B P Mishra | Akateeminen Kirjakauppa

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TECHNIQUES AND ENVIRONMENTS FOR BIG DATA ANALYSIS : PARALLEL, CLOUD, AND GRID COMPUTING

B. S.P. Mishra (ed.); Satchidananda Dehuri (ed.); Euiwhan Kim (ed.); Gi-Name Wang (ed.)
Springer (2016)
Kovakantinen kirja

101,40 €

TECHNIQUES AND ENVIRONMENTS FOR BIG DATA ANALYSIS : PARALLEL, CLOUD, AND GRID COMPUTING

B. S.P. Mishra (ed.); Satchidananda Dehuri (ed.); Euiwhan Kim (ed.); Gi-Name Wang (ed.)
Springer (2018)
Pehmeäkantinen kirja

101,40 €

SMART CITIES FOR SUSTAINABLE DEVELOPMENT

Ram Kumar Mishra (ed.); Ch Lakshmi Kumari (ed.); Sandeep Chachra (ed.); P. S. Janaki Krishna (ed.); Anupama Dubey (ed.); Si
Springer (2022)
Kovakantinen kirja

134,60 €

SMART CITIES FOR SUSTAINABLE DEVELOPMENT

Ram Kumar Mishra (ed.); Ch Lakshmi Kumari (ed.); Sandeep Chachra (ed.); P. S. Janaki Krishna (ed.); Anupama Dubey (ed.); Si
Springer
Pehmeäkantinen kirja

134,60 €

ANIMAL DRAWN ROTARY TILLER

Sandip Nage; Uddhao Kankal; B P Mishra
LAP Lambert Academic Publishing (2014)
Pehmeäkantinen kirja

86,90 €

AN APPROACH TO INTEGRATED PADDY-FISH FARMING

Prakriti Dwivedi; Padmakar Tripathi; B P Mishra
Scholars' Press (2014)
Pehmeäkantinen kirja

110,40 €

RHEUMATIC FEVER AND RHEUMATIC HEART DISEASE

M. Satpathy; B.P. Mishra
Jaypee Brothers Medical Publishers (2013)
Pehmeäkantinen kirja

62,30 €

Techniques and Environments for Big Data Analysis : Parallel, Cloud, and Grid Computing

B. S.P. Mishra (ed.), Satchidananda Dehuri (ed.), Euiwhan Kim (ed.), Gi-Name Wang (ed.)

101,40 €

Springer
Sivumäärä: 191 sivua
Asu: Kovakantinen kirja
Julkaisuvuosi: 2016, 16.02.2016 (lisätietoa)
Kieli: Englanti
Tuotesarja: Studies in Big Data 17

This volume is aiming at a wide range of readers and
researchers in the area of Big Data by presenting the recent advances in the fields
of Big Data Analysis, as well as the techniques and tools used to analyze it. The book includes 10 distinct chapters
providing a concise introduction to Big Data Analysis and recent Techniques and Environments for
Big Data Analysis. It gives insight
into how the expensive fitness evaluation of evolutionary
learning can play a vital role in big data analysis by adopting Parallel, Grid, and Cloud computing environments.

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