Linguistic summarization of data sets using association rules

Linguistic summarization of data sets using association rules

We discuss linguistic summaries of databases introduced by Yager. Starting with our previous work we propose some extensions to the form of a linguistic summary. The new form still fits the scheme of an association rule. However, in comparison to the previous approaches, the use of a range of lingui...

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Bibliographic Details
Published in:The 12th IEEE International Conference on Fuzzy Systems, 2003. FUZZ '03 Vol. 1; pp. 702 - 707 vol.1
Main Authors: Kacprzyk, J., Zadrozny, S.
Format: Conference Proceeding
Language:English
Published: IEEE 2003
Subjects:
Association rules
Data mining
Data warehouses
Deductive databases
Fuzzy sets
Humans
Packaging
Remuneration
Taxonomy
Vocabulary
Online Access:Get full text
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Summary:We discuss linguistic summaries of databases introduced by Yager. Starting with our previous work we propose some extensions to the form of a linguistic summary. The new form still fits the scheme of an association rule. However, in comparison to the previous approaches, the use of a range of linguistic values as items and their linguistically quantified aggregation is allowed. An algorithm for mining such association rules within this framework, via the authors' FQUERY for Access package, is presented. Moreover, we show that Zadeh's idea of protoforms, and their hierarchies, can be employed to represent various types of linguistic summaries.
ISBN:9780780378100
0780378105
DOI:10.1109/FUZZ.2003.1209449