Reshaping Society Through Analytics Collaboration And Decision Support

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Reshaping Society through Analytics, Collaboration, and Decision Support

Author : Lakshmi S. Iyer,Daniel J. Power
Publisher : Springer
Page : 269 pages
File Size : 40,5 Mb
Release : 2014-12-04
Category : Business & Economics
ISBN : 9783319115757

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Reshaping Society through Analytics, Collaboration, and Decision Support by Lakshmi S. Iyer,Daniel J. Power Pdf

This volume explores emerging research and pedagogy in analytics, collaboration, and decision support with an emphasis on business intelligence and social media. In general, the chapters help understand where technology involvement in human decisions is headed. Reading the chapters can help understand the opportunities and threats associated with the use of information technology in decision making. Computing and information technologies are reshaping our global society, but they can potentially reshape it in negative as well as positive ways. Analytics, collaboration and computerized decision support are powerful decision aiding and decision making tools that have enormous potential to impact crisis decision making, regulation of financial systems, healthcare decision making and many more important decision domains. Many information technologies can potentially support, assist and even decide for human decision makers. Despite the potential, some researchers think that we know the answers to how these technologies will change society. The "Wisdom of Crowds" or "Big Data" become the topic of the day and are soon replaced with new marketing terms. In many ways, mobile technology is just another form factor to adapt decision support capabilities too and experiment with new capabilities. The cloud is a nebulous metaphor that adds to the mystery of information technology. Wireless technology enables the ubiquitous presence of analytics and decision support. With new networking capabilities, collaboration is possible anywhere and everywhere using voice, video and text. Documents can be widely shared and massive numbers of documents can be carried on a small tablet computer. Recent developments in technologies impact the processes organizations use to make decisions. In addition, academics are looking for ways to enhance their pedagogy to train students to be more adept in understanding how emerging technology will be used effectively for decision making in organizations. The chapters are based on papers originally reviewed at the Special Interest Group on Decision Support Systems (SIGDSS) Workshop at the 2013 International Conference on Information Systems (ICIS 2013). Ultimately this volume endeavors to find a balance between systematizing what we know, so we can teach our findings from prior research better, and stimulating excitement to move the field in new directions.

Computer-Supported Collaborative Decision-Making

Author : Florin Gheorghe Filip,Constantin-Bălă Zamfirescu,Cristian Ciurea
Publisher : Springer
Page : 216 pages
File Size : 53,5 Mb
Release : 2016-10-27
Category : Technology & Engineering
ISBN : 9783319472218

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Computer-Supported Collaborative Decision-Making by Florin Gheorghe Filip,Constantin-Bălă Zamfirescu,Cristian Ciurea Pdf

This is a book about how management and control decisions are made by persons who collaborate and possibly use the support of an information system. The decision is the result of human conscious activities aiming at choosing a course of action for attaining a certain objective (or a set of objectives). The act of collaboration implies that several entities who work together and share responsibilities to jointly plan, implement and evaluate a program of activities to achieve the common goals. The book is intended to present a balanced view of the domain to include both well-established concepts and a selection of new results in the domains of methods and key technologies. It is meant to answer several questions, such as: a) “How are evolving the business models towards the ever more collaborative schemes?”; b) “What is the role of the decision-maker in the new context?” c) “What are the basic attributes and trends in the domain of decision-supporting information systems?”; d) “Which are the basic methods to aggregate the individual preferences?” e)“What is the impact of modern information and communication technologies on the design and usage of decision support systems for groups of people?”.

Demystifying Big Data, Machine Learning, and Deep Learning for Healthcare Analytics

Author : Pradeep N,Sandeep Kautish,Sheng-Lung Peng
Publisher : Academic Press
Page : 374 pages
File Size : 53,8 Mb
Release : 2021-06-10
Category : Science
ISBN : 9780128220443

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Demystifying Big Data, Machine Learning, and Deep Learning for Healthcare Analytics by Pradeep N,Sandeep Kautish,Sheng-Lung Peng Pdf

