PL EN


2014 | 199 | 297-312
Article title

Pozyskiwanie wiedzy z relacyjnych baz danych: wielopodmiotowe podsumowania lingwistyczne

Content
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.
Year
Volume
199
Pages
297-312
Physical description
Contributors
References
  • Bosc P., Pivert O., Fuzzy Querying in Conventional Databases [w:] Fuzzy Logic for the Management of Uncertainty, eds. L.A. Zadeh, J. Kacprzyk, Wiley, New York 1992.
  • Flexible Query Answering System, eds. T. Andreasen, H. Christiansen, H.L. Larsen, Kluwer, Boston 1997.
  • Kacprzyk J., Yager R.R., Linguistic Summaries of Data Using Fuzzy Logic, "International Journal of General Systems" 2001, 30.
  • Kacprzyk J., Yager R.R., Zadrożny S., A Fuzzy Logic Based Approach to Linguistic Summaries of Databases, "International Journal of Applied Mathematics and Computer science" 2000, 10.
  • Kacprzyk J., Yager R.R., Zadrożny S., Fuzzy Linguistic Summaries of Databases for an Efficient Business Data Analysis and Decision Support [w:]: Knowledge Discovery for Business Information Systems, eds. W. Abramowicz, J. Zurada, Kluwer Academic Publisher, Boston 2001.
  • Kacprzyk J., Zadrożny S., Flexible Querying Using Fuzzy Logic: An Implementation for Microsoft Access [w: ] Flexible Query Answering Systems, eds. T. Andreasen, H. Christiansen, H.L. Larsen, Kluwer, Boston 1997.
  • Niewiadomski A., News Generating via Fuzzy Summarization of Databases, "Lecture Notes in Computer Science" 2006, 3831.
  • Niewiadomski A., Six New Informativeness Indices of Data Linguistic Summaries [w:] Advances in Intelligent Web Mastering, eds. P.S. Szczepaniak, K. Węgrzyn-Wolska, Springer-Verlag, 2007.
  • Raschia G., Mouaddib N., SAINTETIQ: A Fuzzy Set-Based Approach to Database Summarization, "Fuzzy Sets and Systems" 2002, 129.
  • Rasmussen D., Yager R.R., A fuzzy SQL Summary Language for Data Discovery [w:] Fuzzy Information Engineering: A Guided Tour of Application's, eds. D. Dubois, H. Prade, R.R. Yager, Wiley, New York 1997.
  • Yager R.R., A New Approach to the Summarization of Data, "Information Science" 1982, 28.
  • Yager R.R., On Ordered Weighted Averaging Operators in Multicriteria Decision Making, " IEEE Transactions on Systems, Man, and Cybernetics" 1988, 18.
Document Type
Publication order reference
Identifiers
ISSN
2083-8611
YADDA identifier
bwmeta1.element.desklight-48b6e678-8bdb-4a2b-ab79-77a76631b2e5
JavaScript is turned off in your web browser. Turn it on to take full advantage of this site, then refresh the page.