Optimizing The Big Data Problem Statement

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Optimizing the Big Data Problem Statement

Author : Roy Jafari
Publisher : Roy Jafari
ISBN 13 :
Total Pages : 127 pages
Book Rating : 4./5 ( download)

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Book Synopsis Optimizing the Big Data Problem Statement by : Roy Jafari

Download or read book Optimizing the Big Data Problem Statement written by Roy Jafari and published by Roy Jafari. This book was released on 2023-05-02 with total page 127 pages. Available in PDF, EPUB and Kindle. Book excerpt: In today's tech world, Big Data is the name of the game and a unique and powerful opportunity that can unlock a lot of potential. However, before you can start using big data, you need to have a clear understanding of the problem you are trying to solve. This is where problem statement optimization comes in. Problem statement optimization is the process of finding the right balance between the cost of understanding the problem and the cost of making future mistakes. The cost of understanding the big data problem includes the time and resources it takes to understand how exactly the size of the data is challenging you, and that empowers you to be able to find the right solution for your big data problem. The cost of making future mistakes includes the cost of fixing mistakes in the model, the cost of lost opportunities, and the cost of damage to your reputation. The book comprises five chapters covering various aspects of Big Data preparation, including Understanding Big Data Problems Cross-Industry Standard Process for Data Mining (CRISP-DM) Data Solution Life Cycle (DSLC) Types of Data Manipulations Recognizing the Right Data-Prep Problem. This book is a valuable resource for anyone who wants to use big data to solve problems. Whether you are a data scientist, analyst, or business professional, this book will help you get the most out of big data. Here are some additional benefits of reading this book: You will learn how to use big data to solve real-world problems. You will develop the skills you need to be successful in the world of big data. You will gain a deeper understanding If you are serious about using big data, then this book is a must-read.

Big Data Optimization: Recent Developments and Challenges

Author : Ali Emrouznejad
Publisher : Springer
ISBN 13 : 3319302655
Total Pages : 492 pages
Book Rating : 4.3/5 (193 download)

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Book Synopsis Big Data Optimization: Recent Developments and Challenges by : Ali Emrouznejad

Download or read book Big Data Optimization: Recent Developments and Challenges written by Ali Emrouznejad and published by Springer. This book was released on 2016-05-26 with total page 492 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Machine Learning, Optimization, and Big Data

Author : Giuseppe Nicosia
Publisher : Springer
ISBN 13 : 3319729268
Total Pages : 621 pages
Book Rating : 4.3/5 (197 download)

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Book Synopsis Machine Learning, Optimization, and Big Data by : Giuseppe Nicosia

Download or read book Machine Learning, Optimization, and Big Data written by Giuseppe Nicosia and published by Springer. This book was released on 2017-12-19 with total page 621 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the post-conference proceedings of the Third International Workshop on Machine Learning, Optimization, and Big Data, MOD 2017, held in Volterra, Italy, in September 2017. The 50 full papers presented were carefully reviewed and selected from 126 submissions. The papers cover topics in the field of machine learning, artificial intelligence, computational optimization and data science presenting a substantial array of ideas, technologies, algorithms, methods and applications.

Machine Learning, Optimization, and Big Data

Author : Panos M. Pardalos
Publisher : Springer
ISBN 13 : 3319514695
Total Pages : 475 pages
Book Rating : 4.3/5 (195 download)

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Book Synopsis Machine Learning, Optimization, and Big Data by : Panos M. Pardalos

Download or read book Machine Learning, Optimization, and Big Data written by Panos M. Pardalos and published by Springer. This book was released on 2016-12-24 with total page 475 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes revised selected papers from the Second International Workshop on Machine Learning, Optimization, and Big Data, MOD 2016, held in Volterra, Italy, in August 2016. The 40 papers presented in this volume were carefully reviewed and selected from 97 submissions. These proceedings contain papers in the fields of Machine Learning, Computational Optimization and DataScience presenting a substantial array of ideas, technologies, algorithms, methods and applications.

