Discovering association patterns in large spatio-temporal databases

Proceedings - IEEE International Conference on Data Mining, ICDM

Volumn , Issue , 2006, Pages 349-354

  Lee, Eric M H ^a   Chan, Keith C C ^a  

^a HONG KONG POLYTECHNIC UNIVERSITY   (Hong Kong)

Author keywords

[No Author keywords available]

Indexed keywords

ASSOCIATION RULES; COMMERCE; DATA MINING; DATABASE SYSTEMS; SALES;

ASSOCIATION PATTERNS; EBUSINESS; GEOGRAPHICAL LOCATIONS; MARKET BASKET ANALYSIS; MULTILEVELS; SPATIO TEMPORAL; SPATIO-TEMPORAL DATABASE; TRANSACTION DATABASE;

LOCATION;

EID: 78449283206     PISSN: 15504786     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/icdmw.2006.62     Document Type: Conference Paper

References (4)

1. th Int'l Conf. on Very Large Data Bases, Santiago, Chile, pp. 487-499.
2. Hadjieleftheriou, M., Kollios, G., Gunopulos, D., and Tsotras, V. J. (2003) "On-Line Discovery of Dense Areas in Spatio-temporal Databases," in Proc. of SSTD'03, pp. 306-324.
3. Roddick, J. F. and Spiliopoulou, M. (1999) "A Bibliography of Temporal, Spatial and Spatio-Temporal Data Mining Research," in SIGKDD Explorations 1(1), pp. 34-38.
4. Tsoukatos, I. and Gunopulos, D. (2001) "Efficient Mining of Spatiotemporal Patterns," in Proc. of SSTD'01, pp.425-442.