Data sets resulting from physical simulations typically contain a multitude of physical variables. It is, therefore, desirable that visualization methods take into account the enti...
Lars Linsen, Tran Van Long, Paul Rosenthal, Ste...
Scalable analysis on large data sets has been core to the functions of a number of teams at Facebook - both engineering and nonengineering. Apart from ad hoc analysis of data and ...
In order to make direct volume rendering practicable convenient visualization options and data analysis tools have to be integrated. For example, direct rendering of semi-transpar...
Abstract. In this paper we introduce a new approach to automatic attribute and granularity selection for building optimum regression trees. The method is based on the minimum descr...
Privacy-preserving data mining (PPDM) is an emergent research area that addresses the incorporation of privacy preserving concerns to data mining techniques. In this paper we prop...