CONQUEST: A constraint-based querying system for exploratory pattern discovery

Proceedings - International Conference on Data Engineering

Volumn 2006, Issue , 2006, Pages 159-

  Bonchi, Francesco ^a   Giannotti, Fosca ^a   Lucchese, Claudio ^a,b   Orlando, Salvatore ^a,b   Perego, Raffaele ^a   Trasarti, Roberte ^a  

^a ISTI CNR   (Italy)

^b CA' FOSCARI UNIVERSITY OF VENICE   (Italy)

Author keywords

[No Author keywords available]

Indexed keywords

EXPLORATORY PATTERN DISCOVERY; MINING ENGINE; PATTERN DISCOVERY; QUERYING SYSTEM;

CONSTRAINT THEORY; COST EFFECTIVENESS; DATA MINING; QUERY LANGUAGES;

DATABASE SYSTEMS;

EID: 33749624189     PISSN: 10844627     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICDE.2006.42     Document Type: Conference Paper

References (5)

1. F. Bonchi, F. Giannotti, A. Mazzanti, and D. Pedreschi. ExAMiner: Optimized level-wise frequent pattern mining with monotone constraints. In Proceedings of ICDM'03.
2. F. Bonchi and C. Lucchese. Pushing tougher constraints in frequent pattern mining. In Proceedings of PAKDD '05.
3. R. T. Ng, L. V. S. Lakshmanan, J. Han, and A. Pang. Exploratory mining and pruning optimizations of constrained associations rules. In Proc. of SIGMOD'98.
4. S. Orlando, P. Palmerini, R. Perego, and F. Silvestri. Adaptive and Resource-A ware Mining of Frequent Sets. In Proceedings of ICDM'02.
5. J. Pei, J. Han, and L. V. S. Lakshmanan. Mining frequent item sets with convertible constraints. In Proceedings of ICDE'01.