Big Data In Complex Systems

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Big Data in Complex Systems

Author : Aboul Ella Hassanien
Publisher : Springer
ISBN 13 : 331911056X
Total Pages : 502 pages
Book Rating : 4.3/5 (191 download)

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Book Synopsis Big Data in Complex Systems by : Aboul Ella Hassanien

Download or read book Big Data in Complex Systems written by Aboul Ella Hassanien and published by Springer. This book was released on 2015-01-02 with total page 502 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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 structured pieces of text, while images and video are structured for storage and display, but not for semantic content and search. Therefore transforming such content into a structured format for later analysis is a major challenge. Data analysis, organization, retrieval, and modeling are other foundational challenges treated in this book. The material of this book will be useful for researchers and practitioners in the field of big data as well as advanced undergraduate and graduate students. Each of the 17 chapters in the book opens with a chapter abstract and key terms list. The chapters are organized along the lines of problem description, related works, and analysis of the results and comparisons are provided whenever feasible.

Data-Driven Modeling & Scientific Computation

Author : J. Nathan Kutz
Publisher : Oxford University Press
ISBN 13 : 0199660336
Total Pages : 657 pages
Book Rating : 4.1/5 (996 download)

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Book Synopsis Data-Driven Modeling & Scientific Computation by : J. Nathan Kutz

Download or read book Data-Driven Modeling & Scientific Computation written by J. Nathan Kutz and published by Oxford University Press. This book was released on 2013-08-08 with total page 657 pages. Available in PDF, EPUB and Kindle. Book excerpt: Combining scientific computing methods and algorithms with modern data analysis techniques, including basic applications of compressive sensing and machine learning, this book develops techniques that allow for the integration of the dynamics of complex systems and big data. MATLAB is used throughout for mathematical solution strategies.

Big Data in Complex and Social Networks

Author : My T. Thai
Publisher : CRC Press
ISBN 13 : 1315396696
Total Pages : 253 pages
Book Rating : 4.3/5 (153 download)

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Book Synopsis Big Data in Complex and Social Networks by : My T. Thai

Download or read book Big Data in Complex and Social Networks written by My T. Thai and published by CRC Press. This book was released on 2016-12-01 with total page 253 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents recent developments on the theoretical, algorithmic, and application aspects of Big Data in Complex and Social Networks. The book consists of four parts, covering a wide range of topics. The first part of the book focuses on data storage and data processing. It explores how the efficient storage of data can fundamentally support intensive data access and queries, which enables sophisticated analysis. It also looks at how data processing and visualization help to communicate information clearly and efficiently. The second part of the book is devoted to the extraction of essential information and the prediction of web content. The book shows how Big Data analysis can be used to understand the interests, location, and search history of users and provide more accurate predictions of User Behavior. The latter two parts of the book cover the protection of privacy and security, and emergent applications of big data and social networks. It analyzes how to model rumor diffusion, identify misinformation from massive data, and design intervention strategies. Applications of big data and social networks in multilayer networks and multiparty systems are also covered in-depth.

Big Data in Organizations and the Role of Human Resource Management

Author : Tobias M. Scholz
Publisher : Peter Lang Gmbh, Internationaler Verlag Der Wissenschaften
ISBN 13 : 9783631718902
Total Pages : 237 pages
Book Rating : 4.7/5 (189 download)

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Book Synopsis Big Data in Organizations and the Role of Human Resource Management by : Tobias M. Scholz

Download or read book Big Data in Organizations and the Role of Human Resource Management written by Tobias M. Scholz and published by Peter Lang Gmbh, Internationaler Verlag Der Wissenschaften. This book was released on 2017 with total page 237 pages. Available in PDF, EPUB and Kindle. Book excerpt: Big data are changing the way we work. This book conveys a theoretical understanding of big data and the related interactions on a socio-technological level as well as on the organizational level. Big data challenge the human resource department to take a new role. An organization's new competitive advantage is its employees augmented by big data.

Guide to Big Data Applications

Author : S. Srinivasan
Publisher : Springer
ISBN 13 : 3319538179
Total Pages : 565 pages
Book Rating : 4.3/5 (195 download)

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Book Synopsis Guide to Big Data Applications by : S. Srinivasan

Download or read book Guide to Big Data Applications written by S. Srinivasan and published by Springer. This book was released on 2017-05-25 with total page 565 pages. Available in PDF, EPUB and Kindle. Book excerpt: This handbook brings together a variety of approaches to the uses of big data in multiple fields, primarily science, medicine, and business. This single resource features contributions from researchers around the world from a variety of fields, where they share their findings and experience. This book is intended to help spur further innovation in big data. The research is presented in a way that allows readers, regardless of their field of study, to learn from how applications have proven successful and how similar applications could be used in their own field. Contributions stem from researchers in fields such as physics, biology, energy, healthcare, and business. The contributors also discuss important topics such as fraud detection, privacy implications, legal perspectives, and ethical handling of big data.

