Mining temporal features in association rules

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 1704, Issue , 1999, Pages 295-300

  Chen, Xiaodong ^a   Petrounias, Ilias ^b  

^a MANCHESTER METROPOLITAN UNIVERSITY   (United Kingdom)

^b UNIVERSITY OF MANCHESTER   (United Kingdom)

Author keywords

[No Author keywords available]

Indexed keywords

ASSOCIATION RULES; BEHAVIORAL RESEARCH; DECISION MAKING;

REAL-WORLD; TEMPORAL FEATURES; TIME VARYING;

DATA MINING;

EID: 84956869225     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-540-48247-5_33     Document Type: Conference Paper

References (4)

1. Agrawal, R., Imielinski, T., and Swami, A, Mining Associations between Sets of Items in Massive Databases, Proceedings of ACM SIGMOD International Conference on Management of Data, Washington D.C., May 1993.
2. Chen, X., Petrounias, I., and Heathfield, H., Discovering Temporal Association Rules in Temporal Databases, Proceedings of International Workshop on Issues and Applications of Database Technology (IADT’98), Berlin, Germany, July 1998.
3. Chen, X. and Petrounias, I., A Framework for Temporal Data Mining, Proceedings of 9th International Conference on Database and Expert Systems Applications (DEXA’98), Vienna, 1998.
4. Ramaswamy, S., Mahajan, S., and Silberschatz, A., On the Discovery of Interesting Patterns in Association Rules, Proceedings of 24th VLDB Conference, New York, pp.368-379, 1998.