Description
Computational Intelligence for Big Data Analysis, Softcover reprint of the original 1st ed. 2015
Frontier Advances and Applications
Adaptation, Learning, and Optimization Series, Vol. 19
Coordinators: Acharjya D.P., Dehuri Satchidananda, Sanyal Sugata
Language: English
Subject for Computational Intelligence for Big Data Analysis:
Keywords
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
Publication date: 10-2016
Support: Print on demand
Publication date: 05-2015
267 p. · 15.5x23.5 cm · Hardback
Description
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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.
“Atrain Distributed System” (ADS) : An Infinitely Scalable Architecture for Processing Big Data of any 4Vs.- “Atrain Distributed System” (ADS) : An Infinitely Scalable Architecture for Processing Big Data of any 4Vs.- Learning Using Hybrid Intelligence Techniques.- Neutrosophic Sets and its Applications to Decision Making.- An Efficient Grouping Genetic Algorithm for Data Clustering and Big Data Analysis.- Self Organizing Migrating Algorithm with Nelder Mead Crossover and Log-Logisti Mutation for Large Scale Optimization.- A Spectrum of Big Data Applications for Data Analytics.- Fundamentals of Brain Signals and its Medical Application Using Data Analysis Techniques.- BigData: Processing of Data Intensive Applications on Cloud.- Framework for Supporting Heterogenous Clouds using Model Driven Approach.- Cloud based Big Data Analytics:WAN Optimization Techniques and Solutions.- Cloud Based E-Governance Solution: A Case Study.
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