Big Data and Smart Service Systems

Author : Xiwei Liu
Publisher : Academic Press
ISBN 13 : 0128120401
Total Pages : 232 pages
Book Rating : 4.1/5 (281 download)

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Book Synopsis Big Data and Smart Service Systems by : Xiwei Liu

Download or read book Big Data and Smart Service Systems written by Xiwei Liu and published by Academic Press. This book was released on 2016-11-23 with total page 232 pages. Available in PDF, EPUB and Kindle. Book excerpt: Big Data and Smart Service Systems presents the theories and applications regarding Big Data and smart service systems, data acquisition, smart cities, business decision-making support, and smart service design. The rapid development of computer and Internet technologies has led the world to the era of Big Data. Big Data technologies are widely used, which has brought unprecedented impacts on traditional industries and lifestyle. More and more governments, business sectors, and institutions begin to realize data is becoming the most valuable asset and its analysis is becoming the core competitiveness. Describes the frontier of service science and motivates a discussion among readers on a multidisciplinary subject areas that explores the design of smart service Illustrates the concepts, framework, and application of big data and smart service systems Demonstrates the crucial role of smart service to promote the transformation of the regional and global economy

Computational Social Science and Complex Systems

Author : J. Kertész
Publisher : IOS Press
ISBN 13 : 1643680374
Total Pages : 212 pages
Book Rating : 4.6/5 (436 download)

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Book Synopsis Computational Social Science and Complex Systems by : J. Kertész

Download or read book Computational Social Science and Complex Systems written by J. Kertész and published by IOS Press. This book was released on 2019-11-20 with total page 212 pages. Available in PDF, EPUB and Kindle. Book excerpt: For many years, the development of large-scale quantitative social science was hindered by a lack of data. Traditional methods of data collection like surveys were very useful, but were limited. The situation has of course changed with the development of computing and information communication technology, and we now live in a world of data deluge, where the question has become how to extract important information from the plethora of data that can be accessed. Big Data has made it possible to study societal questions which were once impossible to deal with, but new tools and new multidisciplinary approaches are required. Physicists, together with economists, sociologists, computer scientists, etc. have played an important role in their development. This book presents the 9 lectures delivered at the CCIII Summer Course Computational Social Science and Complex Systems, held as part of the International School of Physics Enrico Fermi in Varenna, Italy, from 16-21 July 2018. The course had the aim of presenting some of the recent developments in the interdisciplinary fields of computational social science and econophysics to PhD students and young researchers, with lectures focused on recent problems investigated in computational social science. Addressing some of the basic questions and many of the subtleties of the emerging field of computational social science, the book will be of interest to students, researchers and advanced research professionals alike.

Principles of Big Data

Author : Jules J. Berman
Publisher : Newnes
ISBN 13 : 0124047246
Total Pages : 288 pages
Book Rating : 4.1/5 (24 download)

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Book Synopsis Principles of Big Data by : Jules J. Berman

Download or read book Principles of Big Data written by Jules J. Berman and published by Newnes. This book was released on 2013-05-20 with total page 288 pages. Available in PDF, EPUB and Kindle. Book excerpt: Principles of Big Data helps readers avoid the common mistakes that endanger all Big Data projects. By stressing simple, fundamental concepts, this book teaches readers how to organize large volumes of complex data, and how to achieve data permanence when the content of the data is constantly changing. General methods for data verification and validation, as specifically applied to Big Data resources, are stressed throughout the book. The book demonstrates how adept analysts can find relationships among data objects held in disparate Big Data resources, when the data objects are endowed with semantic support (i.e., organized in classes of uniquely identified data objects). Readers will learn how their data can be integrated with data from other resources, and how the data extracted from Big Data resources can be used for purposes beyond those imagined by the data creators. Learn general methods for specifying Big Data in a way that is understandable to humans and to computers Avoid the pitfalls in Big Data design and analysis Understand how to create and use Big Data safely and responsibly with a set of laws, regulations and ethical standards that apply to the acquisition, distribution and integration of Big Data resources

