PROWL: An efficient frequent continuity mining algorithm on event sequences

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

Volumn 3181, Issue , 2004, Pages 351-360

  Huang, Kuo Yu ^a   Chang, Chia Hui ^a   Lin, Kuo Zui ^a  

^a NATIONAL CENTRAL UNIVERSITY   (Taiwan)

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHMS; ASSOCIATION RULES; DATA WAREHOUSES; REAL TIME SYSTEMS;

DATA MINING PROBLEMS; ENUMERATION APPROACHES; EXPERIMENTAL EVALUATION; FREQUENT CONTINUITY; INTER TRANSACTIONS; MINING ALGORITHMS; MINING ASSOCIATIONS; SYNTHETIC DATABASE;

DATA MINING;

EID: 35048860450     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-540-30076-2_35     Document Type: Article

References (4)

1. K.Y. Huang and C.H. Chang. Asynchronous periodic patterns mining in temporal databases. In Proc. of the IASTED International Conference on Databases and Applications (DBA), pages 43-48, 2004.
2. Heikki Mannila, Hannu Toivonen, and A. Inkeri Verkamo. Discovering frequent episodes in sequences. In Proc. of the First International Conference on Knowledge Discovery and Data Mining, pages 210-215, 1995.
3. A. K. H. Tung, J. Han H. Lu, and L. Feng. Breaking the barrier of transactions: Mining inter-transaction association rules. In Proc. of the International Conference on Knowledge Discovery and Data Mining, pages 297-301, 1999.
4. A. K. H. Tung, J. Han H. Lu, and L. Feng. Efficient mining of intertransaction association rules. IEEE Transactions on Knowledge and Data Engineering, 15(1):43-56, 2003.