Data clustering methods have many applications in the area of data mining. Traditional clustering algorithms deal with quantitative or categorical data points. However, there exist...
Tadeusz Morzy, Marek Wojciechowski, Maciej Zakrzew...
Abstract. The last advances in commodity hardware have allowed users of immersive visualization to create high-performance systems using a set of interconnected computers. These sy...
Aron Bierbaum, Patrick Hartling, Pedro Morillo, Ca...
: Agile Modeling (AM) is a practice-based methodology for effective modeling of software-based systems. Where the Unified Modeling Language (UML) defines a subset of the modeling t...
Continuous system dynamics can be described by, possibly large, systems of di erential equations. These can be either ordinary di erential equations (ODEs) or contain algebraic con...
The primary constraint in the effective mining of data streams is the large volume of data which must be processed in real time. In many cases, it is desirable to store a summary...