Intelligent and Complex Systems in Economics and Business

Author : Ernesto León-Castro
Publisher : Springer Nature
ISBN 13 : 3030591913
Total Pages : 120 pages
Book Rating : 4.0/5 (35 download)

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Book Synopsis Intelligent and Complex Systems in Economics and Business by : Ernesto León-Castro

Download or read book Intelligent and Complex Systems in Economics and Business written by Ernesto León-Castro and published by Springer Nature. This book was released on 2020-12-07 with total page 120 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book is a compilation of works of different areas that seek to apply the intelligent and complex systems in various applied problems. The problems that are worked in the book are the evaluation of the competence of the states, fuzzy classification, relationship between incentives and innovation, design of new products, analysis of profiles in social networks, innovation capabilities, software development, business growth, leadership and use of big data.

High-Performance Modelling and Simulation for Big Data Applications

Author : Joanna Kołodziej
Publisher : Springer
ISBN 13 : 3030162729
Total Pages : 364 pages
Book Rating : 4.0/5 (31 download)

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Book Synopsis High-Performance Modelling and Simulation for Big Data Applications by : Joanna Kołodziej

Download or read book High-Performance Modelling and Simulation for Big Data Applications written by Joanna Kołodziej and published by Springer. This book was released on 2019-03-25 with total page 364 pages. Available in PDF, EPUB and Kindle. Book excerpt: This open access book was prepared as a Final Publication of the COST Action IC1406 “High-Performance Modelling and Simulation for Big Data Applications (cHiPSet)“ project. Long considered important pillars of the scientific method, Modelling and Simulation have evolved from traditional discrete numerical methods to complex data-intensive continuous analytical optimisations. Resolution, scale, and accuracy have become essential to predict and analyse natural and complex systems in science and engineering. When their level of abstraction raises to have a better discernment of the domain at hand, their representation gets increasingly demanding for computational and data resources. On the other hand, High Performance Computing typically entails the effective use of parallel and distributed processing units coupled with efficient storage, communication and visualisation systems to underpin complex data-intensive applications in distinct scientific and technical domains. It is then arguably required to have a seamless interaction of High Performance Computing with Modelling and Simulation in order to store, compute, analyse, and visualise large data sets in science and engineering. Funded by the European Commission, cHiPSet has provided a dynamic trans-European forum for their members and distinguished guests to openly discuss novel perspectives and topics of interests for these two communities. This cHiPSet compendium presents a set of selected case studies related to healthcare, biological data, computational advertising, multimedia, finance, bioinformatics, and telecommunications.

Big Data Quantification for Complex Decision-Making

Author : Zhang, Chao
Publisher : IGI Global
ISBN 13 :
Total Pages : 328 pages
Book Rating : 4.3/5 (693 download)

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Book Synopsis Big Data Quantification for Complex Decision-Making by : Zhang, Chao

Download or read book Big Data Quantification for Complex Decision-Making written by Zhang, Chao and published by IGI Global. This book was released on 2024-04-16 with total page 328 pages. Available in PDF, EPUB and Kindle. Book excerpt: Many professionals are facing a monumental challenge: navigating the intricate landscape of information to make impactful choices. The sheer volume and complexity of big data have ushered in a shift, demanding innovative methodologies and frameworks. Big Data Quantification for Complex Decision-Making tackles this challenge head-on, offering a comprehensive exploration of the tools necessary to distill valuable insights from datasets. This book serves as a tool for professionals, researchers, and students, empowering them to not only comprehend the significance of big data in decision-making but also to translate this understanding into real-world decision making. The central objective of the book is to examine the relationship between big data and decision-making. It strives to address multiple objectives, including understanding the intricacies of big data in decision-making, navigating methodological nuances, managing uncertainty adeptly, and bridging theoretical foundations with real-world applications. The book's core aspiration is to provide readers with a comprehensive toolbox, seamlessly integrating theoretical frameworks, practical applications, and forward-thinking perspectives. This equips readers with the means to effectively navigate the data-rich landscape of modern decision-making, fostering a heightened comprehension of strategic big data utilization. Tailored for a diverse audience, this book caters to researchers and academics in data science, decision science, machine learning, artificial intelligence, and related domains.

