The grand tour, one of the most popular methods for multidimensional data exploration, is based on orthogonally projecting multidimensional data to a sequence of lower dimensional...
Comprehensive data analysis has become indispensable in a variety of environments. Standard OLAP (On-Line Analytical Processing) systems, designed for satisfying the reporting need...
To fulfill the requirement of fast interactive multidimensional data analysis, database systems precompute aggregate views on some subsets of dimensions and their corresponding hi...
Amit Shukla, Prasad Deshpande, Jeffrey F. Naughton
In this paper we address an issue common in the frame of WWW, namely information entities that present di erent facets under di erent contexts (or worlds). Handling such multifacet...
In visualising multidimensional data, it is well known that different types of data require different types of algorithms to process them. Data sets might be distinguished accordi...
In the analysis of multidimensional data sets questions involving detection of extremal events, correlations, patterns and trends play an increasingly important role in a variety ...
Christian Tominski, James Abello, Heidrun Schumann
Abstract. In emerging database applications that deal with large sets of multidimensional data, the performance of the query system significantly depends on the performance of its ...
In any multidimensional visualization, some information has to be compromised when projecting multidimensional data to two- or three-dimensional space. We introduce the concepts of...
Mean shift based feature space analysis has been shown to be an elegant, accurate and robust technique. The elegance in this non-parametric algorithm is mainly due to its simplici...
— Peer-to-peer (P2P) systems have been widely used for exchange of voluminous information and resources among thousands or even millions of users. Since shared data are normally ...