INTERACTIVE VISUALIZATION OF ABSTRACT DATA
Peter Kapec · 2010
Information visualization is a large research area. Currently with more powerful computers and graphic accelerators more and more visualization techniques become part of daily use. In this paper we discus visualization of abstract data - data that is difficult or impossible to manually grasp. Using visualization of abstract data we can gain better insight. We present several experimental methods for visualizing graphs and show possible applications in the software visualization field. With the exponential growth of data caused by the penetration of information and communication technologies to every branch of human activities, grows the demand on extracting facts and knowledge from the flood of these data by means of business intelligence and data mining. Visual data mining is the method which is often used in many fields by using different data and science visualization methods and tools. Special category is visualization abstract data in form of graphs. Abstract data visualization is used in different application areas as organizational structures, family trees, geographical data, transport, communication and social networks, ontologies, information systems - hardware interconnection, software, distributed and collaborative systems and modelling (for example UML).