Optimization and Control for Systems in the Big-Data Era

Author : Tsan-Ming Choi
Publisher : Springer
ISBN 13 : 3319535188
Total Pages : 281 pages
Book Rating : 4.3/5 (195 download)

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Book Synopsis Optimization and Control for Systems in the Big-Data Era by : Tsan-Ming Choi

Download or read book Optimization and Control for Systems in the Big-Data Era written by Tsan-Ming Choi and published by Springer. This book was released on 2017-05-04 with total page 281 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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 of large-scale systems. This “big data” provides new opportunities to improve decision making and addresses risk for individuals as well in organizations. While utilizing data smartly can enhance decision making, how to use and incorporate data into the decision making framework remains a challenging topic. Ultimately the chapters in this book present new models and frameworks to help overcome this obstacle. Optimization and Control for Systems in the Big-Data Era: Theory and Applications is divided into five parts. Part I offers reviews on optimization and control theories, and Part II examines the optimization and control applications. Part III provides novel insights and new findings in the area of financial optimization analysis. The chapters in Part IV deal with operations analysis, covering flow-shop operations and quick response systems. The book concludes with final remarks and a look to the future of big data related optimization and control problems.

Optimizing Supply Chain in Industry 4.O – Utilizing AI and Big Data Analytics

Author : Jubin Thomas
Publisher : RK Publication
ISBN 13 : 8197364508
Total Pages : 308 pages
Book Rating : 4.1/5 (973 download)

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Book Synopsis Optimizing Supply Chain in Industry 4.O – Utilizing AI and Big Data Analytics by : Jubin Thomas

Download or read book Optimizing Supply Chain in Industry 4.O – Utilizing AI and Big Data Analytics written by Jubin Thomas and published by RK Publication. This book was released on 2024-05-15 with total page 308 pages. Available in PDF, EPUB and Kindle. Book excerpt: Optimizing Supply Chain in Industry 4.0: Utilizing AI and Big Data Analytics the transformative impact of advanced technologies on supply chain management. How AI and big data analytics revolutionize operations, enabling predictive decision-making, enhanced efficiency, and real-time adaptability. Covering key concepts, applications, and strategies, it actionable insights for leveraging these technologies to build resilient, sustainable, and agile supply chains in the era of Industry 4.0. Designed for professionals, researchers, and students, it bridges theory with practical implementation for optimizing supply chain processes in a rapidly evolving digital landscape.

Machine Learning, Optimization, and Big Data

Author : Panos Pardalos
Publisher : Springer
ISBN 13 : 3319279262
Total Pages : 386 pages
Book Rating : 4.3/5 (192 download)

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Book Synopsis Machine Learning, Optimization, and Big Data by : Panos Pardalos

Download or read book Machine Learning, Optimization, and Big Data written by Panos Pardalos and published by Springer. This book was released on 2016-01-05 with total page 386 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes revised selected papers from the First International Workshop on Machine Learning, Optimization, and Big Data, MOD 2015, held in Taormina, Sicily, Italy, in July 2015. The 32 papers presented in this volume were carefully reviewed and selected from 73 submissions. They deal with the algorithms, methods and theories relevant in data science, optimization and machine learning.

Big Data Benchmarks, Performance Optimization, and Emerging Hardware

Author : Jianfeng Zhan
Publisher : Springer
ISBN 13 : 3319130218
Total Pages : 227 pages
Book Rating : 4.3/5 (191 download)

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Book Synopsis Big Data Benchmarks, Performance Optimization, and Emerging Hardware by : Jianfeng Zhan

Download or read book Big Data Benchmarks, Performance Optimization, and Emerging Hardware written by Jianfeng Zhan and published by Springer. This book was released on 2014-11-10 with total page 227 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the thoroughly revised selected papers of the 4th and 5th workshops on Big Data Benchmarks, Performance Optimization, and Emerging Hardware, BPOE 4 and BPOE 5, held respectively in Salt Lake City, in March 2014, and in Hangzhou, in September 2014. The 16 papers presented were carefully reviewed and selected from 30 submissions. Both workshops focus on architecture and system support for big data systems, such as benchmarking; workload characterization; performance optimization and evaluation; emerging hardware.

