Modern Management Based On Big Data Iv

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Modern Management Based on Big Data IV

A.J. Tallón-Ballesteros
Modern Management Based on Big Data IV Book PDF

Author : A.J. Tallón-Ballesteros
Publisher : IOS Press
Page : 484 pages
File Size : 43,5 Mb
Release : 2023-08-23
Category : Computers
ISBN : 9781643684116

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Modern Management Based on Big Data IV by A.J. Tallón-Ballesteros Pdf

The concept of Big Data has become increasingly familiar in recent years, and it is already an indispensible tool in the management of everything from supply chains and transport to health and education. This book presents the proceedings of MMBD 2023, the 4th International Conference on Modern Management based on Big Data, held in Seoul, South Korea, from 1-4 August 2023. The 50 papers included here were selected from total of around 160 submissions after a rigorous review process. Papers delivered at the conference were divided into 3 main categories: Big Data, Modern Management, and a special session devoted to Big Data-driven manufacturing and service-industry supply-chain (SC) management, but in addition to these general topics, there were also a number of papers related to lifelong education. Topics covered in the book include innovation in online education management with big data; digital transformation in lifelong education; big data analysis in lifelong education management; green supply chain management; big data analytics in supply chains; policy and strategy for new energy and the environment; smart grid load and energy management; decision-making on sustainable transport policies; modern healthcare management; and social strategy to manage human relationships. Of particular interest are papers concerning big-data analysis and emerging applications. Presenting innovative original ideas and methods, together with significant results, and supported by clear and rigorous reasoning and compelling new evidence, the book will be of interest to all those who use Big Data to support their management strategies.

Modern Management Based on Big Data III

A.J. Tallón-Ballesteros
Modern Management Based on Big Data III Book PDF

Author : A.J. Tallón-Ballesteros
Publisher : IOS Press
Page : 498 pages
File Size : 48,8 Mb
Release : 2022-09-29
Category : Computers
ISBN : 9781643683010

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Modern Management Based on Big Data III by A.J. Tallón-Ballesteros Pdf

Data is the basic ingredient of all Big Data applications, and Big Data technologies are constantly deploying new strategies to maximise efficiency and reduce the time taken to process information. This book presents the proceedings of MMBD2022, the third edition of the conference series Modern Management based on Big Data (MMBD). The conference was originally scheduled to take place from 15 to 18 August 2022 in Seoul, South Korea, but was changed to a virtual event on the same dates. Some 200 submissions were received for presentation at the conference, 52 of which were ultimately accepted after exhaustive review by members of the programme committee and peer-reviewers, who took into account the breadth and depth of the research topics and the scope of MMBD. Topics covered include data analytics, modelling, technologies and visualization, architectures for parallel processing systems, data mining tools and techniques, machine learning algorithms, and big data for engineering applications. There are also papers covering modern management, including topics such as strategy, decision making, manufacturing and logistics-based systems, engineering economy, information systems and law-based information treatment, and papers from a special session covering big data in manufacturing, retail, healthcare, accounting, banking, education, global trading, and e-commerce. Big data analysis and emerging applications were popular topics. The book includes many innovative and original ideas, as well as results of general significance, all supported by clear and rigorous reasoning and compelling evidence and methods, and will be of interest to all those working with Big Data.

Modern Management Based on Big Data II and Machine Learning and Intelligent Systems III

A.J. Tallón-Ballesteros
Modern Management Based on Big Data II and Machine Learning and Intelligent Systems III Book PDF

Author : A.J. Tallón-Ballesteros
Publisher : IOS Press
Page : 738 pages
File Size : 43,5 Mb
Release : 2021-12-03
Category : Computers
ISBN : 9781643682259

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Modern Management Based on Big Data II and Machine Learning and Intelligent Systems III by A.J. Tallón-Ballesteros Pdf