Demystifying Big Data, Machine Learning, and Deep Learning for Healthcare Analytics presents the changing world of data utilization, especially in clinical healthcare. Various techniques, methodologies, and algorithms are presented in this book to organize data in a structured manner that will assist physicians in the care of patients and help biomedical engineers and computer scientists understand the impact of these techniques on healthcare analytics. The book is divided into two parts: Part 1 covers big data aspects such as healthcare decision support systems and analytics-related topics. Part 2 focuses on the current frameworks and applications of deep learning and machine learning, and provides an outlook on future directions of research and development. The entire book takes a case study approach, providing a wealth of real-world case studies in the application chapters to act as a foundational reference for biomedical engineers, computer scientists, healthcare researchers, and clinicians. Provides a comprehensive reference for biomedical engineers, computer scientists, advanced industry practitioners, researchers, and clinicians to understand and develop healthcare analytics using advanced tools and technologies Includes in-depth illustrations of advanced techniques via dataset samples, statistical tables, and graphs with algorithms and computational methods for developing new applications in healthcare informatics Unique case study approach provides readers with insights for practical clinical implementation

Analytics and Data Science

Author : Amit V. Deokar,Ashish Gupta,Lakshmi S. Iyer,Mary C. Jones
Publisher : Springer
Page : 297 pages
File Size : 55,5 Mb
Release : 2017-10-05
Category : Computers
ISBN : 9783319580975

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Analytics and Data Science by Amit V. Deokar,Ashish Gupta,Lakshmi S. Iyer,Mary C. Jones Pdf

This book explores emerging research and pedagogy in analytics and data science that have become core to many businesses as they work to derive value from data. The chapters examine the role of analytics and data science to create, spread, develop and utilize analytics applications for practice. Selected chapters provide a good balance between discussing research advances and pedagogical tools in key topic areas in analytics and data science in a systematic manner. This book also focuses on several business applications of these emerging technologies in decision making, i.e., business analytics. The chapters in Analytics and Data Science: Advances in Research and Pedagogy are written by leading academics and practitioners that participated at the Business Analytics Congress 2015. Applications of analytics and data science technologies in various domains are still evolving. For instance, the explosive growth in big data and social media analytics requires examination of the impact of these technologies and applications on business and society. As organizations in various sectors formulate their IT strategies and investments, it is imperative to understand how various analytics and data science approaches contribute to the improvements in organizational information processing and decision making. Recent advances in computational capacities coupled by improvements in areas such as data warehousing, big data, analytics, semantics, predictive and descriptive analytics, visualization, and real-time analytics have particularly strong implications on the growth of analytics and data science.

Research Anthology on Strategies for Using Social Media as a Service and Tool in Business

Author : Management Association, Information Resources
Publisher : IGI Global
Page : 1865 pages
File Size : 41,5 Mb
Release : 2021-05-28
Category : Computers
ISBN : 9781799890218

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Research Anthology on Strategies for Using Social Media as a Service and Tool in Business by Management Association, Information Resources Pdf

Social media has become an integral part of society as social networking has become a main form of communication and human interaction. To stay relevant, businesses have adopted social media tactics to interact with consumers, conduct business, and remain competitive. Social technologies have reached a vital point in the business world, being essential in strategic decision-making processes, building relationships with consumers, marketing and branding efforts, and other important areas. While social media continues to gain importance in modern society, it is essential to determine how it functions in contemporary business. The Research Anthology on Strategies for Using Social Media as a Service and Tool in Business provides updated information on how businesses are strategically using social media and explores the role of social media in keeping businesses competitive in the global economy. The chapters will discuss how social tools work, what services businesses are utilizing, both the benefits and challenges to how social media is changing the modern business atmosphere, and more. This book is essential for researchers, instructors, social media managers, business managers, students, executives, practitioners, industry professionals, social media analysts, and all audiences interested in how social media is being used in modern businesses as both a service and integral tool.

Tomorrow's Learning: Involving Everyone. Learning with and about Technologies and Computing

Author : Arthur Tatnall,Mary Webb
Publisher : Springer
Page : 670 pages
File Size : 51,9 Mb
Release : 2018-01-25
Category : Education
ISBN : 9783319743103

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Tomorrow's Learning: Involving Everyone. Learning with and about Technologies and Computing by Arthur Tatnall,Mary Webb Pdf

This book constitutes the refereed post-conference proceedings of the 11th IFIP TC 3 World Conference on Computers in Education, WCCE 2017, held in Dublin, Ireland, in July 2017. The 57 revised full papers and 10 short papers were carefully reviewed and selected from 116 submissions during two rounds of reviewing and improvement. The papers are organized in the following topical sections: futures of technology for learning and education; innovative practices with learning technologies; and computer science education and its future focus and development. Also included is "The Dublin Declaration" which identifies key aspects of innovation, development successes, concerns and interests in relation to ICT and education.

