The Use of Background Knowledge in Decision Tree Induction
Machine Learning
Building the data warehouse (2nd ed.)
Building the data warehouse (2nd ed.)
The data warehouse toolkit: practical techniques for building dimensional data warehouses
The data warehouse toolkit: practical techniques for building dimensional data warehouses
The KDD process for extracting useful knowledge from volumes of data
Communications of the ACM
An overview of data warehousing and OLAP technology
ACM SIGMOD Record
Hierarchy-based mining of association rules in data warehouses
SAC '00 Proceedings of the 2000 ACM symposium on Applied computing - Volume 1
Data mining: concepts and techniques
Data mining: concepts and techniques
Ontology-guided knowledge discovery in databases
Proceedings of the 1st international conference on Knowledge capture
Incremental Generalization for Mining in a Data Warehousing Environment
EDBT '98 Proceedings of the 6th International Conference on Extending Database Technology: Advances in Database Technology
Maintenance of Discovered Association Rules in Large Databases: An Incremental Updating Technique
ICDE '96 Proceedings of the Twelfth International Conference on Data Engineering
FARM: A Framework for Exploring Mining Spaces with Multiple Attributes
ICDM '01 Proceedings of the 2001 IEEE International Conference on Data Mining
The Role of Domain Knowledge in a Large Scale Data Mining Project
SETN '02 Proceedings of the Second Hellenic Conference on AI: Methods and Applications of Artificial Intelligence
Incremental Clustering for Mining in a Data Warehousing Environment
VLDB '98 Proceedings of the 24rd International Conference on Very Large Data Bases
Discovery of Multiple-Level Association Rules from Large Databases
VLDB '95 Proceedings of the 21th International Conference on Very Large Data Bases
Mining Generalized Association Rules
VLDB '95 Proceedings of the 21th International Conference on Very Large Data Bases
Towards Efficient Data Re-mining (DRM)
PAKDD '01 Proceedings of the 5th Pacific-Asia Conference on Knowledge Discovery and Data Mining
DBMiner: a system for data mining in relational databases and data warehouses
CASCON '97 Proceedings of the 1997 conference of the Centre for Advanced Studies on Collaborative research
Mining Association Rules from Stars
ICDM '02 Proceedings of the 2002 IEEE International Conference on Data Mining
User-directed Exploration of Mining Space with Multiple Attributes
ICDM '02 Proceedings of the 2002 IEEE International Conference on Data Mining
Ontology-based Integration of OLAP and Information Retrieval
DEXA '03 Proceedings of the 14th International Workshop on Database and Expert Systems Applications
Inducing Multi-Level Association Rules from Multiple Relations
Machine Learning
IEEE Transactions on Knowledge and Data Engineering
Mining Association Rules from the Star Schema on a Parallel NCR Teradata Database System
ITCC '05 Proceedings of the International Conference on Information Technology: Coding and Computing (ITCC'05) - Volume I - Volume 01
Invited Paper: Intelligent Data Mining Assistance via CBR and Ontologies
DEXA '06 Proceedings of the 17th International Conference on Database and Expert Systems Applications
Enhanced mining of association rules from data cubes
DOLAP '06 Proceedings of the 9th ACM international workshop on Data warehousing and OLAP
Domain ontology driven data mining: a medical case study
Proceedings of the 2007 international workshop on Domain driven data mining
Mining Association Rules with Ontological Information
ICICIC '07 Proceedings of the Second International Conference on Innovative Computing, Informatio and Control
Framework for formal implementation of the business understanding phase of data mining projects
Expert Systems with Applications: An International Journal
Post-Processing of Discovered Association Rules Using Ontologies
ICDMW '08 Proceedings of the 2008 IEEE International Conference on Data Mining Workshops
Ontology-based data mining approach implemented on exploring product and brand spectrum
Expert Systems with Applications: An International Journal
International Journal of Intelligent Information and Database Systems
OntoDataClean: ontology-based integration and preprocessing of distributed data
ISBMDA'06 Proceedings of the 7th international conference on Biological and Medical Data Analysis
Data summarization ontology-based query processing
Expert Systems with Applications: An International Journal
| Hi-index | 12.05 |
A data warehouse is an important decision support system with cleaned and integrated data for knowledge discovery and data mining systems. In reality, the data warehouse mining system has provided many applicable solutions in industries, yet there are still many problems causing users extra problems in discovering knowledge or even failing to obtain the real and useful knowledge they need. To improve the overall data warehouse mining process, we present an intelligent data warehouse mining approach incorporated with schema ontology, schema constraint ontology, domain ontology and user preference ontology. The structures of these ontologies are illustrated and how they benefit the mining process is also demonstrated by examples utilizing rule mining. Finally, we present a prototype multidimensional association mining system, which with intelligent assistance through the support of the ontologies, can help users build useful data mining models, prevent ineffective pattern generation, discover concept extended rules, and provide an active knowledge re-discovering mechanism.