In this paper a description of business process simulation is given. A crucial part in the simulation of business processes is the analysis of social contacts between the participants. We will introduce a tool to collect log data and how this log data can be eeectively analyzed using two diierent kind of methods: discussion ow charts and self-organizing maps. Discussion ow charts revealed the c...

Neighborhood algorithm is an important part of 3D SOM algorithm. We proposed three kinds of neighborhood shape and two kinds of neighborhood decay function for threedimensional self-organizing feature maps (3D SOM) algorithm and applied them to three-dimensional image compression coding. Experimental results show that the 3D orthogonal cross neighborhood shape and exponential function algorithm...

We report on the results of a pilot study in which a data-mining tool was developed for mining audiology records. The records were heterogeneous in that they contained numeric, category and textual data. The tools developed are designed to observe associations between any field in the records and any other field. The techniques employed were the statistical chi-squared test, and the use of self...

The paper presents the design of the parameters for long-term municipal rating. Modelling of the rating is realized by means of unsupervised methods, because the rating classes are not known a priori. The model design based on statistical methods (neural networks) is represented by cluster analysis (self-organizing feature maps). Key-Words: Credit risk, rating, unsupervised learning, cluster an...

The self-organizing feature maps developed by Kohonen appear to capture some of the advantages of the natural systems on which they are based. A summary of the operation of this form of artificial neural network is presented. It was concluded that the primary benefits of using self-organizing feature maps result from their adaptability and plasticity while most problems are largely caused by th...

Role of self-organizing maps in visualization and analysis of software measures is presented and discussed in this paper. We reveal how self-organizing maps can create a user-friendly and interactive visualization tool that helps software designer to inspect various alternatives and get a thorough insight into the structure of the clusters of the software modules and related metrics. We show ho...

Abstract In this study, we present self-organizing maps and discuss their role in the analysis and visualization of software modules in the space of software measures. We reveal how self-organizing maps create a user-friendly and interactive visualization tool that helps user/software designer inspect various alternatives and get a thorough insight into the structure of the clusters of the soft...

Collision avoidance for a visuo-motor system in unstructured and cluttered environment is described. The achievement of collision avoidance is based on a simplified path planning system and motion control performed by self-organizing maps. The self-organizing maps are learned to determine joint angles of a redundant manipulator. Since the learning algorithm promises to make the manipulator reac...

A dynamically reconfigurable hardware accelerator for self-organizing feature maps is presented. The system is based on the universal rapid prototyping system RAPTOR2000 that has been developed by the authors. The modular prototyping system is based on XILINX FPGAs and is capable of emulating hardware implementations with a complexity of more than 24 million system gates. RAPTOR2000 is linked t...

In this paper we present an approach to organize and classify e-mails using self-organizing maps. The aim is on the one hand to provide an intuitive visual profile of the considered mailing lists and on the other hand to offer an intuitive navigation tool, were similar e-mails are located close to each other, so that the user can scan easily for e-mails similar in content. Furthermore, each gro...