Data Mining and Knowledge Discovery in Databases (KDD) are rapidly evolving areas of research that contribute to several disciplines including Mathematics, Statistics, Pattern Recognition, Visualization, and Parallel Computing. This paper is projected to serve as an overview to the concepts of these rapidly evolving research and application areas. The basic concepts of these areas are outlined in this paper with some key ideas and motivate the importance of data mining concepts applied in Mathematical Techniques.