Mining association rules between sets of items in large databases
SIGMOD '93 Proceedings of the 1993 ACM SIGMOD international conference on Management of data
From data mining to knowledge discovery: an overview
Advances in knowledge discovery and data mining
Principles of data mining
Fast Algorithms for Mining Association Rules in Large Databases
VLDB '94 Proceedings of the 20th International Conference on Very Large Data Bases
Data Mining and Knowledge Discovery in Databases: Implications for Scientific Databases
SSDBM '97 Proceedings of the Ninth International Conference on Scientific and Statistical Database Management
A Majority Rules Approach to Data Mining
IIS '97 Proceedings of the 1997 IASTED International Conference on Intelligent Information Systems (IIS '97)
Association rules mining using heavy itemsets
Data & Knowledge Engineering
Mining association rules with multi-dimensional constraints
Journal of Systems and Software
| Hi-index | 0.00 |
KDD was applied to the knowledge mining of mechanical structure symmetry design, and a KDD process was established. The models and relational database tables of structure design knowledge and symmetric samples according with KDD technology were set up, and then the technologies of OLAP and associating analysis were applied to obtain bidirectional mapping relationship between structure symmetries and principles of structure design or rules of structure design, which can direct how the symmetry may be applied to mechanical structure design.