TY - THES TI - Visuelles Data Mining komplexer Strukturen AU - Schulz, Hans-Jörg AB - Meanwhile an enormous number of techniques for numerical preprocessing,visualization and interactive exploration has been developed, in order to handle the vast amount of ever accumulating data.This paper categorizes such techniques which are feasible for handling large structural datasets. Furthermore a practical similiarity-based criterion is introduced that enables us to systemize existing methods for structure visualization. The presented techniques are assembled into a framework that unifies all processing stages of visual data mining in complex structures and their mutual dependencies for the first time. Additionally the developed software is tested on two examples in order to prove its functionality. CY - Rostock, Germany DA - 2004/// PY - 2004 SP - 115 LA - German M3 - Diploma thesis (Diplomarbeit) PB - University of Rostock ER -