Over a period spanning more than a decade, support vector machines (SVMs) have evolved into a leading machine learning technique. SVMs are being applied to a wide range of problems, including bioinformatics, face recognition, text classification and many more. It is fair to say that SVMs are one of the most important methods used for data mining with a wide range of software available to support their application.