György Biró

Fuzzy signatures in data mining

Fuzzy signature has a special role in data mining, concerning data mixed with human estimates. The semantics of the fuzzy concept is a relevant issue of data interpretation. A software system was developed to implement these ideas and works on a rather extensive database of a two-decade neuro-developmental project. Another project initiated in the subjects of transition economy and society is ongoing. Delicate problems of sensitivity and the re-thinking of principal component and factor analysis for fuzzy data are current research issues.

Improvements and critique on Sugeno's and Yasukawa's qualitative modeling

Investigates Sugenos and Yasukawas (1993) qualitative fuzzy modeling approach. We propose some easily implementable solutions for the unclear details of the original paper, such as trapezoid approximation of membership functions, rule creation from sample data points, and selection of important variables. We further suggest an improved parameter identification algorithm to be applied instead of the original one. These details are crucial concerning the methods performance as it is shown in a comparative analysis and helps to improve the accuracy of the built-up model. Finally, we propose a possible further rule base reduction which can be applied successfully in certain cases. This improvement reduces the time requirement of the method by up to 16% in our experiments.

Experiment with a Hierarchical Text Categorization Method on WIPO Patent Collections

We presented HITEC, an automated text classifier and its application categorize to English and German patent collections of WIPO under the IPC taxonomy. IPC covers all areas of technology and is currently used by the industrial property offices of many countries. Patent classification is indispensable for the retrieval of patent documents in the search for prior art. Such retrieval is crucial to patent-issuing authorities, potential inventors, research and development units, and others concerned with the application or development of technology. An efficient automated patent classifier is crucial component in providing an automated classification assistance system for categorizing patent applications in the IPC, that is a main aim at WIPO Fall et al., 2002. HITEC can be a prominent candidate for this purpose.

Notes on Sugeno and Yasukawa's fuzzy modelling approach

This paper investigates the Sugenos and Yasukawas qualitative fuzzy modelling approach. We propose some easily implementable solution for the unclear details of the original paper. These details are crucial concerning the methods performance.

Experiments with a hierarchical text categorizer

HITEC is a hierarchical text categorizer tool that is based on UFEX (universal feature extractor) algorithm. This paper presents experiments on the effectiveness of HITEC on several natural languages (English, German) and with various kinds of text corpora. The obtained results show that HITEC outperforms its known competitors on the investigated corpora, and its performance is independent from the processed languages. The time and storage requirement of HITEC is considerable, therefore it can be run on an average PC.