Efficient algorithms for mining maximal frequent concatenate sequences in biological datasets

Proceedings - Fifth International Conference on Computer and Information Technology, CIT 2005

Volumn 2005, Issue , 2005, Pages 98-104

  Pan, Jin ^a   Wang, Peng ^a   Wang, Wei ^a   Shi, Baile ^a   Yang, Genxing ^b  

^a FUDAN UNIVERSITY   (China)

^b Shanghai Software Test Key Lab   (China)

Author keywords

[No Author keywords available]

Indexed keywords

APRIORI-LIKE; BIOLOGICAL DATASETS; MACOSFSPAN; PROJECTION-BASED SEQUENTIAL PATTERN-GROWTH APPROACH;

ALGORITHMS; BIOMEDICAL ENGINEERING; COMPUTER SCIENCE; DATA MINING; GENES; PATTERN RECOGNITION;

DNA SEQUENCES;

EID: 33746902009     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/CIT.2005.106     Document Type: Conference Paper

References (11)

1. R. Agrawal and R. Srikant. Fast algorithms for mining association rules. In Proc. 1994 Int. Conf. VeryLarge Data Bases (VLDB'94), pages 487-499, Santiago, Chile, Sept. 1994.
2. R. Agrawal and R. Srikant. Mining sequential patterns. In Proc. 1995 Int. Conf. Data Engineering (ICDE'95), pages 3-14, Taipei, Taiwan, Mar. 1995.
3. C. Bettini, X. S. Wang, and S. Jajodia. Mining temporal relationships with multiple granularities in time sequences. Data Engineering Bulletin, 21:32-38, 1998.
4. M. Garofalakis, R. Rastogi, and K. Shim. Spirit: Sequential pattern mining with regular expression constraints. In Proc. 1999 Int. Conf. Very Large Data Bases (VLDB'99), pages 223-234, Edinburgh, UK, Sept. 1999.
5. J. Han, G. Dong, and Y. Yin. Efficient mining of partial periodic patterns in time series database. In Proc. 1999 Int. Conf. Data Engineering (ICDE'99), pages 106-115, Sydney, Australia, Apr. 1999.
6. H. Lu, J. Han, and L. Feng. Stock movement and ndimensional inter-transaction association rules. In Proc. 1998 SIGMOD Workshop Research Issues on Data Mining and Knowledge Discovery (DMKD'98), pages 12:1-12:7,Seattle, WA, June 1998.
7. H. Mannila, H. Toivonen, and A. I. Verkamo. Discovery of frequent episodes in event sequences. Data Mining and Knowledge Discovery, 1:259-289, 1997.
8. B. Ozden, S. Ramaswamy, and A. Silberschatz. Cyclic association rules. In Proc. 1998 Int. Conf. Data Engineering (ICDE'98), pages 412-421, Orlando, FL, Feb. 1998.
9. 'h Int. Conf. Extending Database Technology (EDBT'96), pages 3-17, Avignon, France, Mar. 1996.
10. E. Ukkonen. On-line construction of suffix-tree. Algorithmica, 14(3):249-260,1995.
11. J. Pei, J. Han, B. Mortazavi-Asl, Q. Chen, U. Dayal, and M.C. Hsu, PrefixSpan: Mining sequential patterns efficiently by prefix-projected pattern growth. In ICDE'01, Germany, April 2001.