Computational Intelligence for Big Data Analysis
Frontier Advances and Applications
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Beschreibung
The work presented in this book is a combination of theoretical advancements of big data analysis, cloud computing, and their potential applications in scientific computing. The theoretical advancements are supported with illustrative examples and its applications in handling real life problems. The applications are mostly undertaken from real life situations. The book discusses major issues pertaining to big data analysis using computational intelligence techniques and some issues of cloud computing. An elaborate bibliography is provided at the end of each chapter. The material in this book includes concepts, figures, graphs, and tables to guide researchers in the area of big data analysis and cloud computing.
The work presented in this book is a combination of theoretical advancements of big data analysis, cloud computing, and their potential applications in scientific computing. The theoretical advancements are supported with illustrative examples and its applications in handling real life problems. The applications are mostly undertaken from real life situations. The book discusses major issues pertaining to big data analysis using computational intelligence techniques and some issues of cloud computing. An elaborate bibliography is provided at the end of each chapter. The material in this book includes concepts, figures, graphs, and tables to guide researchers in the area of big data analysis and cloud computing.
Provides recent advances in the fields of big data analysis Emphasizes on theoretical advances and its applications to real life problems Presents theoretical foundations, architecture and tools for big data Treats analytical issues as well as industry and engineering applications
Autor*in
D.P. Acharjya
Themen in »Computational Intelligence for Big Data Analysis«
Big-data Science and Foundations Computational Intelligence Data Data Mining Fuzzy Set Big Data Genetic Algorithm Data Knowledge Discovery Databases Knowledge Representation Machine Learning for Big Data Near Set Neural Network Ontology Rough Computing Semantics Soft Set Swarm Intelligence