It is data that guides the path of applications, and Big Data technologies are enabling new paths which can deal with information in a reasonable time to arrive at an approximate solution, rather than a more exact result in an unacceptably long time. This can be particularly important when dealing with an urgent issue such as that of the COVID-19 pandemic. This book presents the proceedings of two conferences: MMBD 2021 and MLIS 2021. The MMBD conference deals with two main subjects; those of Big Data and Modern Management. The MLIS conference aims to provide a platform for knowledge exchange of the most recent scientific and technological advances in the field of machine learning and intelligent systems. Both conferences were originally scheduled to be held from 8-11 November 2021, in Quanzhou, China and Xiamen, China respectively. Both conferences were ultimately held fully online on the same dates, hosted by Huaqiao University in Quanzhou and Xiamen respectively. The book is in two parts, and contains a total of 78 papers (54 from MMBD2021 and 24 from MLIS2021) selected after rigorous review from a total of some 300 submissions. The reviewers bore in mind the breadth and depth of the research topics that fall within the scope of MMBD and MLIS, and selected the 78 most promising and FAIA mainstream-relevant contributions for inclusion in this two-part volume. All the papers present original ideas or results of general significance supported by clear reasoning, compelling evidence and rigorous methods.

Modern Management based on Big Data I

A.J. Tallón-Ballesteros
Modern Management based on Big Data I Book PDF

Author : A.J. Tallón-Ballesteros
Publisher : IOS Press
Page : 202 pages
File Size : 43,5 Mb
Release : 2020-11-17
Category : Computers
ISBN : 9781643681214

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Modern Management based on Big Data I by A.J. Tallón-Ballesteros Pdf

The management of any modern organisation involves data, but the volume of information has become almost impossible for even the most up-to-date computer system to handle. Fortunately, big-data technologies are now enabling new ways of dealing with the flood of information, making an approximate solution possible in a reasonable time-frame, as an alternative to waiting for an exact result taking much longer. This book contains the 17 papers presented at the inaugural conference of the new series: Modern Management based on Big Data (MMBD 2020). The conference was originally scheduled to be held in Beijing, China, but due to measures to prevent the spread of the COVID-19 pandemic, the conference was held online from 18-21 October 2020. As its name suggests, the conference covers the connected aspects of Big Data and Modern Management, and the 17 papers included here, accepted from a total of 68 submissions, cover topics including data capture and storage; search, sharing and analytics; data visualization; machine learning algorithms for big data; distributed file systems and databases; management strategy and decision making; manufacturing and logistics systems; total quality management; management information systems; human factor engineering; and human resources. Providing an overview of current developments in modern management based on Big Data, the book will be of interest to all those working in the field.

Advances in Artificial Intelligence, Big Data and Algorithms

G. Grigoras,P. Lorenz
Advances in Artificial Intelligence Big Data and Algorithms Book PDF

Author : G. Grigoras,P. Lorenz
Publisher : IOS Press
Page : 1224 pages
File Size : 44,9 Mb
Release : 2023-12-19
Category : Computers
ISBN : 9781643684451

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Advances in Artificial Intelligence, Big Data and Algorithms by G. Grigoras,P. Lorenz Pdf

Computers and automation have revolutionized the lives of most people in the last two decades, and terminology such as algorithms, big data and artificial intelligence have become part of our everyday discourse. This book presents the proceedings of CAIBDA 2023, the 3rd International Conference on Artificial Intelligence, Big Data and Algorithms, held from 16 - 18 June 2023 as a hybrid conference in Zhengzhou, China. The conference provided a platform for some 200 participants to discuss the theoretical and computational aspects of research in artificial intelligence, big data and algorithms, reviewing the present status and future perspectives of the field. A total of 362 submissions were received for the conference, of which 148 were accepted following a thorough double-blind peer review. Topics covered at the conference included artificial intelligence tools and applications; intelligent estimation and classification; representation formats for multimedia big data; high-performance computing; and mathematical and computer modeling, among others. The book provides a comprehensive overview of this fascinating field, exploring future scenarios and highlighting areas where new ideas have emerged over recent years. It will be of interest to all those whose work involves artificial intelligence, big data and algorithms.

Digitalization and Management Innovation II

R.J. Dwyer
Digitalization and Management Innovation II Book PDF

Author : R.J. Dwyer
Publisher : IOS Press
Page : 456 pages
File Size : 42,5 Mb
Release : 2023-11-14
Category : Computers
ISBN : 9781643684536

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Digitalization and Management Innovation II by R.J. Dwyer Pdf

Information technology and digitalization are closely related topics, and both are intrinsic to many aspects of modern life. One important area to which they have particularly close links is lifelong education. This book presents the proceedings of DMI 2023, the 2nd International Conference on Digitalization and Management Innovation, held as a hybrid event from 1 to 4 August 2023 in Seoul, South Korea. The theme of the conference was Building a New Ecology of Lifelong Education, and the aim of the conference was to enable experts and scholars worldwide to share and debate the latest ideas in digitalization and management innovation as related to this subject. The 47 papers included here were selected from over 150 submitted papers after a thorough peer review process carried out by expert reviewers. Topics covered include the modern management of big data; interdisciplinary applications of digitalization and management innovation; and organizational behavior in digital transformation, among others. Offering an up to date overview of many aspects of digitalization and management innovation, the book provides a range of global perspectives which will be of interest to all those working in related fields.

