Computational Intelligence for Big Data Analysis

Frontier Advances and Applications
Buch | Hardcover
XX, 267 Seiten
2015 | 2015
Springer International Publishing (Verlag)
978-3-319-16597-4 (ISBN)

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Computational Intelligence for Big Data Analysis -
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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.

Erscheint lt. Verlag 4.5.2015
Reihe/Serie Adaptation, Learning, and Optimization
Zusatzinfo XX, 267 p. 83 illus., 12 illus. in color.
Verlagsort Cham
Sprache englisch
Maße 155 x 235 mm
Themenwelt Informatik Datenbanken Data Warehouse / Data Mining
Informatik Theorie / Studium Künstliche Intelligenz / Robotik
Technik
Schlagworte 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
ISBN-10 3-319-16597-6 / 3319165976
ISBN-13 978-3-319-16597-4 / 9783319165974
Zustand Neuware
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