Model Driven Data Integration is a data integration approach that proactively incorporates and utilizes metadata across the data integration process. By decoupling data and metadata, MDDI drastically reduces complexity of data integration; whilst also providing an integrated standard development method, which is associated with Model Driven Architecture. This paper introduces a case study to adopt MDA technology as an MDDI framework for data centric software development; including data merging and data customization for data mining. A data merging model is also proposed to define relationships between different models at a conceptual level which is then transformed into a physical model. In this case study we collect and integrate historical data from various universities into the Data Warehouse system in order to develop student intervention services through data mining.
|Title of host publication||DSMM '09 Proceedings of the ACM first international workshop on Data-intensive software management and mining|
|Publication status||Published - 6 Nov 2009|
|Event||Proceeding of the ACM first international workshop - Hong Kong, China|
Duration: 6 Nov 2009 → 6 Nov 2009
|Conference||Proceeding of the ACM first international workshop|
|Period||6/11/09 → 6/11/09|