ECAI 2023

K. Gal,A. Nowé,G.J. Nalepa
ECAI 2023 Book PDF

Author : K. Gal,A. Nowé,G.J. Nalepa
Publisher : IOS Press
Page : 3328 pages
File Size : 48,8 Mb
Release : 2023-10-18
Category : Computers
ISBN : 9781643684376

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ECAI 2023 by K. Gal,A. Nowé,G.J. Nalepa Pdf

Artificial intelligence, or AI, now affects the day-to-day life of almost everyone on the planet, and continues to be a perennial hot topic in the news. This book presents the proceedings of ECAI 2023, the 26th European Conference on Artificial Intelligence, and of PAIS 2023, the 12th Conference on Prestigious Applications of Intelligent Systems, held from 30 September to 4 October 2023 and on 3 October 2023 respectively in Kraków, Poland. Since 1974, ECAI has been the premier venue for presenting AI research in Europe, and this annual conference has become the place for researchers and practitioners of AI to discuss the latest trends and challenges in all subfields of AI, and to demonstrate innovative applications and uses of advanced AI technology. ECAI 2023 received 1896 submissions – a record number – of which 1691 were retained for review, ultimately resulting in an acceptance rate of 23%. The 390 papers included here, cover topics including machine learning, natural language processing, multi agent systems, and vision and knowledge representation and reasoning. PAIS 2023 received 17 submissions, of which 10 were accepted after a rigorous review process. Those 10 papers cover topics ranging from fostering better working environments, behavior modeling and citizen science to large language models and neuro-symbolic applications, and are also included here. Presenting a comprehensive overview of current research and developments in AI, the book will be of interest to all those working in the field.

Machine Learning and Artificial Intelligence

J.-L. Kim
Machine Learning and Artificial Intelligence Book PDF

Author : J.-L. Kim
Publisher : IOS Press
Page : 194 pages
File Size : 42,9 Mb
Release : 2023-11-09
Category : Computers
ISBN : 9781643684475

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Machine Learning and Artificial Intelligence by J.-L. Kim Pdf

Machine learning (ML) and intelligent systems are now comprehensively applied for the solving of practical problems. Emerging techniques such as big data analysis, deep neural networks, AI, and IoT have been adopted and integrated into the development and application of machine learning and intelligent systems, and their wide application in industry, medicine, engineering, education and other mainstream domains have made them a part of everyday life. This book presents the proceedings of MLIS 2023, the 5th International Conference on Machine Learning and Intelligent Systems, held as a hybrid event from 17-20 November 2023 in Macau, China. This annual conference aims to provide a platform for a knowledge exchange of the most recent scientific and technological advances in the field of ML and intelligent systems, and to strengthen links within the scientific community in related research areas. A total of 80 submissions were received for the conference, of which 20 papers were selected for presentation and publication in these proceedings following a rigorous peer-review process. Papers were assessed on originality, scientific/practical significance, compelling logical reasoning and language, and the selected papers cover a wide range of topics, and provide innovative and original ideas or results of general significance in the field of ML and intelligent systems. Providing a current overview of developments in the fields of machine learning and intelligent systems, the book will be of interest to all those working in this field.

Formal Ontology in Information Systems

N. Aussenac-Gilles,T. Hahmann,A. Galton
Formal Ontology in Information Systems Book PDF

Author : N. Aussenac-Gilles,T. Hahmann,A. Galton
Publisher : IOS Press
Page : 400 pages
File Size : 41,7 Mb
Release : 2024-01-16
Category : Computers
ISBN : 9781643684697

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Formal Ontology in Information Systems by N. Aussenac-Gilles,T. Hahmann,A. Galton Pdf