Understanding Data Analytics and Predictive Modelling in the Oil and Gas Industry

Author : Kingshuk Srivastava
Publisher : CRC Press
ISBN 13 : 1000995119
Total Pages : 187 pages
Book Rating : 4.0/5 (9 download)

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Book Synopsis Understanding Data Analytics and Predictive Modelling in the Oil and Gas Industry by : Kingshuk Srivastava

Download or read book Understanding Data Analytics and Predictive Modelling in the Oil and Gas Industry written by Kingshuk Srivastava and published by CRC Press. This book was released on 2023-11-20 with total page 187 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book covers aspects of data science and predictive analytics used in the oil and gas industry by looking into the challenges of data processing and data modelling unique to this industry. It includes upstream management, intelligent/digital wells, value chain integration, crude basket forecasting, and so forth. It further discusses theoretical, methodological, well-established, and validated empirical work dealing with various related topics. Special focus has been given to experimental topics with various case studies. Features: Provides an understanding of the basics of IT technologies applied in the oil and gas sector Includes deep comparison between different artificial intelligence techniques Analyzes different simulators in the oil and gas sector as well as discussion of AI applications Focuses on in-depth experimental and applied topics Details different case studies for upstream and downstream This book is aimed at professionals and graduate students in petroleum engineering, upstream industry, data analytics, and digital transformation process in oil and gas.

Optimization and Applications

Author : Nicholas Olenev
Publisher : Springer Nature
ISBN 13 : 3031478592
Total Pages : 401 pages
Book Rating : 4.0/5 (314 download)

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Book Synopsis Optimization and Applications by : Nicholas Olenev

Download or read book Optimization and Applications written by Nicholas Olenev and published by Springer Nature. This book was released on 2023-12-11 with total page 401 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed proceedings of the 14th International Conference on Optimization and Applications, OPTIMA 2023, held in Petrovac, Montenegro, during September 18–22, 2023. The 27 full papers included in this book were carefully reviewed and selected from 68 submissions. They were organized in topical sections as follows: mathematical programming; global optimization; discrete and combinatorial optimization; game theory and mathematical economics; optimization in economics and finance; and applications.

Optimization in Large Scale Problems

Author : Mahdi Fathi
Publisher : Springer Nature
ISBN 13 : 3030285650
Total Pages : 333 pages
Book Rating : 4.0/5 (32 download)

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Book Synopsis Optimization in Large Scale Problems by : Mahdi Fathi

Download or read book Optimization in Large Scale Problems written by Mahdi Fathi and published by Springer Nature. This book was released on 2019-11-20 with total page 333 pages. Available in PDF, EPUB and Kindle. Book excerpt: This volume provides resourceful thinking and insightful management solutions to the many challenges that decision makers face in their predictions, preparations, and implementations of the key elements that our societies and industries need to take as they move toward digitalization and smartness. The discussions within the book aim to uncover the sources of large-scale problems in socio-industrial dilemmas, and the theories that can support these challenges. How theories might also transition to real applications is another question that this book aims to uncover. In answer to the viewpoints expressed by several practitioners and academicians, this book aims to provide both a learning platform which spotlights open questions with related case studies. The relationship between Industry 4.0 and Society 5.0 provides the basis for the expert contributions in this book, highlighting the uses of analytical methods such as mathematical optimization, heuristic methods, decomposition methods, stochastic optimization, and more. The book will prove useful to researchers, students, and engineers in different domains who encounter large scale optimization problems and will encourage them to undertake research in this timely and practical field. The book splits into two parts. The first part covers a general perspective and challenges in a smart society and in industry. The second part covers several case studies and solutions from the operations research perspective for large scale challenges specific to various industry and society related phenomena.

