The volume, complexity, and irregularity of computational data in modern algorithms and simulations necessitates an unorthodox approach to computing. Understanding the facets and possibilities of soft computing algorithms is necessary for the accurate and timely processing of complex data. Research Advances in the Integration of Big Data and Smart Computing builds on the available literature in the realm of Big Data while providing further research opportunities in this dynamic field. This publication provides the resources necessary for technology developers, scientists, and policymakers to adopt and implement new paradigms in computational methods across the globe. The chapters in this publication advance the body of knowledge on soft computing techniques through topics such as transmission control protocol for mobile ad hoc networks, feature extraction, comparative analysis of filtering techniques, big data in economic policy, and advanced dimensionality reduction methods.Application of the Karhunen-Loeave Proce-dure for the Characterisation of Human Faces. ... Neural networks: Basics using matlab neural network toolbox. MathWorks. Komatsu, Sato, Arai, Koyama, Takizawa, aamp; Kobayashi. (2010). ... A study of Edge Detection Techniques for Segmentation Computing Approaches. IJCA.
|Title||:||Research Advances in the Integration of Big Data and Smart Computing|
|Author||:||Mallick, Pradeep Kumar|
|Publisher||:||IGI Global - 2015-10-13|