Big Data Optimization Recent Developments and Challenges

This book PDF is perfect for those who love Technology & Engineering genre, written by Ali Emrouznejad and published by Springer which was released on 26 May 2016 with total hardcover pages 487. You could read this book directly on your devices with pdf, epub and kindle format, check detail and related Big Data Optimization Recent Developments and Challenges books below.

Big Data Optimization Recent Developments and Challenges
Big Data Optimization Recent Developments and Challenges
Author : Ali Emrouznejad
File Size : 44,6 Mb
Publisher : Springer
Language : English
Release Date : 26 May 2016
ISBN : 9783319302652
Pages : 487 pages
Get Book

Big Data Optimization Recent Developments and Challenges by Ali Emrouznejad Book PDF Summary

The main objective of this book is to provide the necessary background to work with big data by introducing some novel optimization algorithms and codes capable of working in the big data setting as well as introducing some applications in big data optimization for both academics and practitioners interested, and to benefit society, industry, academia, and government. Presenting applications in a variety of industries, this book will be useful for the researchers aiming to analyses large scale data. Several optimization algorithms for big data including convergent parallel algorithms, limited memory bundle algorithm, diagonal bundle method, convergent parallel algorithms, network analytics, and many more have been explored in this book.

Big Data Optimization Recent Developments and Challenges

Big Data Optimization Recent Developments and Challenges by Ali Emrouznejad

The main objective of this book is to provide the necessary background to work with big data by introducing some novel optimization algorithms and codes capable of working in the big data setting as well as introducing some applications in big data optimization for both academics and practitioners interested, and

Get Book
Big Data in Complex Systems

Big Data in Complex Systems by Aboul Ella Hassanien,Ahmad Taher Azar,Vaclav Snasael,Janusz Kacprzyk,Jemal H. Abawajy

This volume provides challenges and Opportunities with updated, in-depth material on the application of Big data to complex systems in order to find solutions for the challenges and problems facing big data sets applications. Much data today is not natively in structured format; for example, tweets and blogs are weakly

Get Book
Big Data for the Greater Good

Big Data for the Greater Good by Ali Emrouznejad,Vincent Charles

This book highlights some of the most fascinating current uses, thought-provoking changes, and biggest challenges that Big Data means for our society. The explosive growth of data and advances in Big Data analytics have created a new frontier for innovation, competition, productivity, and well-being in almost every sector of our

Get Book
Big Data and Blockchain for Service Operations Management

Big Data and Blockchain for Service Operations Management by Ali Emrouznejad,Vincent Charles

This book aims to provide the necessary background to work with big data blockchain by introducing some novel applications in service operations for both academics and interested practitioners, and to benefit society, industry, academia, and government. Presenting applications in a variety of industries, this book intends to cover theory, research,

Get Book
Big Data Analytics in Future Power Systems

Big Data Analytics in Future Power Systems by Ahmed F. Zobaa,Trevor J. Bihl

Power systems are increasingly collecting large amounts of data due to the expansion of the Internet of Things into power grids. In a smart grids scenario, a huge number of intelligent devices will be connected with almost no human intervention characterizing a machine-to-machine scenario, which is one of the pillars

Get Book
Optimization and Control for Systems in the Big Data Era

Optimization and Control for Systems in the Big Data Era by Tsan-Ming Choi,Jianjun Gao,James H. Lambert,Chi-Kong Ng,Jun Wang

This book focuses on optimal control and systems engineering in the big data era. It examines the scientific innovations in optimization, control and resilience management that can be applied to further success. In both business operations and engineering applications, there are huge amounts of data that can overwhelm computing resources

Get Book
Big Data Analytics in Supply Chain Management

Big Data Analytics in Supply Chain Management by Iman Rahimi,Amir H. Gandomi,Simon James Fong,M. Ali Ülkü

In a world of soaring digitization, social media, financial transactions, and production and logistics processes constantly produce massive data. Employing analytical tools to extract insights and foresights from data improves the quality, speed, and reliability of solutions to highly intertwined issues faced in supply chain operations. From procurement in Industry 4.0

Get Book
New Trends of Mathematical Inverse Problems and Applications

New Trends of Mathematical Inverse Problems and Applications by Amine Laghrib,Lekbir Afraites,Mourad Nachaoui

This volume comprises the thoroughly reviewed and revised papers of the First International Conference on New Trends in Applied Mathematics, ICNTAM 2022, which took place in Béni Mellal, Morocco, 19-21 May 2022. The papers deal with the following topics: Inverse Problems, Partial Differential Equations, Mathematical Control, Numerical Analysis and Computer Science.

Get Book