Size and complexity of data repositories collaboratively created by Web users generate a need for new processing approaches. In this paper, we study the problem of detection of ï¬...
A novel data source for assessing traffic conditions is floating car data (FCD) in the form of vehicle tracking data, or, in database terms, trajectory data. This work proposes pr...
In the present paper we explain the basic ideas of Robust Perron Cluster Analysis (PCCA+) and exemplify the different application areas of this new and powerful method. Recently, ...
Design of cluster file system is very important for building a general-purpose cluster with commodity components. To provide scalable high I/O performance needed in the scientific...
Principal component analysis (PCA) is a widely used statistical technique for unsupervised dimension reduction. K-means clustering is a commonly used data clustering for unsupervi...