rofileSEEKER – system informatyczny wczesnego ostrzegania małych i średnich przedsiębiorstw przed bankructwem

• Authors: Andrzej Burda , Paweł Cudek , Zdzisław S. Hippe

Title variants

EN

PROFILESEEKER – EARLY WARNING SYSTEM FOR PREDICTING ECONOMIC SITUATION OF SMALL AND MEDIUM ENTERPRISES

• Languages of publication: PL

Abstracts

EN

This paper presents the construction of the ProfileSEEKER – the information system for early warning small and medium-sized enterprises from bankruptcy. The developed system is a set of five classifiers, using a variety of topologies of artificial neural net-works and Bayes belief network, supported by supervised machine learning methods. System performance was evaluated using the original validation, called queue validation procedure.

Keywords

EN

PREDICTING ECONOMIC SITUATION SMES; ARTIFICIAL NEURAL NETWORKS; MACHINE LEARNING; QUEUE VALIDATION

• Publisher: Wyższa Szkoła Zarządzania i Administracji w Zamościu
• Journal: Barometr Regionalny. Analizy i prognozy
• Year: 2012
• Issue: 3(29)
• Pages: 99-105

Contributors

author

Andrzej Burda

• Wyższa Szkoła Zarządzania i Administracji w Zamościu, ul. Akademicka 4, 22-400 Zamość, Poland

author

Paweł Cudek

author

Zdzisław S. Hippe