FOIS is the flagship conference of the International Association for Ontology and its Applications, a non-profit organization which promotes interdisciplinary research and international collaboration at the intersection of philosophical ontology, linguistics, logic, cognitive science, and computer science. This book presents the papers delivered at FOIS 2023, the 13th edition of the Formal Ontology in Information Systems conference. The event was held as a sequentially-hybrid event, face-to-face in Sherbrooke, Canada, from 17 to 20 July 2023, and online from 18 to 20 September 2023. In total, 62 articles from 19 different countries were submitted, out of which 25 were accepted for inclusion in the conference and for publication; corresponding to an acceptance rate of 40 percent. The contributions are separated into the book’s three sections: (1) Foundational ontological issues; (2) Methodological issues around the development, alignment, verification and use of ontologies; and (3) Domain ontologies and ontology-based applications. In these sections, ontological aspects from a wide variety of fields are covered, primarily from various engineering domains including cybersecurity, manufacturing, petroleum engineering, and robotics, but also extending to the humanities, social sciences, medicine, and dentistry. A noticeable trend among the contributions in this edition of the conference is the recognition that improving the tools to analyze, align, and improve ontologies is of paramount importance in continuing to advance the field of formal ontology. The book will be of interest to all formal and applied ontology researchers, and to those who use formal ontologies and information systems as part of their work.

Business Intelligence and Big Data

Celina M. Olszak
Business Intelligence and Big Data Book PDF

Author : Celina M. Olszak
Publisher : CRC Press
Page : 156 pages
File Size : 41,9 Mb
Release : 2020-11-17
Category : Computers
ISBN : 9781000218305

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Business Intelligence and Big Data by Celina M. Olszak Pdf

The twenty-first century is a time of intensifying competition and progressive digitization. Individual employees, managers, and entire organizations are under increasing pressure to succeed. The questions facing us today are: What does success mean? Is success a matter of chance and luck or perhaps is success a category that can be planned and properly supported? Business Intelligence and Big Data: Drivers of Organizational Success examines how the success of an organization largely depends on the ability to anticipate and quickly respond to challenges from the market, customers, and other stakeholders. Success is also associated with the potential to process and analyze a variety of information and the means to use modern information and communication technologies (ICTs). Success also requires creative behaviors and organizational cleverness from an organization. The book discusses business intelligence (BI) and Big Data (BD) issues in the context of modern management paradigms and organizational success. It presents a theoretically and empirically grounded investigation into BI and BD application in organizations and examines such issues as: Analysis and interpretation of the essence of BI and BD Decision support Potential areas of BI and BD utilization in organizations Factors determining success with using BI and BD The role of BI and BD in value creation for organizations Identifying barriers and constraints related to BI and BD design and implementation The book presents arguments and evidence confirming that BI and BD may be a trigger for making more effective decisions, improving business processes and business performance, and creating new business. The book proposes a comprehensive framework on how to design and use BI and BD to provide organizational success.

Effective Big Data Management and Opportunities for Implementation

Singh, Manoj Kumar,G., Dileep Kumar
Effective Big Data Management and Opportunities for Implementation Book PDF

Author : Singh, Manoj Kumar,G., Dileep Kumar
Publisher : IGI Global
Page : 324 pages
File Size : 42,6 Mb
Release : 2016-06-20
Category : Computers
ISBN : 9781522501831

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Effective Big Data Management and Opportunities for Implementation by Singh, Manoj Kumar,G., Dileep Kumar Pdf

“Big data” has become a commonly used term to describe large-scale and complex data sets which are difficult to manage and analyze using standard data management methodologies. With applications across sectors and fields of study, the implementation and possible uses of big data are limitless. Effective Big Data Management and Opportunities for Implementation explores emerging research on the ever-growing field of big data and facilitates further knowledge development on methods for handling and interpreting large data sets. Providing multi-disciplinary perspectives fueled by international research, this publication is designed for use by data analysts, IT professionals, researchers, and graduate-level students interested in learning about the latest trends and concepts in big data.

