Most data-mining techniques seek a single model that optimizes an objective function with respect to the data. In many real-world applications several models will equally optimize...
In this study, a hybrid intelligent data mining methodology, genetic algorithm based support vector machine (GASVM) model, is proposed to explore stock market tendency. In this hyb...
Homeland security measures are increasing the amount of data collected, processed and mined. At the same time, owners of the data raised legitimate concern about their privacy and...
This paper describes the use of the Virtual Reality Modeling Language (VRML) in the VIM - Visual Interface to Manufacturing system. The VIM prototype demonstrates the technical fe...
Sandy Ressler, Qiming Wang, Scott Bodarky, Charles...
High-dimensional data poses a severe challenge for data mining. Feature selection is a frequently used technique in preprocessing high-dimensional data for successful data mining....