Linguistic summaries applied to medical textual databases

• Autorzy: Ochelska J. , Niewiadomski A. , Szczepaniak P. S.
• Języki publikacji: EN

Abstrakty

EN

The paper focuses on textual semi-structured data processing and mining. An original composition of a simple method of textual data mining [1] and Yager's linguistic summaries of databased [2] proposed in the paper makes it possible to summarize not only numerical or string data, but – even and especially – the textual noncrisp and semi-structured information as well. As a result of application and implementation of the presented method to a real medical database a user-friendly and easy-to-operate system is achieved.

Słowa kluczowe

EN

linguistic summaries; textual databases

PL

podsumowania lingwistyczne; tekstowe bazy danych

• Wydawca: University of Silesia, Institute of Informatics, Computer Systems Department
• Czasopismo: Journal of Medical Informatics & Technologies
• Rocznik: 2001
• Tom: Vol. 2, Part. 1
• Strony: MI125--MI130
• Opis fizyczny: Bibliogr. 2 poz., rys., tab.

Twórcy

autor

Ochelska J.

• Institute of Computer Science, Technical University of Lodz, Sterlinga 16/18, 90-217 Lodz, Poland

autor

Niewiadomski A.

• Institute of Computer Science, Technical University of Lodz, Sterlinga 16/18, 90-217 Lodz, Poland

autor

Szczepaniak P. S.

• Systems Research Institute, Polish Academy of Sciences, Newelska 6, 01-447 Warsaw, Poland

Bibliografia

• [1] Niewiadomski A.: Appliance of fuzzy relations for text documents comparing. Proceedings of the 5th Conference "Neural Networks and Soft Computing", Zakopane, Poland, June 6-10, 2000, pp. 347-352.
• [2] Yager R. R.: Linguistic summaries as a tool for database discovery. Workshop on Fuzzy Database System and Information Retrival, Yokohama, Japan 1995.