Abstract. In recent years, support vector machines (SVMs) have become a popular tool for pattern recognition and machine learning. Training a SVM involves solving a constrained qua...
Visualization techniques provide an outstanding role in KDD process for data analysis and mining. However, one image does not always convey successfully the inherent information fr...
As part of the delivery an automated hub for a postal operator, the Solystic company has to build a complex and feature rich Information System that supports a highly automated pr...
Academic research sometimes suffers from the “ivory tower” problem: some ideas that sound good in theory do not necessarily work well in practice. An example of research that ...
Joseph E. Hollingsworth, Lori Blankenship, Bruce W...
Semantic Query Optimisation makes use of the semantic knowledge of a database (rules) to perform query transformation. Rules are normally learned from former queries fired by the u...