Handbook of Research on Modernization and Accountability in Public Sector Management

Author : Azevedo, Graça Maria do Carmo,da Silva Oliveira, Jonas,Marques, Rui Pedro Figueiredo,Ferreira, Augusta da Conceição Santos
Publisher : IGI Global
Page : 539 pages
File Size : 43,6 Mb
Release : 2018-03-02
Category : Political Science
ISBN : 9781522537328

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Handbook of Research on Modernization and Accountability in Public Sector Management by Azevedo, Graça Maria do Carmo,da Silva Oliveira, Jonas,Marques, Rui Pedro Figueiredo,Ferreira, Augusta da Conceição Santos Pdf

The effects of recent economic and financial crises have reached an international scale. A number of different nations have experienced the fallout of these events, calling into question issues of accountability and reform in public management. The Handbook of Research on Modernization and Accountability in Public Sector Management is an essential scholarly publication that focuses on responsibility within public sector institutions and the importance of these institutions being ethical, transparent, and rigorous. Featuring coverage on a broad range of topics, such as corporate social responsibility, e-government, and financial accountability, this publication is geared toward regulatory authorities, researchers, managers, and professionals working in the public domain.

Artificial Intelligence in Education

Author : Maria Mercedes Rodrigo,Noburu Matsuda,Alexandra I. Cristea,Vania Dimitrova
Publisher : Springer Nature
Page : 814 pages
File Size : 50,9 Mb
Release : 2022-07-26
Category : Computers
ISBN : 9783031116445

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Artificial Intelligence in Education by Maria Mercedes Rodrigo,Noburu Matsuda,Alexandra I. Cristea,Vania Dimitrova Pdf

This two-volume set LNAI 13355 and 13356 constitutes the refereed proceedings of the 23rd International Conference on Artificial Intelligence in Education, AIED 2022, held in Durham, UK, in July 2022. The 40 full papers and 40 short papers presented together with 2 keynotes, 6 industry papers, 12 DC papers, 6 Workshop papers, 10 Practitioner papers, 97 Posters and Late-Breaking Results were carefully reviewed and selected from 243 submissions. The conference presents topics such as intelligent systems and the cognitive sciences for the improvement and advancement of education, the science and engineering of intelligent interactive learning systems. The theme for the AIED 2022 conference was „AI in Education: Bridging the gap between academia, business, and non-pro t in preparing future-proof generations towards ubiquitous AI."

Earthquake Occurrence

Author : Rodolfo Console,Maura Murru,Giuseppe Falcone
Publisher : John Wiley & Sons
Page : 166 pages
File Size : 54,8 Mb
Release : 2017-08-07
Category : Mathematics
ISBN : 9781786301246

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Earthquake Occurrence by Rodolfo Console,Maura Murru,Giuseppe Falcone Pdf

Earthquake Occurrence provides the reader with a review of algorithms applicable for modeling seismicity, such as short-term earthquake clustering and pseudo-periodic long-term behavior of major earthquakes. The concept of the likelihood ratio of a set of observations under different hypotheses is applied for comparison among various models. In short-term models, known by the term ETAS, the occurrence space and time rate density of earthquakes is modeled as the sum of two terms, one representing the independent or spontaneous events, and the other representing the activity triggered by previous earthquakes. Examples of the application of such algorithms in real cases are also reported. Dealing with long-term recurrence models, renewal time-dependent models, implying a pseudo-periodicity of earthquake occurrence, are compared with the simple time-independent Poisson model, in which every event occurs regardless of what has occurred in the past. The book also introduces a number of computer codes developed by the authors over decades of seismological research.

