Extracting uncertain temporal relations from mined frequent sequences

Proceedings of the International Workshop on Temporal Representation and Reasoning

Volumn 2006, Issue , 2006, Pages 152-159

  Guil, Francisco ^a   Marín, Roque ^b  

^a UNIVERSITY OF ALMERÍA   (Spain)

^b UNIVERSITY OF MURCIA   (Spain)

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHMS; CONSTRAINT THEORY; DATA STRUCTURES; DATABASE SYSTEMS; PROBABILITY; PROBLEM SOLVING;

SHAFER THEORY; TEMPORAL NETWORK;

DATA MINING;

EID: 33751429450     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/TIME.2006.14     Document Type: Conference Paper

References (13)

1. R. Agrawal, T. Imielinski, and A. N. Swami. Mining association rules between sets of items in large databases. In P. Buneman and S. Jajodia, editors, Proc. of the ACM SIGMOD Int. Conf. on Management of Data, Washington, D.C., May 26-28, 1993, pages 207-216. ACM Press, 1993.
2. R. J. Bayardo. Efficiently mining long patterns from databases. In L. M. Haas and A. Tiwary, editors, Proc. of the ACM SIGMOD Int. Conf. on Management of Data (SIGMOD 1998), June 2-4, 1998, Seattle, Washington, USA, pages 85-93. ACM Press, 1998.
3. F. Coenen, G. Goulbourne, and P. Leng. Tree structures for mining association rules. Data Mining and Knowledge Discovery, 8:25-51, 2004.
4. D. Dubois and H. Prade. Possibility Theory. Plenum Press, 1988.
5. D. Dubois, H. Prade, and G. Yager. Merging fuzzy information. In Fuzzy Sets in Approximate Reasoning and Information Systems, pages 335-401. Kluwer Academic Publishers, 1999.
6. U. Fayyad, G. Piatetky-Shapiro, and P. Smyth. From data mining to knowledge discovery in databases. AIMagazine, 17(3):37-54, 1996.
7. F. Guil, A. Bosch, and R. Marín. TSET: An algorithm for mining frequent temporal patterns. In Proc. of the First Int. Workshop on Knowledge Discovery in Data Streams, in conjunction with ECML/PKDD 2004, pages 65-74, 2004.
8. A. HadjAli, D. Dubois, and H. Prade. A possibility theory-based approach for handling of uncertain relations between temporal points. In 11th International Symposium on Temporal Representation and Reasoning (TIME 2004), pages 36-43. IEEE Computer Society, 2004.
9. H. Lu, L. Feng, and J. Han. Beyond intra-transaction association analysis: Mining multi-dimensional inter-transaction association rules. ACM Transactions on Information Systems (TOIS), 18(4):423-454, 2000.
10. A. K. Pani. Temporal representation and reasoning in artificial intelligence: A review. Mathematical and Computer Modelling, 34:55-80, 2001.
11. J. F. Roddick and M. Spiliopoulou. A survey of temporal knowledge discovery paradigms and methods. IEEE Transactions on Knowledge and Data Engineering, 14(4):750-767, 2002.
12. V. Ryabov and S. Puuronen. Probabilistic reasoning about uncertain relations between temporal points. In 8th International Symposium on Temporal Representation and Reasoning (TIME 2001), pages 1530-1511. IEEE Computer Society, 2001.
13. G. Shafer. A Mathematical Theory of Evidence. Princenton University Press, Princenton, NJ, 1976.