Big Data In Complex Systems

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Big Data in Complex Systems

Author : Aboul Ella Hassanien,Ahmad Taher Azar,Vaclav Snasael,Janusz Kacprzyk,Jemal H. Abawajy
Publisher : Springer
Page : 502 pages
File Size : 51,6 Mb
Release : 2015-01-02
Category : Technology & Engineering
ISBN : 9783319110561

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

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
Page : 657 pages
File Size : 50,5 Mb
Release : 2013-08-08
Category : Computers
ISBN : 9780199660339

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Data-Driven Modeling & Scientific Computation by J. Nathan Kutz Pdf

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,Weili Wu,Hui Xiong
Publisher : CRC Press
Page : 253 pages
File Size : 40,5 Mb
Release : 2016-12-01
Category : Business & Economics
ISBN : 9781315396699

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Big Data in Complex and Social Networks by My T. Thai,Weili Wu,Hui Xiong Pdf

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
Page : 237 pages
File Size : 44,7 Mb
Release : 2017
Category : Business & Economics
ISBN : 363171890X

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

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.

Computational Social Science and Complex Systems

Author : J. Kertész,R.N. Mantegna,S. Miccichè
Publisher : IOS Press
Page : 212 pages
File Size : 43,7 Mb
Release : 2019-11-20
Category : Social Science
ISBN : 9781643680378

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Computational Social Science and Complex Systems by J. Kertész,R.N. Mantegna,S. Miccichè Pdf

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.

Guide to Big Data Applications

Author : S. Srinivasan
Publisher : Springer
Page : 565 pages
File Size : 49,8 Mb
Release : 2017-05-25
Category : Technology & Engineering
ISBN : 9783319538174

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Guide to Big Data Applications by S. Srinivasan Pdf

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,Rangachari Anand,Gang Xiong,Xiuqin Shang,Xiaoming Liu
Publisher : Academic Press
Page : 232 pages
File Size : 53,5 Mb
Release : 2016-11-23
Category : Technology & Engineering
ISBN : 9780128120408

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Big Data and Smart Service Systems by Xiwei Liu,Rangachari Anand,Gang Xiong,Xiuqin Shang,Xiaoming Liu Pdf

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

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

Author : Yeliz Karaca,Dumitru Baleanu,Yu-Dong Zhang,Osvaldo Gervasi,Majaz Moonis
Publisher : Academic Press
Page : 352 pages
File Size : 41,7 Mb
Release : 2022-06-22
Category : Science
ISBN : 9780323886161

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Multi-Chaos, Fractal and Multi-Fractional Artificial Intelligence of Different Complex Systems by Yeliz Karaca,Dumitru Baleanu,Yu-Dong Zhang,Osvaldo Gervasi,Majaz Moonis Pdf

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.

Big Data Quantification for Complex Decision-Making

Author : Zhang, Chao,Li, Wentao
Publisher : IGI Global
Page : 328 pages
File Size : 45,6 Mb
Release : 2024-04-16
Category : Business & Economics
ISBN : 9798369315835

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Big Data Quantification for Complex Decision-Making by Zhang, Chao,Li, Wentao Pdf

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.

Big Data: Conceptual Analysis and Applications

Author : Michael Z. Zgurovsky,Yuriy P. Zaychenko
Publisher : Springer
Page : 277 pages
File Size : 51,9 Mb
Release : 2019-03-20
Category : Technology & Engineering
ISBN : 9783030142988

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Big Data: Conceptual Analysis and Applications by Michael Z. Zgurovsky,Yuriy P. Zaychenko Pdf

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.

High-Performance Modelling and Simulation for Big Data Applications

Author : Joanna Kołodziej,Horacio González-Vélez
Publisher : Springer
Page : 364 pages
File Size : 49,9 Mb
Release : 2019-03-25
Category : Computers
ISBN : 9783030162726

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High-Performance Modelling and Simulation for Big Data Applications by Joanna Kołodziej,Horacio González-Vélez Pdf

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 for Remote Sensing: Visualization, Analysis and Interpretation

Author : Nilanjan Dey,Chintan Bhatt,Amira S. Ashour
Publisher : Springer
Page : 154 pages
File Size : 46,5 Mb
Release : 2018-05-23
Category : Science
ISBN : 9783319899237

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Big Data for Remote Sensing: Visualization, Analysis and Interpretation by Nilanjan Dey,Chintan Bhatt,Amira S. Ashour Pdf