Big Data Governance

Peter Ghavami, Ph.d.
Big Data Governance Book PDF

Author : Peter Ghavami, Ph.d.
Publisher : Createspace Independent Publishing Platform
Page : 202 pages
File Size : 47,8 Mb
Release : 2015-11-26
Category : Electronic
ISBN : 1519559720

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Big Data Governance by Peter Ghavami, Ph.d. Pdf

Data is the new Gold and Analytics is the machinery to mine, mold and mint it. Data analytics has become core to business and decision making. The rapid increase in data volume, velocity and variety, known as big data, offers both opportunities and challenges. While open source solutions to store big data, like Hadoop and NoSQL offer platforms for exploring value and insight from big data, they were not originally developed with data security and governance in mind. Organizations that are launching big data initiatives face significant challenges for managing this data effectively. In this book, the author has collected best practices from the world's leading organizations who have successfully implemented big data platforms. He offers the latest techniques and methods for managing big data effectively. The book offers numerous policies, strategies and recipes for managing big data. It addresses many issues that are prevalent with data security, privacy, controls and life cycle management offering modern principles and open source architectures for successful governance of big data. Topics that cover the entire data management life cycle, data quality, data stewardship, regulatory considerations, data council, architectural and operational models are presented for successful management of big data. The book is a must-read for data scientists, data engineers and information technology leaders who are implementing big data platforms in their organizations.

Guidebook for Managing Data from Emerging Technologies for Transportation

Kelley Klaver Pecheux,Benjamin B. Pecheux,Gene Ledbetter,Chris Lambert (Systems consultant)
Guidebook for Managing Data from Emerging Technologies for Transportation Book PDF

Author : Kelley Klaver Pecheux,Benjamin B. Pecheux,Gene Ledbetter,Chris Lambert (Systems consultant)
Publisher : Unknown
Page : 107 pages
File Size : 49,5 Mb
Release : 2020
Category : Database management
ISBN : 0309673496

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Guidebook for Managing Data from Emerging Technologies for Transportation by Kelley Klaver Pecheux,Benjamin B. Pecheux,Gene Ledbetter,Chris Lambert (Systems consultant) Pdf

With increased connectivity between vehicles, sensors, systems, shared-use transportation, and mobile devices, unexpected and unparalleled amounts of data are being added to the transportation domain at a rapid rate, and these data are too large, too varied in nature, and will change too quickly to be handled by the traditional database management systems of most transportation agencies. The TRB National Cooperative Highway Research Program's NCHRP Research Report 952: Guidebook for Managing Data from Emerging Technologies for Transportation provides guidance, tools, and a big data management framework, and it lays out a roadmap for transportation agencies on how they can begin to shift - technically, institutionally, and culturally - toward effectively managing data from emerging technologies. Modern, flexible, and scalable "big data" methods to manage these data need to be adopted by transportation agencies if the data are to be used to facilitate better decision-making. As many agencies are already forced to do more with less while meeting higher public expectations, continuing with traditional data management systems and practices will prove costly for agencies unable to shift.

Big Data Management

Peter Ghavami
Big Data Management Book PDF

Author : Peter Ghavami
Publisher : de Gruyter
Page : 0 pages
File Size : 54,8 Mb
Release : 2021
Category : Business & Economics
ISBN : 3110662914

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Big Data Management by Peter Ghavami Pdf

Data analytics is core to business and decision making. The rapid increase in data volume, velocity and variety offers both opportunities and challenges. While open source solutions to store big data, like Hadoop, offer platforms for exploring value and insight from big data, they were not originally developed with data security and governance in mind. Big Data Management discusses numerous policies, strategies and recipes for managing big data. It addresses data security, privacy, controls and life cycle management offering modern principles and open source architectures for successful governance of big data. The author has collected best practices from the world's leading organizations that have successfully implemented big data platforms. The topics discussed cover the entire data management life cycle, data quality, data stewardship, regulatory considerations, data council, architectural and operational models are presented for successful management of big data. The book is a must-read for data scientists, data engineers and corporate leaders who are implementing big data platforms in their organizations.

Big Data Management

Fausto Pedro García Márquez,Benjamin Lev
Big Data Management Book PDF

Author : Fausto Pedro García Márquez,Benjamin Lev
Publisher : Springer
Page : 267 pages
File Size : 41,8 Mb
Release : 2016-11-15
Category : Computers
ISBN : 9783319454986

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Big Data Management by Fausto Pedro García Márquez,Benjamin Lev Pdf

This book focuses on the analytic principles of business practice and big data. Specifically, it provides an interface between the main disciplines of engineering/technology and the organizational and administrative aspects of management, serving as a complement to books in other disciplines such as economics, finance, marketing and risk analysis. The contributors present their areas of expertise, together with essential case studies that illustrate the successful application of engineering management theories in real-life examples.