With the Associative Kruskal Wallis (AKW) algorithm serving as our feature selection tool we can boost model accuracy while minimizing needed computational time across extensive datasets. Our methodology employs a MapReduce framework to handle big data effectively which addresses the difficulties of ...
In our approach, the weights of the classifiers are optimized using genetic algorithm to achieve this goal. GA is used in many distinct optimization concepts because it does not require any particular knowledge about problem domain. First, the GA uses problem space to randomly pick different ...