Current data management approaches can easily handle the relatively simple requirements for molecular biology research but not the more varied and sophisticated microscopy imaging...
Life science researchers frequently need to query large protein data sets in a variety of different ways. Protein data sets have a rich structure that includes its primary structu...
String data is ubiquitous, and its management has taken on particular importance in the past few years. Approximate queries are very important on string data especially for more c...
The CenSSIS Image Database System is a scientific database that enables effective data management and collaboration to accelerate fundamental research. This paper describes the d...
Many scientific applications generate large spatiotemporal datasets. A common way of exploring these datasets is to identify and track regions of interest. Usually these regions ...
Kesheng Wu, Wendy S. Koegler, Jacqueline Chen, Ari...
The growing interest in genomic research has caused an explosive growth in the size of DNA databases making it increasely challenging to perform searches on them. In this paper, w...
Zhenqiang Tan, Xia Cao, Beng Chin Ooi, Anthony K. ...
In this paper, we define several disclosure risk measures for microdata. We will analyze disclosure risk based on the disclosure control techniques applied to initial microdata. D...
Traian Marius Truta, Farshad Fotouhi, Daniel C. Ba...
With increased demand for storage of scientific data comes a corresponding demand for efficient retrieval mechanisms necessary for analytical and reporting purposes. As is often...
Although traditional databases and data warehouses have been exploited widely to manage persistent data, a large number of applications from sensor network need functional support...
Many emerging applications benefit from the extraction of geospatial data specified at different resolutions for viewing purposes. Data must also be topologically accurate and up-...