Summary SQL

Summary SQL — A fuzzy tool for data mining. The increasing use of computers for transactions and communication have created mountains of data that contain potentially valuable knowledge. To search for this knowledge we have to develop a new generation of tools, which have the ability of flexible querying and intelligent searching. In this paper we will introduce an extension of a fuzzy query language called Summary SQL which can be used for knowledge discovery and data mining. We show how it can be used to search for fuzzy rules.

References in zbMATH (referenced in 22 articles , 1 standard article )

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  1. Ježková, L.; Cordero, P.; Enciso, M.: Fuzzy functional dependencies: a comparative survey (2017)
  2. Lesot, Marie-Jeanne; Moyse, Gilles; Bouchon-Meunier, Bernadette: Interpretability of fuzzy linguistic summaries (2016)
  3. Hudec, Miroslav; Vučetić, Miljan: Some issues of fuzzy querying in relational databases. (2015)
  4. Niewiadomski, Adam; Superson, Izabela: Multi-subject type-2 linguistic summaries of relational databases (2015)
  5. Delgado, Miguel; Ruiz, M. Dolores; Sánchez, Daniel; Vila, M. Amparo: Fuzzy quantification: a state of the art (2014)
  6. Kacprzyk, Janusz; Zadrożny, Sławomir: Derivation of linguistic summaries is inherently difficult: can association rule mining help? (2013)
  7. Liétard, Ludovic: A functional interpretation of linguistic summaries of data (2012) ioport
  8. Wilbik, Anna; Keller, James M.: A distance metric for a space of linguistic summaries (2012)
  9. Kacprzyk, J.; Zadrożny, S.: Towards human consistent data driven decision support systems using verbalization of data mining results via linguistic data summaries (2010) ioport
  10. Ilhan, Sevinc; Duru, Nevcihan: A comparative study for crisp and fuzzy query by a software tool (2007)
  11. Kacprzyk, Janusz; Zadrożny, Sławomir: Towards human-consistent data-driven decision support systems via fuzzy linguistic data summaries (2007)
  12. Voglozin, W. A.; Raschia, G.; Ughetto, L.; Mouaddib, N.: Querying a summary of database (2006) ioport
  13. Voglozin, W. A.; Raschia, G.; Ughetto, L.; Mouaddib, N.: Querying a summary of database (2006) ioport
  14. Wang, Jia-Wen; Chang, Jing-Rong; Cheng, Ching-Hsue: Flexible fuzzy OWA querying method for hemodialysis database (2006) ioport
  15. Kacprzyk, Janusz; Zadrożny, Sławomir: Linguistic database summaries and their protoforms: towards natural language based knowledge discovery tools (2005) ioport
  16. Laurent, Anne: A new approach for the generation of fuzzy summaries based on fuzzy multidimensional databases (2003)
  17. Yager, Ronald R.: Data mining using granular linguistic summaries (2003)
  18. Raschia, G.; Mouaddib, N.: SAINTETIQ: A fuzzy set-based approach to database summarization (2002)
  19. Sicilia, Miguel-Ángel; Díaz, Paloma; Aedo, Ignacio; García, Elena: Fuzzy linguistic summaries in rule-based adaptive hypermedia systems (2002)
  20. Kacprzyk, Janusz; Yager, Ronald R.: Linguistic summaries of data using fuzzy logic (2001)

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