Temporal Pattern Mining for Medical Applications

Intelligent Systems Reference Library

Volumn 25, Issue , 2012, Pages 9-18

  Bruno, Giulia ^a   Garza, Paolo ^a  

^a POLITECNICO DI TORINO   (Italy)

Author keywords

[No Author keywords available]

Indexed keywords

EID: 84885661633     PISSN: 18684394     EISSN: 18684408     Source Type: Book Series    
DOI: 10.1007/978-3-642-23151-3_2     Document Type: Article

References (18)

1. Agrawal, R., Srikant, R.: Fast Algorithms for Mining Association Rules in Large Databases. In: Proceedings of 20th International Conference on Very Large Data Bases, Santiago de Chile, Chile, pp. 487-499 (1994)
2. Agrawal, R., Srikant, R.: Mining Sequential Patterns. In: Proceedings of the Eleventh International Conference on Data Engineering, Taipei, Taiwan, pp. 3-14 (1995)
3. Antunes, C., Oliveira, A.: Temporal data mining: an overview. In: Proc. Workshop on Temporal Data Mining KDD 2001 (2001)
4. Baralis, E., Bruno, G., Chiusano, S., Domenici, V.C., Mahoto, N.A., Petrigni, C.: Analysis of Medical Pathways by Means of Frequent Closed Sequences. In: Setchi, R., Jordanov, I., Howlett, R.J., Jain, L.C. (eds.) KES 2010. LNCS, vol. 6278, pp. 418-425. Springer, Heidelberg (2010)
5. Baralis, E., Bruno, G., Ficarra, E.: Temporal Association Rules for Gene Regulatory Networks. In: 4th International IEEE Conference of Intelligent Systems, Varna, Bulgaria (2008)
6. Berlingerio, M., Bonchi, F., Giannotti, F., Turini, F.: Time-annotated Sequences for Medical Data Mining. In: 7th IEEE International Conference on Data Mining, pp. 133-138 (2007)
7. Campos, M., Palma, J., Marin, R.: Temporal Data Mining with Temporal Constraints. In: Proceedings of the 11th Conference on Artificial Intelligence in Medicine, Amsterdam, The Netherlands, pp. 67-76 (2007)
8. Jin, H., Chen, J., He, H., Williams, G.J., Kelman, C., O'Keefe, C.M.: Mining Unexpected Temporal Associations: Applications in Detecting Adverse Drug Reactions. IEEE Transactions on Information Technology in Biomedicine 12(4), 488-500 (2008)
9. Klema, J., Novakova, L., Karel, F., Stepankova, O., Zelezny, F.: Sequential Data Mining: A Comparative Case Study in Development of Atherosclerosis Risk Factors. IEEE Transactions on Systems, Man, and Cybernetics 38(1), 3-15 (2008)
10. Han, J., Pei, J., Yin, Y.: Mining Frequent Patterns without Candidate Generation. In: Proceedings of the 2000 ACM SIGMOD International Conference on Management of Data, Dallas, Texas, USA, pp. 1-12 (2000)
11. Mannila, H., Toivonen, H., Verkamo, A.I.: Discovery of Frequent Episodes in Event Sequences. Data Mining and Knowledge Discovery 1(3), 259-289 (1997)
12. Meamarzadeh, H., Khayyambashi, M.R., Saraee, M.H.: Extracting Temporal Rules from Medical data. In: International Conference on Computer Technology and Development (2009)
13. Orlando, S., Perego, R., Silvestri, C.: A new algorithm for gap constrained sequence mining. In: Proceedings of the 2004 ACM Symposium on Applied Computing, Nicosia, Cyprus, pp. 540-547 (2004)
14. Pei, J., Han, J., Wang, W.: Mining Sequential Patterns with Constraints in Large Databases. In: Proceedings of the 2002 ACM CIKM International Conference on Information and Knowledge Management, VA, USA, pp. 18-25 (2002)
15. Pei, J., Han, J., Mortazavi-Asl, B., Wang, J., Pinto, H., Chen, Q., Dayal, U., Hsu, M.-C.: Mining Sequential Patterns by Pattern-Growth: The PrefixSpan Approach. IEEE Transactions on Knowledge and Data Engineering 16(10), 1-17 (2004)
16. Post, A.R., Harrison, J.H.: Temporal Data Mining. Clinics in Laboratory Medicine 28, 83-100 (2008)
17. Zaki, M.J.: SPADE: An Efficient Algorithm for Mining Frequent Sequences. Machine Learning 42, 31-60 (2001)
18. Zhang, Y., Zaki, M.J.: EXMOTIF: efficient structured motif extraction. Algorithms for Molecular Biology 1(21) (2006)