37
Views
0
CrossRef citations to date
0
Altmetric
Articles

Sporadic fuzzy temporal associations

Pages 3-16 | Received 17 Dec 2005, Accepted 08 Jun 2007, Published online: 24 Jun 2008

References

  • Agrawal , R. and Srikant , R. 1994 . “ Fast algorithms for mining association rules ” . In Proceedings of 20th International Conference on Very Large Data Bases VLDB , Edited by: Bocca , J.B. , Jarke , M. and Zaniolo , C. 487 – 499 . Santiago, Chile : Morgan Kaufmann .
  • Agrawal , R. and Srikant , R. 1995 . “ Mining sequential patterns ” . In Eleventh International Conference on Data Engineering , Edited by: Yu , P.S. and Chen , A.S.P. 3 – 14 . Taipei, Taiwan : IEEE Computer Society Press .
  • Ale , J.M. and Rossi , G.J. 2000 . “ An approach to discovering temporal association rules ” . In Proceedings of the 2000 ACM Symposium on Applied Computing. Como. Italy 294 – 300 .
  • Brin , S. , Motwani , R. , Ullman , J.D. and Tsur , S. 1997 . “ Dynamic itemset counting and implication rules for market basket data ” . In SIGMOD 1997, Proceedings ACM SIGMOD International Conference on Management of Data , Edited by: Peckham , J. 255 – 264 . New York : ACM Press .
  • Chan , K.C.C. and Au , W.-H. 1997 . An effective algorithm for mining interesting quantitative association rules . Selected Areas in Cryptography , : 88 – 90 .
  • Delgado , M. , Marín , N. , Sánchez , D. and Vila , M.A. 2003 . Fuzzy association rules: general model and applications . IEEE Transactions on Fuzzy Systems , : 214 – 225 .
  • Dubois , D. , Prade , H. and Sudkamp , T. 2005 . On the representation, measurement, and discovery of fuzzy associations . IEEE Transactions on Fuzzy Systems , 13 ( 2 ) : 250 – 262 .
  • Han , J. , Gong , W. and Yin , Y. 1998 . “ Mining segment-wise periodic patterns in time-related databases ” . In Proceedings of International Conference on Knowledge and Data Mining , 1 – 12 . New York : ACM Press .
  • Han , J. , Pei , J. and Yin , Y. 2000 . “ Mining frequent patterns without candidate generation ” . In ACM SIGMOD International Conference on Management of Data , Edited by: Chen , W. , Naughton , J. and Bernstein , P.A. 214 – 218 . New York : ACM Press .
  • Hipp , J. , Guntzer , U. and Nakhaeizadeh , G. 2000 . Algorithms for association rule mining—a general survey and comparison . SIGKDD Explorations , : 58 – 64 .
  • Lee , J.H. and Kwang , H.L. 1997 . “ An extension of association rules using fuzzy sets ” . In Proceedings of IFSA 1997, Prague 399 – 402 .
  • Mannila , H. , Toivonen , H. and Verkamo , A.I. 1995 . “ Discovering frequent episodes in sequences ” . In Proceedings of the International Conference on Knowledge Discovery and Data Mining , 210 – 215 . Montreal : AAAI Press .
  • Miller , R.J. and Yang , Y. 1997 . “ Association rules over interval data ” . In SIGMOD 1997, Proceedings ACM SIGMOD International Conference on Management of Data , 452 – 461 . Tuscon, AR : ACM Press .
  • Ozden , B. , Ramaswamy , S. and Silberschatz , A. 1998 . Cyclic association rules . ICDE , : 412 – 421 .
  • Piatetsky-Shapiro , G. 1991 . “ Discovery, analysis, and presentation of strong rules ” . In Knowledge Discovery in Databases , Edited by: Piatetsky-Shapiro , G. and Frawley , W. 229 – 248 . Menlo Park, CA : AAAI/MIT Press .
  • Srikant , R. and Agrawal , R. 1996a . “ Mining quantitative association rules in large relational tables ” . In Proceedings of the 1996 ACM SIGMOD International Conference on Management of Data, Montreal , Edited by: Jagadish , H.V. and Mumick , I.S. 1 – 12 . New York : ACM Press .
  • Srikant , R. and Agrawal , R. 1996b . “ Mining sequential patterns: generalizations and performance improvements ” . In Proceedings of the 5th International Conference on Extending Database Technology, EDBT , Edited by: Apers , P.M.G. , Bouzeghoub , M. and Gardarin , G. Vol. 1057 , 3 – 17 . New York : Springer-Verlag .
  • Sudkamp , T. 2005a . “ Discovery of fuzzy temporal associations in multiple data streams ” . In Advances in Soft Computing , Edited by: Hoffmann , M.K.F. 1 – 13 . New York : Springer-Verlag .
  • Sudkamp , T. 2005b . Examples, counterexamples, and measuring fuzzy associations . Fuzzy Sets and Systems , : 57 – 71 .
  • Sudkamp , T.A. and Hammell , R. Discovering imprecise temporal associations . pp. 1 – 13 . Proceedings of the NAFIPS-2003 Conference, Chicago
  • Vincenti , G. , Hammell , R.J. and Trajkovski , G. 2005 . Scouting for imprecise temporal associations to support effectiveness for drugs during clinical trials . : 171 – 176 . Proceedings of NAFIPS-05

Reprints and Corporate Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

To request a reprint or corporate permissions for this article, please click on the relevant link below:

Academic Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

Obtain permissions instantly via Rightslink by clicking on the button below:

If you are unable to obtain permissions via Rightslink, please complete and submit this Permissions form. For more information, please visit our Permissions help page.