Complex Systems and Clouds

Author : Dan C. Marinescu
Publisher : Morgan Kaufmann
ISBN 13 : 0128040947
Total Pages : 238 pages
Book Rating : 4.1/5 (28 download)

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Book Synopsis Complex Systems and Clouds by : Dan C. Marinescu

Download or read book Complex Systems and Clouds written by Dan C. Marinescu and published by Morgan Kaufmann. This book was released on 2016-10-15 with total page 238 pages. Available in PDF, EPUB and Kindle. Book excerpt: Complex Systems and Clouds: A Self-Organization and Self-Management Perspective provides insights into the intricate world of self-organizing systems. Large scale distributed computer systems have evolved into very complex systems and are at the point where they need to borrow self-adapting organizing concepts from nature. The book explores complexity in big distributed systems and in the natural processes in physics and chemistry, building a platform for understanding how self-organization in big distributed systems can be achieved. It goes beyond the theoretical description of self-organization to present principles for designing self-organizing systems, and concludes by showing the need for a paradigm shift in the development of large-scale systems from strictly deterministic to non-deterministic and adaptive. Analyzes the effect of self-organization applied to computer clouds Furthers research on principles of self-organization of computing and communication systems inspired by a wealth of self-organizing processes and phenomena in nature and society Presents a unique analysis of the field, with solutions and case studies

Knowledge Graphs and Big Data Processing

Author : Valentina Janev
Publisher : Springer Nature
ISBN 13 : 3030531996
Total Pages : 212 pages
Book Rating : 4.0/5 (35 download)

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Book Synopsis Knowledge Graphs and Big Data Processing by : Valentina Janev

Download or read book Knowledge Graphs and Big Data Processing written by Valentina Janev and published by Springer Nature. This book was released on 2020-07-15 with total page 212 pages. Available in PDF, EPUB and Kindle. Book excerpt: This open access book is part of the LAMBDA Project (Learning, Applying, Multiplying Big Data Analytics), funded by the European Union, GA No. 809965. Data Analytics involves applying algorithmic processes to derive insights. Nowadays it is used in many industries to allow organizations and companies to make better decisions as well as to verify or disprove existing theories or models. The term data analytics is often used interchangeably with intelligence, statistics, reasoning, data mining, knowledge discovery, and others. The goal of this book is to introduce some of the definitions, methods, tools, frameworks, and solutions for big data processing, starting from the process of information extraction and knowledge representation, via knowledge processing and analytics to visualization, sense-making, and practical applications. Each chapter in this book addresses some pertinent aspect of the data processing chain, with a specific focus on understanding Enterprise Knowledge Graphs, Semantic Big Data Architectures, and Smart Data Analytics solutions. This book is addressed to graduate students from technical disciplines, to professional audiences following continuous education short courses, and to researchers from diverse areas following self-study courses. Basic skills in computer science, mathematics, and statistics are required.

Big Data: Conceptual Analysis and Applications

Author : Michael Z. Zgurovsky
Publisher : Springer
ISBN 13 : 3030142981
Total Pages : 277 pages
Book Rating : 4.0/5 (31 download)

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Book Synopsis Big Data: Conceptual Analysis and Applications by : Michael Z. Zgurovsky

Download or read book Big Data: Conceptual Analysis and Applications written by Michael Z. Zgurovsky and published by Springer. This book was released on 2019-03-20 with total page 277 pages. Available in PDF, EPUB and Kindle. Book excerpt: The book is devoted to the analysis of big data in order to extract from these data hidden patterns necessary for making decisions about the rational behavior of complex systems with the different nature that generate this data. To solve these problems, a group of new methods and tools is used, based on the self-organization of computational processes, the use of crisp and fuzzy cluster analysis methods, hybrid neural-fuzzy networks, and others. The book solves various practical problems. In particular, for the tasks of 3D image recognition and automatic speech recognition large-scale neural networks with applications for Deep Learning systems were used. Application of hybrid neuro-fuzzy networks for analyzing stock markets was presented. The analysis of big historical, economic and physical data revealed the hidden Fibonacci pattern about the course of systemic world conflicts and their connection with the Kondratieff big economic cycles and the Schwabe–Wolf solar activity cycles. The book is useful for system analysts and practitioners working with complex systems in various spheres of human activity.

