Mining asynchronous periodic patterns in time series data

Proceeding of the Sixth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining

Volumn , Issue , 2000, Pages 275-279

  Yang, Jiong ^a   Wang, Wei ^a   Yu, Philip S ^a  

^a NONE

Author keywords

Asynchronous periodic pattern; Segment based approach

Indexed keywords

ALGORITHMS; PATTERN RECOGNITION; SET THEORY; TIME SERIES ANALYSIS;

PERIODIC PATTERNS;

DATA MINING;

EID: 0034592751     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/347090.347150     Document Type: Conference Paper

References (4)

1. J. Han, G. Dong, and Y. Yin. Efficient mining partial periodic patterns in time series database. Proc. 15th ICDE, 106-115, 1999.
2. B. Ozden, S. Ramaswamy, and A. Silberschatz. Cyclic association rules. Proc. 14th ICDE, 412-421, 1998.
3. S. Ramaswamy, S. Mahajan, and A. Silberschatz. On the discovery of interesting patterns in association rules. Proc. 24th VLDB, 368-379, 1998.
4. J. Yang, W. Wang, and P. S. Yu. Mining asynchronous periodic patterns in time series data. IBM Research Report, 2000.