Derivation of linguistic summaries is inherently difficult: Can association rule mining help?

Studies in Fuzziness and Soft Computing

Volumn 285, Issue , 2013, Pages 291-303

  Kacprzyk, Janusz ^a   Zadrozny, Sałwomir ^a,b  

^a SYSTEMS RESEARCH INSTITUTE   (Poland)

^b KAZIMIERZ PULASKI UNIVERSITY OF TECHNOLOGY AND HUMANITIES IN RADOM   (Poland)

Author keywords

[No Author keywords available]

Indexed keywords

EID: 84891717706     PISSN: 14349922     EISSN: None     Source Type: Book Series    
DOI: 10.1007/978-3-642-30278-7_23     Document Type: Review

References (31)

1. Agrawal R, Srikant R (1994) Fast Algorithms for Mining Association Rules. Proc. 20th Int. Conf. on Very Large Databases (VLDB 1994, Santiago de Chile), 487-499. Morgan Kaufmann, San Mateo, CA, USA
2. Baczko T, Kacprzyk J, ZadroŻny S (2011) Towards Knowledge Driven Individual Integrated Indicators of Innovativeness. In: Jozefczyk J, Orski D (eds.) Knowledge-Based Intelligent System Advancements: Systemic and Cybernetic Approaches, 129-140. IGI Global, Hershey, USA
3. Borgelt C, Kruse R (2002) Induction of Association Rules: Apriori Implementation. Proc. 15th Conf. on Comp. Statistics (Compstat 2002, Berlin, Germany), 395-400. Physica Verlag, Heidelberg, Germany
4. Bosc P, Dubois D, Pivert O, Prade H, de Calmes M (2002) Fuzzy Summarization of Data Using Fuzzy Cardinalities, 1553-1559. Proc. IPMU'2002 (Annecy, France)
5. Dubois D, Prade H (1992) Gradual Rules in Approximate Reasoning. Information Sciences 61:103-122
6. George R, Srikanth R (1996) Data Summarization Using Genetic Algorithms and Fuzzy Logic. In: Herrera F, Verdegay JL (eds.) Genetic Algorithms and Soft Computing, 599-611. Physica-Verlag, Heidelberg, Germany
7. Kacprzyk J, Wilbik A, Zadrożny S (2008) Linguistic Summarization of Time Series Using a Fuzzy Quantifier Driven Aggregation. Fuzzy Sets and Systems 159:1485-1499
8. Kacprzyk J, Yager RR (2001) Linguistic Summaries of Data Using Fuzzy Logic. Int. Journal of General Systems 30:133-154
9. Kacprzyk J, Yager RR, Zadrożny S (2000) A Fuzzy Logic Based Approach to Linguistic Summaries of Databases. Int. Journal of Applied Mathematics and Computer Science 10:813-834
10. Kacprzyk J, Zadrożny S (1995) Fuzzy queries in Microsoft Access v.2. Proc. FUZZIEEE/ IFES '95 (Yokohama, Japan), Workshop on Fuzzy Database Systems and Information Retrieval, 61-66
11. Kacprzyk J, Zadrożny S (1995) FQUERY for Access: Fuzzy Querying for a Windowsbased DBMS. In: Bosc P, Kacprzyk J (eds.) Fuzziness in Database Management Systems, 415-433. Physica-Verlag, Heidelberg, Germany
12. Kacprzyk J, Zadrożny S (2000) On Combining Intelligent Querying and Data Mining Using Fuzzy Logic Concepts. In: Bordogna G, Pasi G (eds.) Recent Research Issues on the Management of Fuzziness in Databases, 67-81. Physica-Verlag, Heidelberg, Germany
13. Kacprzyk J, Zadrożny S (2001) Data Mining via Linguistic Summaries of Databases: An Interactive Approach. In: Ding L (ed.) A New Paradigm of Knowledge Engineering by Soft Computing, 325-345. World Scientific, Singapore
14. Kacprzyk J, Zadrożny S (2001) Fuzzy Linguistic Summaries via Association Rules. In: Kandel A, Last M, Bunke H (eds.) Data Mining and Computational Intelligence, 115-139. PhysicaVerlag, Heidelberg, Germany
15. Kacprzyk J, Zadrożny S (2001) CWW in Intelligent Database Querying: Standalone and Internet-based Applications. Information Sciences 34:71-109
16. Kacprzyk J, Zadrożny S (2003) Linguistic Summarization of Data Sets Using Association Rules. Proc. FUZZ-IEEE'03 (St. Louis, USA), 702-707.
17. Kacprzyk J, Zadrożny S (2005) Linguistic Database Summaries and Their Protoforms: Towards Natural Language based Knowledge Discovery Tools. Information Sciences 173(4):281-304
18. Kacprzyk J, Zadrożny S, Ziółkowski A (1989) FQUERY III+: A 'Human Consistent' Database Querying System based on Fuzzy Logic with Linguistic Quantifiers. Information Systems 6:443-453
19. Kacprzyk J, Ziółkowski A (1986) Database Queries with Fuzzy Linguistic Quantifiers. IEEE Transactions on Systems, Man and Cybernetics 16:474-479
20. Kryszkiewicz M (2001) Concise Representation of Frequent Patterns based on Disjunction-free Generators. Proc. of ICDM'2001, San Jose, USA, 305-312
21. Srikant R, Agrawal R (1996) Mining Quantitative Association Rules in Large Relational Tables. Proc. of ACM-SIGMOD Conf. on Manag. of Data, Montreal, Canada
22. Raschia G, Mouaddib N (2002) SAINTETIQ: A Fuzzy Set based Approach to Database Summarization. Fuzzy Sets and Systems 129:137-162
23. Rasmussen D, Yager RR (1999) Finding Fuzzy and Gradual Functional Dependencies with summarySQL. Fuzzy Sets and Systems 106:131-142
24. Yager RR (1982) A New Approach to the Summarization of Data. Information Sciences 28:69-86
25. Yager RR (1988) On OrderedWeighted Averaging Operators in Multicriteria Decision Making. IEEE Trans. on Systems, Man and Cybern., 183-190
26. Yager RR (1996) Database Discovery using Fuzzy Sets. Int. Journal of Intelligent Systems 11:691-712
27. Yager RR, Kacprzyk J (1997) The Ordered Weighted Averaging Operators: Theory and Applications. Kluwer, Boston, USA
28. Zadeh LA (1983) A Computational Approach to Fuzzy Quantifiers in Natural Languages. Computers and Maths with Appls. 9:149-184
29. Zadeh LA (2002) A Prototype-centered Approach to Adding Deduction Capabilities to Search Engines - The Concept of a Protoform. BISC Seminar, Univ. of California, Berkeley, USA
30. Zadeh LA, Kacprzyk J., eds. (1999) Computing withWords in Information/Intelligent Systems, 1. Foundations. 2. Applications. Physica-Verlag, Heidelberg/New York, Germany/USA
31. Zadrożny S, De Tré G, De Caluwe R, Kacprzyk J (2008) An Overview of Fuzzy Approaches to Flexible Database Querying. In: Galindo J (ed.) Handbook of Research on Fuzzy Information Processing in Databases, 34-53. Idea Group Inc.