Computational Intelligence in Data Mining - Volume 3
The contributed volume aims to explicate and address the difficulties and challenges for the seamless integration of two core disciplines of computer science, i.e., computational intelligence and data mining. Data Mining aims at the automatic discovery of underlying non-trivial knowledge from datasets by applying intelligent analysis techniques. The interest in this research area has experienced a considerable growth in the last years due to two key factors: (a) knowledge hidden in organizationsa databases can be exploited to improve strategic and managerial decision-making; (b) the large volume of data managed by organizations makes it impossible to carry out a manual analysis. The book addresses different methods and techniques of integration for enhancing the overall goal of data mining. The book helps to disseminate the knowledge about some innovative, active research directions in the field of data mining, machine and computational intelligence, along with some current issues and applications of related topics.Two inputs are selected with the help of de-multiplexer which is stored inside the buffer block. After addition and subtraction of two inputs with a twiddle factor multiplication final FFT will come. The verilog program is compiled in Xilinx 13.4 toanbsp;...
| Title | : | Computational Intelligence in Data Mining - Volume 3 |
| Author | : | Lakhmi C. Jain, Himansu Sekhar Behera, Jyotsna Kumar Mandal, Durga Prasad Mohapatra |
| Publisher | : | Springer - 2014-12-11 |
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