik U., Holder L.B., Cook D.J. Advanced methods for Knowledge Discovery from complex data

In this book, we bring together research articles by active practitioners
reporting recent advances in the field of knowledge discovery, where the information
is mined from complex data, such as unstructured text from the
world-wide web, databases naturally represented as graphs and trees, geoscientific
data from satellites and visual images, multimedia data and bioinformatic
data. Characteristics of the methods and algorithms reported here include the
use of domain-specific knowledge for reducing the search space, dealing with uncertainty, imprecision and concept drift, efficient linear and/or sub-linear
scalability, incremental approaches to knowledge discovery, and increased level
and intelligence of interactivity with human experts and decision makers. The
techniques can be sequential, parallel or stream-based in nature.