Big Data mining tools need to be empowered by computationally efficient techniques to increase their degree of efficiency. Using genetic algorithms over data mining creates great robust, computationally efficient, and adaptive systems. In fact, with an exponential explosion of data, data analytics techniques go on taking more time and inversely affect the throughput. Also, due to their static nature, complex hidden patterns are often left out. In this chapter, we want to show how to use genes to mine data with great efficiency. To achieve this objective, we are going to explore some of the basics of genetic programming and the fundamental algorithms. We are going to begin with some of the very basic principles of natural (biological) genetics and draw some parallels when it comes to applying the general theory to computer algorithms. We will cover the...
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