Mining association rules between sets of items in large databases
SIGMOD '93 Proceedings of the 1993 ACM SIGMOD international conference on Management of data
MSQL: A Query Language for Database Mining
Data Mining and Knowledge Discovery
A New SQL-like Operator for Mining Association Rules
VLDB '96 Proceedings of the 22th International Conference on Very Large Data Bases
Data Mining in a Multidimensional Environment
ADBIS '99 Proceedings of the Third East European Conference on Advances in Databases and Information Systems
A Comparison between Query Languages for the Extraction of Association Rules
DaWaK 2000 Proceedings of the 4th International Conference on Data Warehousing and Knowledge Discovery
Analysis of UML Stereotypes within the UML Metamodel
UML '02 Proceedings of the 5th International Conference on The Unified Modeling Language
Extending the UML for Multidimensional Modeling
UML '02 Proceedings of the 5th International Conference on The Unified Modeling Language
Multidimensional Modeling with UML Package Diagrams
ER '02 Proceedings of the 21st International Conference on Conceptual Modeling
Mining Association Rules in Multiple Relations
ILP '97 Proceedings of the 7th International Workshop on Inductive Logic Programming
Ad-Hoc Association-Rule Mining within the Data Warehouse
HICSS '03 Proceedings of the 36th Annual Hawaii International Conference on System Sciences (HICSS'03) - Track 8 - Volume 8
Mining Association Rules from Stars
ICDM '02 Proceedings of the 2002 IEEE International Conference on Data Mining
The Object Constraint Language: Getting Your Models Ready for MDA
The Object Constraint Language: Getting Your Models Ready for MDA
Research in data warehouse modeling and design: dead or alive?
DOLAP '06 Proceedings of the 9th ACM international workshop on Data warehousing and OLAP
A UML profile for the conceptual modelling of data-mining with time-series in data warehouses
Information and Software Technology
Domain-specific language modelling with UML profiles by decoupling abstract and concrete syntaxes
Journal of Systems and Software
Conceptual modeling for classification mining in data warehouses
DaWaK'06 Proceedings of the 8th international conference on Data Warehousing and Knowledge Discovery
DaWaK'07 Proceedings of the 9th international conference on Data Warehousing and Knowledge Discovery
Hi-index | 0.00 |
Association rules (AR) are one of the most popular data mining techniques in searching databases for frequently occurring patterns. In this paper, we present a novel approach to accomplish the conceptual design of data warehouses together with data mining association rules, allowing us to implement the association rules defined in the conceptual modeling phase. The great advantage of our approach is that the association rules are specified from the early stages of a data warehouse project and based on the main final user requirements and data warehouse goals, instead of specifying them on the final database implementation structures such as tables, rows or columns. Finally, to show the benefit of our approach we implement the specified association rules on a commercial data warehouse management server.