Nature-Inspired Algorithms for Big Data Frameworks

Presents research on the methods and applications of extracting meaningful information from data using algorithms that are capable of handling the constraints of processing time, memory usage, and the dynamic and unstructured nature of data. The book highlights topics including genetic algorithms, data classification, and wireless sensor networks.