Publication date
January 2002
DOIAbstract
Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining52-6
Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining52-6
10.1007/978-3-540-78568-2_8Lecture Notes in Computer Science (including subseries Lecture Notes in A...
Finding class association rules (CARs) is one of the most important research topics in data mining a...
Proceedings of 2004 International Conference on Machine Learning and Cybernetics52655-266
Proceeding of the Sixth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining20...
Proceedings of the Seventh ACM SIGKDD International Conference on Knowledge Discovery and Data Minin...
Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining2006803...
Proceedings of the Seventh ACM SIGKDD International Conference on Knowledge Discovery and Data Minin...
Proceedings of the Seventh ACM SIGKDD International Conference on Knowledge Discovery and Data Minin...
Abstract — This research aims at studying the method for association rule mining on multiple dataset...
Proceedings of the International Conference on Tools with Artificial Intelligence530-536PCTI
Knowledge discovery from data scope is quite a young concept but is becoming more and more popular. ...
Mining sequential rules from large databases is an important topic in data mining fields with wide a...
Proceedings - IEEE Computer Society's International Computer Software and Applications Conference309...
The 5th International Workshop on Knowledge Discovery in Inductive Databases (KDID 2006) was held on...
Knowledge discovery in databases, or data mining, is the process of finding interesting patterns in ...
10.1007/978-3-540-78568-2_8Lecture Notes in Computer Science (including subseries Lecture Notes in A...
Finding class association rules (CARs) is one of the most important research topics in data mining a...
Proceedings of 2004 International Conference on Machine Learning and Cybernetics52655-266
Proceeding of the Sixth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining20...
Proceedings of the Seventh ACM SIGKDD International Conference on Knowledge Discovery and Data Minin...
Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining2006803...
Proceedings of the Seventh ACM SIGKDD International Conference on Knowledge Discovery and Data Minin...
Proceedings of the Seventh ACM SIGKDD International Conference on Knowledge Discovery and Data Minin...
Abstract — This research aims at studying the method for association rule mining on multiple dataset...
Proceedings of the International Conference on Tools with Artificial Intelligence530-536PCTI
Knowledge discovery from data scope is quite a young concept but is becoming more and more popular. ...
Mining sequential rules from large databases is an important topic in data mining fields with wide a...
Proceedings - IEEE Computer Society's International Computer Software and Applications Conference309...
The 5th International Workshop on Knowledge Discovery in Inductive Databases (KDID 2006) was held on...
Knowledge discovery in databases, or data mining, is the process of finding interesting patterns in ...
10.1007/978-3-540-78568-2_8Lecture Notes in Computer Science (including subseries Lecture Notes in A...
Finding class association rules (CARs) is one of the most important research topics in data mining a...
Proceedings of 2004 International Conference on Machine Learning and Cybernetics52655-266
Add to ORKG