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, i.e., a chart/diagram/image illustration that enables humans to perceive, relate, and conclude in the knowledge discovery process. In addition, how to use computing or supercomputing techniques (e.g., distributed, parallel, and clustered computing) in improving the effectiveness of data, text, and web mining is an important aspect of the visual analytics and interactive technology. This book extends the visual analytics by using tools of data, web, text mining and computing, and their associated software and technologies available today.

This is a comprehensive book on concepts, algorithms, theories, applications, software, and visualization of data mining and computing. It provides a volume of coherent set of related works on the state-of-the-art of the theory and applications of mining and its relations to computing, visualization and others with an audience to include both researchers, practitioners, professionals and intellectuals in technical and non-technical fields, appealing to a multi-disciplinary audience. Because each chapter is designed to be stand-alone, readers can focus on the topics that most interest them.

With a unique collection of recent developments, novel applications, and techniques for visual analytics and interactive technologies, the sections of the book are Concepts, Algorithms, and Theory; Applications of Mining and Visualization; and Visual Systems, Software and Supercomputing, pertaining to Data mining, Web mining, Data Visualization, Mining for Intelligence, Supercomputing, Database, Ontology, Web Clustering, Classification, Pattern Recognition, Visualization Approaches, Data and Knowledge Representation, and Web Intelligence.