Multimedia data warehouses: a multiversion model and a medical application
Multimedia Tools and Applications
Proceedings of the 2008 ACM SIGMOD international conference on Management of data
A UML profile for the conceptual modelling of data-mining with time-series in data warehouses
Information and Software Technology
S-OLAP: an OLAP system for analyzing sequence data
Proceedings of the 2010 ACM SIGMOD International Conference on Management of data
iCube: A similarity-based data cube for medical images
CBMS '10 Proceedings of the 2010 IEEE 23rd International Symposium on Computer-Based Medical Systems
OLAP-Like analysis of time point-based sequential data
ER'12 Proceedings of the 2012 international conference on Advances in Conceptual Modeling
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Medical images are fundamental in medical processes particularly in the disease surveillance which is a practice that enables to monitor the evolution of patients' states. This practice cannot be understood and described only by a current image but requires the observation of image sequences in order to follow up the evolution of the disease from one human body location to another. This work aims to model a data warehouse where images and their related sequences are gathered and analyzed for decision making purposes such as disease evolution surveillance. The images' features are gathered as intrinsic features representing both the content-based and the description-based descriptors combined to the experts' annotations. We take into account the various modalities of images with the related temporal relationships which describe the sequence, and the conventional dimensions interfering for the target analysis.