Constraint Programming and Large Scale Discrete Optimization

Author : Eugene C. Freuder
Publisher : American Mathematical Soc.
ISBN 13 : 9780821870983
Total Pages : 190 pages
Book Rating : 4.8/5 (79 download)

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Book Synopsis Constraint Programming and Large Scale Discrete Optimization by : Eugene C. Freuder

Download or read book Constraint Programming and Large Scale Discrete Optimization written by Eugene C. Freuder and published by American Mathematical Soc.. This book was released on 2001-01-01 with total page 190 pages. Available in PDF, EPUB and Kindle. Book excerpt: Constraint programming has become an important general approach for solving hard combinatorial problems that occur in a number of application domains, such as scheduling and configuration. This volume contains selected papers from the workshop on Constraint Programming and Large Scale Discrete Optimization held at DIMACS. It gives a sense of state-of-the-art research in this field, touching on many of the important issues that are emerging and giving an idea of the major current trends. Topics include new strategies for local search, multithreaded constraint programming, specialized constraints that enhance consistency processing, fuzzy representations, hybrid approaches involving both constraint programming and integer programming, and applications to scheduling problems in domains such as sports scheduling and satellite scheduling.

Engineering Design Optimization

Author : Joaquim R. R. A. Martins
Publisher : Cambridge University Press
ISBN 13 : 1108833411
Total Pages : 652 pages
Book Rating : 4.1/5 (88 download)

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Book Synopsis Engineering Design Optimization by : Joaquim R. R. A. Martins

Download or read book Engineering Design Optimization written by Joaquim R. R. A. Martins and published by Cambridge University Press. This book was released on 2021-11-18 with total page 652 pages. Available in PDF, EPUB and Kindle. Book excerpt: A rigorous yet accessible graduate textbook covering both fundamental and advanced optimization theory and algorithms.

Computational Optimization and Applications in Engineering and Industry

Author : Xin-She Yang
Publisher : Springer Science & Business Media
ISBN 13 : 3642209858
Total Pages : 282 pages
Book Rating : 4.6/5 (422 download)

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Book Synopsis Computational Optimization and Applications in Engineering and Industry by : Xin-She Yang

Download or read book Computational Optimization and Applications in Engineering and Industry written by Xin-She Yang and published by Springer Science & Business Media. This book was released on 2011-06-19 with total page 282 pages. Available in PDF, EPUB and Kindle. Book excerpt: Contemporary design in engineering and industry relies heavily on computer simulation and efficient algorithms to reduce the cost and to maximize the performance and sustainability as well as profits and energy efficiency. Solving an optimization problem correctly and efficiently requires not only the right choice of optimization algorithms and simulation methods, but also the proper implementation and insight into the problem of interest. This book consists of ten self-contained, detailed case studies of real-world optimization problems, selected from a wide range of applications and contributed from worldwide experts who are working in these exciting areas. Optimization topics and applications include gas and water supply networks, oil field production optimization, microwave engineering, aerodynamic shape design, environmental emergence modelling, structural engineering, waveform design for radar and communication systems, parameter estimation in laser experiment and measurement, engineering materials and network scheduling. These case studies have been solved using a wide range of optimization techniques, including particle swarm optimization, genetic algorithms, artificial bee colony, harmony search, adaptive error control, derivative-free pattern search, surrogate-based optimization, variable-fidelity modelling, as well as various other methods and approaches. This book is a practical guide to help graduates and researchers to carry out optimization for real-world applications. More advanced readers will also find it a helpful reference and aide memoire.

