Clustering algorithms typically operate on a feature vector representation of the data and find clusters that are compact with respect to an assumed (dis)similarity measure betwee...
Current data management approaches can easily handle the relatively simple requirements for molecular biology research but not the more varied and sophisticated microscopy imaging...
Workflow management, one of the important technologies for supporting collaborative work, requires database technologies like distributed data management or transaction management...
We consider spatio-temporal databases supporting spatial objects with continuously changing position and extent, termed moving objects databases. We formally define a data model f...
ract One important aspect of scientific data management is metadata management. Metadata is information about data (e.g., content, source, processing applied, precision). One kind ...
Nabil I. Hachem, Ke Qiu, Michael A. Gennert, Matth...