Cantitate/Preț
Produs
Total produse
Vezi coșul
Techniques and Environments for Big Data Analysis: Parallel, Cloud, and Grid Computing de B. S.P. Mishra

Techniques and Environments for Big Data Analysis: Parallel, Cloud, and Grid Computing: Studies in Big Data, cartea 17

Editat de B. S.P. Mishra, Satchidananda Dehuri, Euiwhan Kim, Gi-Name Wang
en Limba Engleză Hardback – 16 feb 2016
This volume is aiming at a wide range of readers andresearchers in the area of Big Data by presenting the recent advances in the fieldsof Big Data Analysis, as well as the techniques and tools used to analyze it. The book includes 10 distinct chaptersproviding a concise introduction to Big Data Analysis and recent Techniques and Environments forBig Data Analysis. It gives insightinto how the expensive fitness evaluation of evolutionarylearning can play a vital role in big data analysis by adopting Parallel, Grid, and Cloud computing environments.
Citește tot Restrânge

Toate formatele și edițiile

Toate formatele și edițiile Preț Express
Paperback (1) 62788 lei  6-8 săpt.
  Springer International Publishing – 30 mar 2018 62788 lei  6-8 săpt.
Hardback (1) 63404 lei  6-8 săpt.
  Springer International Publishing – 16 feb 2016 63404 lei  6-8 săpt.

Din seria Studies in Big Data

Preț: 63404 lei

Preț vechi: 79255 lei
-20% Nou

Puncte Express: 951
Preț estimativ în valută:
12135€ • 12614$ • 10052£

Carte tipărită la comandă

Livrare economică 05-19 februarie 25

 Adaugă în coș

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

Specificații

ISBN-13: 9783319275185
ISBN-10: 3319275186
Pagini: 250
Ilustrații: XI, 191 p. 103 illus., 76 illus. in color.
Dimensiuni: 155 x 235 x 13 mm
Greutate: 0.46 kg
Ediția:1st ed. 2016
Editura: Springer International Publishing
Colecția Springer
Seria Studies in Big Data

Locul publicării:Cham, Switzerland

Public țintă

Research

Cuprins

Introduction to Big Data Analysis.- Parallel Environments.- A Deep Dive into the Hadoop World to Explore its Various
Performances.- Natural Language Processing and Machine Learning for Big Data.- Big Data and Cyber Foraging: Future Scope and Challenges.- Parallel GA in Big Data Analysis.- Evolutionary Algorithm Based Techniques to Handle Big Data.- Statistical and Evolutionary Feature Selection Techniques
Parallelized using MapReduce Programming Model.- A Data Aware Scheme for Scheduling Big-Data Applications on SAVANNA Hadoop.- The Role of Grid Technologies: A Next Level Combat with Big Data.

Textul de pe ultima copertă

This volume is aiming at a wide range of readers andresearchers in the area of Big Data by presenting the recent advances in the fieldsof Big Data Analysis, as well as the techniques and tools used to analyze it. The book includes 10 distinct chaptersproviding a concise introduction to Big Data Analysis and recent Techniques and Environments forBig Data Analysis. It gives insightinto how the expensive fitness evaluation of evolutionarylearning can play a vital role in big data analysis by adopting Parallel, Grid, and Cloud computing environments.

Caracteristici

Presents the recent advances in the fields of Big Data Analysis, as well as the techniques and tools used to analyze it Emphasis is on theoretical advances of Big Data and it’s practices in parallel, cloud, and grid environment Interesting and novel collection useful for researchers and students Includes supplementary material: sn.pub/extras