Abstract—We propose a robust fitting framework, called Adaptive Kernel-Scale Weighted Hypotheses (AKSWH), to segment multiplestructure data even in the presence of a large number...
We present a system for three-dimensional visualization of complex Liquid Chromatography - Mass Spectrometry (LCMS) data. Every LCMS data point has three attributes: time, mass, a...
Data warehouses are of crucial importance to decision-making in competitive organizations. The fact that they store enormous quantities of data is a challenge in what concerns per...
Abstract. Data declustering speeds up large data set retrieval by partitioning the data across multiple disks or sites and performing retrievals in parallel. Performance is determi...
Hak-Cheol Kim, Mario A. Lopez, Scott T. Leutenegge...
Traffic information systems based on mobile, in-car sensor technology are a challenge for data management systems as a huge amount of data has to be processed in real-time. Data m...