Big Data Suite for Market Prediction and Reducing Complexity Using Bloom Filter

ABSTRACT A Bloom filter is helpful for achieving fast results and optimization in Big Data applications. Further, the probabilistic approach can be extended for market predictions. A varied number of algorithms can be used for attaining optimized results. Two such algorithms providing suitable results are differential evolution and genetic algorithms. Customer reviews are optimized using differential evolution (DE) and the genetic algorithm (GA) are also discussed in this chapter.