Engineering Agile Big-Data Systems

Author : Feeney, Kevin
Publisher : River Publishers
ISBN 13 : 8770220166
Total Pages : 436 pages
Book Rating : 4.7/5 (72 download)

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Book Synopsis Engineering Agile Big-Data Systems by : Feeney, Kevin

Download or read book Engineering Agile Big-Data Systems written by Feeney, Kevin and published by River Publishers. This book was released on 2018-11-05 with total page 436 pages. Available in PDF, EPUB and Kindle. Book excerpt: To be effective, data-intensive systems require extensive ongoing customisation to reflect changing user requirements, organisational policies, and the structure and interpretation of the data they hold. Manual customisation is expensive, time-consuming, and error-prone. In large complex systems, the value of the data can be such that exhaustive testing is necessary before any new feature can be added to the existing design. In most cases, the precise details of requirements, policies and data will change during the lifetime of the system, forcing a choice between expensive modification and continued operation with an inefficient design. Engineering Agile Big-Data Systems outlines an approach to dealing with these problems in software and data engineering, describing a methodology for aligning these processes throughout product lifecycles. It discusses tools which can be used to achieve these goals, and, in a number of case studies, shows how the tools and methodology have been used to improve a variety of academic and business systems.

Big Data Computing

Author : Rajendra Akerkar
Publisher : CRC Press
ISBN 13 : 1466578378
Total Pages : 566 pages
Book Rating : 4.4/5 (665 download)

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Book Synopsis Big Data Computing by : Rajendra Akerkar

Download or read book Big Data Computing written by Rajendra Akerkar and published by CRC Press. This book was released on 2013-12-05 with total page 566 pages. Available in PDF, EPUB and Kindle. Book excerpt: Due to market forces and technological evolution, Big Data computing is developing at an increasing rate. A wide variety of novel approaches and tools have emerged to tackle the challenges of Big Data, creating both more opportunities and more challenges for students and professionals in the field of data computation and analysis. Presenting a mix of industry cases and theory, Big Data Computing discusses the technical and practical issues related to Big Data in intelligent information management. Emphasizing the adoption and diffusion of Big Data tools and technologies in industry, the book introduces a broad range of Big Data concepts, tools, and techniques. It covers a wide range of research, and provides comparisons between state-of-the-art approaches. Comprised of five sections, the book focuses on: What Big Data is and why it is important Semantic technologies Tools and methods Business and economic perspectives Big Data applications across industries

Multi-Chaos, Fractal and Multi-Fractional Artificial Intelligence of Different Complex Systems

Author : Yeliz Karaca
Publisher : Academic Press
ISBN 13 : 0323886167
Total Pages : 352 pages
Book Rating : 4.3/5 (238 download)

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Book Synopsis Multi-Chaos, Fractal and Multi-Fractional Artificial Intelligence of Different Complex Systems by : Yeliz Karaca

Download or read book Multi-Chaos, Fractal and Multi-Fractional Artificial Intelligence of Different Complex Systems written by Yeliz Karaca and published by Academic Press. This book was released on 2022-06-22 with total page 352 pages. Available in PDF, EPUB and Kindle. Book excerpt: Multi-Chaos, Fractal and Multi-Fractional Artificial Intelligence of Different Complex Systems addresses different uncertain processes inherent in the complex systems, attempting to provide global and robust optimized solutions distinctively through multifarious methods, technical analyses, modeling, optimization processes, numerical simulations, case studies as well as applications including theoretical aspects of complexity. Foregrounding Multi-chaos, Fractal and Multi-fractional in the era of Artificial Intelligence (AI), the edited book deals with multi- chaos, fractal, multifractional, fractional calculus, fractional operators, quantum, wavelet, entropy-based applications, artificial intelligence, mathematics-informed and data driven processes aside from the means of modelling, and simulations for the solution of multifaceted problems characterized by nonlinearity, non-regularity and self-similarity, frequently encountered in different complex systems. The fundamental interacting components underlying complexity, complexity thinking, processes and theory along with computational processes and technologies, with machine learning as the core component of AI demonstrate the enabling of complex data to augment some critical human skills. Appealing to an interdisciplinary network of scientists and researchers to disseminate the theory and application in medicine, neurology, mathematics, physics, biology, chemistry, information theory, engineering, computer science, social sciences and other far-reaching domains, the overarching aim is to empower out-of-the-box thinking through multifarious methods, directed towards paradoxical situations, uncertain processes, chaotic, transient and nonlinear dynamics of complex systems. Constructs and presents a multifarious approach for critical decision-making processes embodying paradoxes and uncertainty. Includes a combination of theory and applications with regard to multi-chaos, fractal and multi-fractional as well as AI of different complex systems and many-body systems. Provides readers with a bridge between application of advanced computational mathematical methods and AI based on comprehensive analyses and broad theories.