Frequently asked questions

Q: What is the significance of genetic algorithms to data mining? A: With a growing number of data sources and hence an increase in volume, it is difficult to derive actionable insights from these data assets in reasonable time, despite exponentially growing computation power. We need smart algorithms to search through the solution space. Nature provides inspiration with the evolution of life on Earth. With the use of genetic algorithms we can greatly optimize the search and other data mining activities. Q: What are the basic components of a GA? A: Population initialization, fitness assignment, selection, crossover, mutation, and survivor selection are the basic components of a GA. We need to tune the parameter ...

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