Pozyskiwanie wiedzy z relacyjnych baz danych: wielopodmiotowe podsumowania lingwistyczne

• Authors: Izabela Superson , Adam Niewiadomski

Title variants

EN

Acquiring Knowledge from Relational Databases: Multi-Subject Linguistic Summaries

• Languages of publication: PL

Abstracts

EN

The aim of this article is to show how fuzzy logic based algorithms can be applied to analyze large datasets and present its results in a human-friendly form: using natural language. A new concept of linguistic summaries is demonstrated: multi-subject linguistic summaries of relational databases, that extends the classic manner. This paper focuses on new, interesting forms of linguistic summaries, which are represented by equations (4), (11), (15) and (18). This article also contains discussion about calculating degrees of truth of the new forms. From the potential end user point of view simplified form of presenting results using natural language expressions is the most important thing. This paper includes demonstration and description of standalone application that generates analysis of large dataset and presents results using short and intuitive expressions in natural language. Possibilities given by the multi-subject linguistic summaries, e.g. description and comparison of more than one subject in one summarization, makes them great extension and complementation of existing forms of linguistic summaries.

Keywords

PL

Programy komputerowe; Relacyjne bazy danych; Systemy informatyczne

EN

Computer programs; Computer system; Relation databases

• Publisher: Uniwersytet Ekonomiczny w Katowicach
• Journal: Studia Ekonomiczne
• Year: 2014
• Volume: 199
• Pages: 297-312

Contributors

author

Izabela Superson

author

Adam Niewiadomski

References

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Identifiers

ISSN

2083-8611