Cantitate/Preț
Produs
Total produse
Vezi coșul
Computational Intelligence for Big Data Analysis: Frontier Advances and Applications de D.P. Acharjya

Computational Intelligence for Big Data Analysis: Frontier Advances and Applications: Adaptation, Learning, and Optimization, cartea 19

Editat de D.P. Acharjya, Satchidananda Dehuri, Sugata Sanyal
en Limba Engleză Hardback – 4 mai 2015
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.
Citește tot Restrânge

Toate formatele și edițiile

Toate formatele și edițiile Preț Express
Paperback (1) 62666 lei  43-57 zile
  Springer International Publishing – 9 oct 2016 62666 lei  43-57 zile
Hardback (1) 63276 lei  43-57 zile
  Springer International Publishing – 4 mai 2015 63276 lei  43-57 zile

Din seria Adaptation, Learning, and Optimization

Preț: 63276 lei

Preț vechi: 79095 lei
-20% Nou

Puncte Express: 949
Preț estimativ în valută:
12111€ • 12623$ • 10082£

Carte tipărită la comandă

Livrare economică 06-20 ianuarie 25

 Adaugă în coș

Wish list
Gift list
Am citit!
Adaugă în listă
Preluare comenzi: 021 569.72.76

Specificații

ISBN-13: 9783319165974
ISBN-10: 3319165976
Pagini: 260
Ilustrații: XX, 267 p. 83 illus., 12 illus. in color.
Dimensiuni: 155 x 235 x 22 mm
Greutate: 0.58 kg
Ediția:2015
Editura: Springer International Publishing
Colecția Springer
Seria Adaptation, Learning, and Optimization

Locul publicării:Cham, Switzerland

Public țintă

Research

Cuprins

“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.

Textul de pe ultima copertă

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.

Caracteristici

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