Towards human friendly data mining: linguistic data summaries and their protoforms

Authors:
Sławomir Zadrozny;Janusz Kacprzyk;Magdalena Gola
Affiliations:
Systems Research Institute, Polish Academy of Sciences, Warsaw, Poland;Systems Research Institute, Polish Academy of Sciences and Warsaw School of Information Technology, Warsaw, Poland;Systems Research Institute, Polish Academy of Sciences, Warsaw, Poland
Venue:
ICANN'05 Proceedings of the 15th international conference on Artificial neural networks: formal models and their applications - Volume Part II
Year:
2005

Citing 2
Cited 1

Computing with words in intelligent database querying: standalone and internet-based application

Information Sciences—Informatics and Computer Science: An International Journal - Special issue computing with words
Linguistic database summaries and their protoforms: towards natural language based knowledge discovery tools

Information Sciences: an International Journal

A hybrid model of genetic algorithm with local search to discover linguistic data summaries from creep data

Expert Systems with Applications: An International Journal

Quantified Score

Hi-index	0.00

Visualization

Abstract

We show how linguistic database summaries can provide tools for human friendly data mining. The relevance of Zadeh's concept of a protoform is indicated. We present the use of our fuzzy databse querying interface for an effective and efficient mining of such linguistic data summaries. We outline an implementation for a computer retailer involving both data from an internal database of the company and data downloaded from external databases via the Internet.