Visual Analytics and Interactive Technologies: Data, Text and Web Mining Applications

Large volumes of data and complex problems inspire research in computing and data, text, and Web mining. However, analyzing data is not sufficient, as it has to be presented visually with analytical capabilities.

Visual Analytics and Interactive Technologies: Data, Text and Web Mining Applications is a comprehensive reference on concepts, algorithms, theories, applications, software, and visualization of data mining, text mining, Web mining and computing/supercomputing. This publication provides a coherent set of related works on the state-of-the-art of the theory and applications of mining, making it a useful resource for researchers, practitioners, professionals and intellectuals in technical and non-technical fields.

The many academic areas covered in this publication include, but are not limited to:

• Data mining techniques for outlier detection
• Database analysis with ANNs
• Design of specialized biological databases
• Effective Web personalization
• Feature selection methods for knowledge discovery
• Interactive visual clustering
• Ontology-based framework to extract external Web data
• Visual analytic system for frequent set mining
• Visual survey analysis
• Web mining and social network analysis