MSQL: A Query Language for Database Mining
Data Mining and Knowledge Discovery
Machine Learning
Data Mining in a Multidimensional Environment
ADBIS '99 Proceedings of the Third East European Conference on Advances in Databases and Information Systems
The Object Constraint Language: Getting Your Models Ready for MDA
The Object Constraint Language: Getting Your Models Ready for MDA
A UML profile for multidimensional modeling in data warehouses
Data & Knowledge Engineering - Special issue: ER 2003
Extending the UML for designing association rule mining models for data warehouses
DaWaK'05 Proceedings of the 7th international conference on Data Warehousing and Knowledge Discovery
Processing sequential patterns in relational databases
DaWaK'05 Proceedings of the 7th international conference on Data Warehousing and Knowledge Discovery
Toward data mining engineering: A software engineering approach
Information Systems
A UML profile for the conceptual modelling of data-mining with time-series in data warehouses
Information and Software Technology
Description logic based consistency checking upon data mining metadata
RSKT'08 Proceedings of the 3rd international conference on Rough sets and knowledge technology
Domain-specific language modelling with UML profiles by decoupling abstract and concrete syntaxes
Journal of Systems and Software
An extended predictive model markup language for data mining
WAIM'10 Proceedings of the 11th international conference on Web-age information management
DaWaK'07 Proceedings of the 9th international conference on Data Warehousing and Knowledge Discovery
Extending ER models to capture database transformations to build data sets for data mining
Data & Knowledge Engineering
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Classification is a data mining (DM) technique that generates classes allowing to predict and describe the behavior of a variable based on the characteristics of a dataset. Frequently, DM analysts need to classify large amounts of data using many attributes. Thus, data warehouses (DW) can play an important role in the DM process, because they can easily manage huge quantities of data. There are two approaches used to model mining techniques: the Common Warehouse Model (CWM) and the Predictive Model Markup Language (PMML), both focused on metadata interchanging and sharing, respectively. These standards do not take advantage of the underlying semantic rich multidimensional (MD) model which could save development time and cost. In this paper, we present a conceptual model for Classification and a UML profile that allows the design of Classification on MD models. Our goal is to facilitate the design of these mining models in a DW context by employing an expressive conceptual model that can be used on top of a MD model. Finally, using the designed profile, we implement a case study in a standard database system and show the results.