KDD
1994
ACM
13 years 8 months ago
1994
ACM
Semantic query optimization can dramatically speed up database query answering by knowledge intensive reformulation. But the problem of how to learn required semantic rules has no...
KDD
1994
ACM
13 years 8 months ago
1994
ACM
Oneof the mainobstacles in applying data mining techniques to large, real-world databasesis the lack of efficient data management.In this paper, wepresent the design and implement...
KDD
1994
ACM
13 years 8 months ago
1994
ACM
KDD
1994
ACM
13 years 8 months ago
1994
ACM
We describe scoring metrics for learning Bayesian networks from a combination of user knowledge and statistical data. We identify two important properties of metrics, which we cal...
KDD
1994
ACM
13 years 8 months ago
1994
ACM
Concepthierarchies organizedata andconceptsin hierarchical ]ormsor in certain partial order, which helps expressingknowledgeanddata relationships in databasesin concise, highlevel...
KDD
1994
ACM
13 years 8 months ago
1994
ACM
KDD
1994
ACM
13 years 8 months ago
1994
ACM
Wepresent a methodfor discovering informative patterns from data. With this method,large databases can be reducedto only a few representative data entries. Ourframeworkencompasses...
KDD
1994
ACM
13 years 8 months ago
1994
ACM
KDD
1994
ACM
13 years 8 months ago
1994
ACM
: The problem of transforming the knowledge bases of performance systems using induced rules or decision trees into comprehensible knowledgestructures is addressed. A knowledgestru...
KDD
1994
ACM
13 years 8 months ago
1994
ACM
Pre-Pruning and Post-Pruning are two standard methods of dealing with noise in concept learning. Pre-Pruning methods are very efficient, while Post-Pruning methods typically are m...