Web and Big Data

Author : Wenjie Zhang
Publisher : Springer Nature
ISBN 13 : 9819772354
Total Pages : 516 pages
Book Rating : 4.8/5 (197 download)

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Book Synopsis Web and Big Data by : Wenjie Zhang

Download or read book Web and Big Data written by Wenjie Zhang and published by Springer Nature. This book was released on with total page 516 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Proceeding of the 24th International Conference on Industrial Engineering and Engineering Management 2018

Author : George Q. Huang
Publisher : Springer
ISBN 13 : 9811334021
Total Pages : 728 pages
Book Rating : 4.8/5 (113 download)

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Book Synopsis Proceeding of the 24th International Conference on Industrial Engineering and Engineering Management 2018 by : George Q. Huang

Download or read book Proceeding of the 24th International Conference on Industrial Engineering and Engineering Management 2018 written by George Q. Huang and published by Springer. This book was released on 2019-01-12 with total page 728 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book records the new research findings and development in the field of industrial engineering, and it will serve as the guidebook for the potential development in industrial engineering and smart manufacturing. It gathers the accepted papers from the 24th International conference on Industrial Engineering and Engineering Management held at Central South University of Forestry and Technology in Changsha during May 19-20, 2018. The aim of this conference was to provide a high-level international forum for experts, scholars and entrepreneurs at home and abroad to present the recent advances, new techniques and application, to promote discussion and interaction among academics, researchers and professionals to promote the developments and applications of the related theories and technologies in universities and enterprises, and to establish business or research relations to find global partners for future collaboration in the field of Industrial Engineering. It addresses diverse themes in smart manufacturing, artificial intelligence, ergonomics, simulation and modeling, quality and reliability, logistics engineering, data mining and other related fields. This timely book summarizes and promotes the latest achievements in the field of industrial engineering and related fields over the past year, proposing prospects and vision for the further development.

Machine Intelligence, Big Data Analytics, and IoT in Image Processing

Author : Ashok Kumar
Publisher : John Wiley & Sons
ISBN 13 : 1119865492
Total Pages : 516 pages
Book Rating : 4.1/5 (198 download)

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Book Synopsis Machine Intelligence, Big Data Analytics, and IoT in Image Processing by : Ashok Kumar

Download or read book Machine Intelligence, Big Data Analytics, and IoT in Image Processing written by Ashok Kumar and published by John Wiley & Sons. This book was released on 2023-02-14 with total page 516 pages. Available in PDF, EPUB and Kindle. Book excerpt: MACHINE INTELLIGENCE, BIG DATA ANALYTICS, AND IoT IN IMAGE PROCESSING Discusses both theoretical and practical aspects of how to harness advanced technologies to develop practical applications such as drone-based surveillance, smart transportation, healthcare, farming solutions, and robotics used in automation. The concepts of machine intelligence, big data analytics, and the Internet of Things (IoT) continue to improve our lives through various cutting-edge applications such as disease detection in real-time, crop yield prediction, smart parking, and so forth. The transformative effects of these technologies are life-changing because they play an important role in demystifying smart healthcare, plant pathology, and smart city/village planning, design and development. This book presents a cross-disciplinary perspective on the practical applications of machine intelligence, big data analytics, and IoT by compiling cutting-edge research and insights from researchers, academicians, and practitioners worldwide. It identifies and discusses various advanced technologies, such as artificial intelligence, machine learning, IoT, image processing, network security, cloud computing, and sensors, to provide effective solutions to the lifestyle challenges faced by humankind. Machine Intelligence, Big Data Analytics, and IoT in Image Processing is a significant addition to the body of knowledge on practical applications emerging from machine intelligence, big data analytics, and IoT. The chapters deal with specific areas of applications of these technologies. This deliberate choice of covering a diversity of fields was to emphasize the applications of these technologies in almost every contemporary aspect of real life to assist working in different sectors by understanding and exploiting the strategic opportunities offered by these technologies. Audience The book will be of interest to a range of researchers and scientists in artificial intelligence who work on practical applications using machine learning, big data analytics, natural language processing, pattern recognition, and IoT by analyzing images. Software developers, industry specialists, and policymakers in medicine, agriculture, smart cities development, transportation, etc. will find this book exceedingly useful.