This book thoroughly covers the remote sensing visualization and analysis techniques based on computational imaging and vision in Earth science. Remote sensing is considered a significant information source for monitoring and mapping natural and man-made land through the development of sensor resolutions that committed different Earth observation platforms. The book includes related topics for the different systems, models, and approaches used in the visualization of remote sensing images. It offers flexible and sophisticated solutions for removing uncertainty from the satellite data. It introduces real time big data analytics to derive intelligence systems in enterprise earth science applications. Furthermore, the book integrates statistical concepts with computer-based geographic information systems (GIS). It focuses on image processing techniques for observing data together with uncertainty information raised by spectral, spatial, and positional accuracy of GPS data. The book addresses several advanced improvement models to guide the engineers in developing different remote sensing visualization and analysis schemes. Highlights on the advanced improvement models of the supervised/unsupervised classification algorithms, support vector machines, artificial neural networks, fuzzy logic, decision-making algorithms, and Time Series Model and Forecasting are addressed. This book guides engineers, designers, and researchers to exploit the intrinsic design remote sensing systems. The book gathers remarkable material from an international experts' panel to guide the readers during the development of earth big data analytics and their challenges.

Environmental, Climate and Resource Issues on Earth. Governing Dynamics in Complex Systems

Author : Catalin Silviu Nutu
Publisher : Catalin Silviu Nutu
Page : 101 pages
File Size : 46,8 Mb
Release : 2021-11-15
Category : Business & Economics
ISBN : 9789355474322

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Environmental, Climate and Resource Issues on Earth. Governing Dynamics in Complex Systems by Catalin Silviu Nutu Pdf

Nature has been abused for some considerable time already, and still continues to be abused. Now, nature is fighting us back, increasingly stronger for some time, and it seems clearly that we are going to lose this fight, not only because we are not intelligent enough, but rather because we are also arrogant and greedy. Some time ago a joke has appeared that by being a bicyclist, who in fact myself I am, I am killing the world economy. Truth is, the present day world economy model is already long time ago an unhealthy and ill one and will anyway, by all means, very soon die, due to lack of enough cyclists. Though, the question remains whether we are smart enough to kill, we ourselves, this present dying economy model soon enough, before it is too late for saving our Planet, or all of us are killed in the dying process of this sick world economy. This book is based on previous papers of the author published within the International Dialogo Conference between 2018 and 2021, a conference on the dialogue between science and theology.

Complex Systems Design & Management Asia

Author : Michel-Alexandre Cardin,Saik Hay Fong,Daniel Krob,Lui Pao Chuen,Yang How Tan
Publisher : Springer
Page : 282 pages
File Size : 53,7 Mb
Release : 2016-01-25
Category : Technology & Engineering
ISBN : 9783319296432

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Complex Systems Design & Management Asia by Michel-Alexandre Cardin,Saik Hay Fong,Daniel Krob,Lui Pao Chuen,Yang How Tan Pdf

This book contains all refereed papers that were accepted to the second edition of the Asia-Pacific conference on « Complex Systems Design & Management Asia» (CSD&M Asia 2016) that took place in Singapore from February 24 to February 26, 2016 (Website: http://www.2016.csdm-asia.net/). These proceedings cover the most recent trends in the emerging field of Complex Systems, both from an academic and a professional perspective. A special focus is put on Smart Nations: Designing and Sustaining. The CSD&M Asia 2016 conference is organized under the guidance of the Singapore division of the Center of Excellence on Systems Architecture, Management, Economy and Strategy (CESAMES) – Legal address: C.E.S.A.M.E.S. Singapore – 16 Raffles Quay – #38-03 Hong Leong Building – Singapore 048581 (website : http://www.cesames.net/en – email: [email protected]).

Theory, Methodology, Tools and Applications for Modeling and Simulation of Complex Systems

Author : Lin Zhang,Xiao Song,Yunjie Wu
Publisher : Springer
Page : 651 pages
File Size : 45,7 Mb
Release : 2016-09-21
Category : Computers
ISBN : 9789811026690

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Theory, Methodology, Tools and Applications for Modeling and Simulation of Complex Systems by Lin Zhang,Xiao Song,Yunjie Wu Pdf

This four-volume set (CCIS 643, 644, 645, 646) constitutes the refereed proceedings of the 16th Asia Simulation Conference and the First Autumn Simulation Multi-Conference, AsiaSim / SCS AutumnSim 2016, held in Beijing, China, in October 2016. The 265 revised full papers presented were carefully reviewed and selected from 651 submissions. The papers in this third volume of the set are organized in topical sections on Cloud technologies in simulation applications; fractional calculus with applications and simulations; modeling and simulation for energy, environment and climate; SBA virtual prototyping engineering technology; simulation and Big Data.