The process of collecting, sharing, retrieving, and analyzing data is common in many areas of scientific work. While each field has its own workflows and best practices, the general process can be aided by an e-Science infrastructure. The contribution of this thesis is to support the workflow of the scientists which can be split in four parts: In the first part, we introduce xBook, a framework which aids the creation of database application to collect, back-up, and share data. In the second part, we describe the synchronization which is a vital part of the xBook framework that, with the use of timestamps, allows data to be entered offline. The data then can be shared with coworkers for analyses or further processing. It also can be u...
Prediction problems on high-dimensional molecular data, e.g. the classification of microar- ray sam...
Virtual worlds attract millions of users and these popular applications --supported by gigantic data...
This thesis presents new methods for the analysis of high-throughput data from modern sources in the...
The process of collecting, sharing, retrieving, and analyzing data is common in many areas of scient...
The recovery and analysis of material culture is the main focus of archaeo-related work. The corpus ...
With the widespread use of information technologies, more and more complex data is generated and col...
The Belle II experiment, the upgrade of the Belle experiment, at KEK (High Energy Accelerator Resear...
Machine learning is aimed at the automatic extraction of semantic-level information from potentially...
With the advance of high-throughput techniques, the amount of available data in the bio-molecular fi...
Storage Area Networks (SANs) connect groups of storage devices to servers over fast interconnects, s...
Le secteur des TIC (Technologies de l'Information et de la Communication) est grand consommateur d'é...
The thesis presents a contribution to the analysis and visualization of computational performance ba...
Complex networked applications are assembled by connecting software componentsdistributed across mul...
The LHC is the largest particle accelerator and storage ring in the world, used to investigate funda...
Die Selbstlokalisierung von Automobilen, Robotern oder unbemannten Luftfahrzeugen sowie die Selbstlo...
Prediction problems on high-dimensional molecular data, e.g. the classification of microar- ray sam...
Virtual worlds attract millions of users and these popular applications --supported by gigantic data...
This thesis presents new methods for the analysis of high-throughput data from modern sources in the...
The process of collecting, sharing, retrieving, and analyzing data is common in many areas of scient...
The recovery and analysis of material culture is the main focus of archaeo-related work. The corpus ...
With the widespread use of information technologies, more and more complex data is generated and col...
The Belle II experiment, the upgrade of the Belle experiment, at KEK (High Energy Accelerator Resear...
Machine learning is aimed at the automatic extraction of semantic-level information from potentially...
With the advance of high-throughput techniques, the amount of available data in the bio-molecular fi...
Storage Area Networks (SANs) connect groups of storage devices to servers over fast interconnects, s...
Le secteur des TIC (Technologies de l'Information et de la Communication) est grand consommateur d'é...
The thesis presents a contribution to the analysis and visualization of computational performance ba...
Complex networked applications are assembled by connecting software componentsdistributed across mul...
The LHC is the largest particle accelerator and storage ring in the world, used to investigate funda...
Die Selbstlokalisierung von Automobilen, Robotern oder unbemannten Luftfahrzeugen sowie die Selbstlo...
Prediction problems on high-dimensional molecular data, e.g. the classification of microar- ray sam...
Virtual worlds attract millions of users and these popular applications --supported by gigantic data...
This thesis presents new methods for the analysis of high-throughput data from modern sources in the...