Derivation of Linguistic Summaries is Inherently Difficult: Can Association Rule Mining Help?

DOI10.1007/978-3-642-30278-7_23zbMath1348.68277OpenAlexW2218878499MaRDI QIDQ2829661

Sławomir Zadrożny, Janusz Kacprzyk

Publication date: 8 November 2016

Published in: Towards Advanced Data Analysis by Combining Soft Computing and Statistics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/978-3-642-30278-7_23

Mathematics Subject Classification ID

Reasoning under uncertainty in the context of artificial intelligence (68T37) Information storage and retrieval of data (68P20) Natural language processing (68T50)

Uses Software

• Summary SQL

Cites Work

• Unnamed Item
• SAINTETIQ: A fuzzy set-based approach to database summarization
• Linguistic summarization of time series using a fuzzy quantifier driven aggregation
• A new approach to the summarization of data
• A computational approach to fuzzy quantifiers in natural languages
• Gradual inference rules in approximate reasoning
• Finding fuzzy and gradual functional dependencies with Summary SQL
• LINGUISTIC SUMMARIES OF DATA USING FUZZY LOGIC
• Computing with words in intelligent database querying: Standalone and internet-based applications

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