Trends in Deep Learning Methodologies

Author : Vincenzo Piuri,Sandeep Raj,Angelo Genovese,Rajshree Srivastava
Publisher : Academic Press
Page : 308 pages
File Size : 49,6 Mb
Release : 2020-11-12
Category : Computers
ISBN : 9780128232682

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Trends in Deep Learning Methodologies by Vincenzo Piuri,Sandeep Raj,Angelo Genovese,Rajshree Srivastava Pdf

Trends in Deep Learning Methodologies: Algorithms, Applications, and Systems covers deep learning approaches such as neural networks, deep belief networks, recurrent neural networks, convolutional neural networks, deep auto-encoder, and deep generative networks, which have emerged as powerful computational models. Chapters elaborate on these models which have shown significant success in dealing with massive data for a large number of applications, given their capacity to extract complex hidden features and learn efficient representation in unsupervised settings. Chapters investigate deep learning-based algorithms in a variety of application, including biomedical and health informatics, computer vision, image processing, and more. In recent years, many powerful algorithms have been developed for matching patterns in data and making predictions about future events. The major advantage of deep learning is to process big data analytics for better analysis and self-adaptive algorithms to handle more data. Deep learning methods can deal with multiple levels of representation in which the system learns to abstract higher level representations of raw data. Earlier, it was a common requirement to have a domain expert to develop a specific model for each specific application, however, recent advancements in representation learning algorithms allow researchers across various subject domains to automatically learn the patterns and representation of the given data for the development of specific models. Provides insights into the theory, algorithms, implementation and the application of deep learning techniques Covers a wide range of applications of deep learning across smart healthcare and smart engineering Investigates the development of new models and how they can be exploited to find appropriate solutions

Complex Networks & Their Applications XII

Author : Hocine Cherifi,Luis M. Rocha,Chantal Cherifi,Murat Donduran
Publisher : Springer Nature
Page : 501 pages
File Size : 42,6 Mb
Release : 2024
Category : Computer networks
ISBN : 9783031534720

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Complex Networks & Their Applications XII by Hocine Cherifi,Luis M. Rocha,Chantal Cherifi,Murat Donduran Pdf

This book highlights cutting-edge research in the field of network science, offering scientists, researchers, students and practitioners a unique update on the latest advances in theory and a multitude of applications. It presents the peer-reviewed proceedings of the XII International Conference on Complex Networks and their Applications (COMPLEX NETWORKS 2023). The carefully selected papers cover a wide range of theoretical topics such as network embedding and network geometry; community structure, network dynamics; diffusion, epidemics and spreading processes; machine learning and graph neural networks as well as all the main network applications, including social and political networks; networks in finance and economics; biological networks and technological networks.

Mirrored Spaces

Author : Jörg Scheffer
Publisher : Springer Nature
Page : 178 pages
File Size : 41,8 Mb
Release : 2024-06-01
Category : Electronic
ISBN : 9783658427931

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Mirrored Spaces by Jörg Scheffer Pdf

Decision Support, Analytics, and Business Intelligence, Third Edition

Author : Daniel J. Power,Ciara Heavin
Publisher : Business Expert Press
Page : 182 pages
File Size : 45,6 Mb
Release : 2017-06-08
Category : Business & Economics
ISBN : 9781631573927

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Decision Support, Analytics, and Business Intelligence, Third Edition by Daniel J. Power,Ciara Heavin Pdf

Rapid technology change is impacting organizations large and small. Mobile and Cloud computing, the Internet of Things (IoT), and “Big Data” are driving forces in organizational digital transformation. Decision support and analytics are available to many people in a business or organization. Business professionals need to learn about and understand computerized decision support for organizations to succeed. This text is targeted to busy managers and students who need to grasp the basics of computerized decision support, including: What is analytics? What is a decision support system? What is “Big Data”? What are “Big Data” business use cases? Overall, it addresses 61 fundamental questions. In a short period of time, readers can “get up to speed” on decision support, analytics, and business intelligence. The book then provides a quick reference to important recurring questions.

Ambient Intelligence

Author : Achilles Kameas,Kostas Stathis
Publisher : Springer
Page : 233 pages
File Size : 47,8 Mb
Release : 2018-10-29
Category : Computers
ISBN : 9783030030629

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Ambient Intelligence by Achilles Kameas,Kostas Stathis Pdf

This book constitutes the refereed proceedings of the 14th European Conference on Ambient Intelligence, AmI 2018, held in Larnaca, Cyprus, in November 2018. The 12 revised full papers presented together with 6 short papers were carefully reviewed and selected from 36 submissions. The papers cover topics such as: Ambient Services and Smart Environments; Sensor Networks and Artificial Intelligence; Activity and Situation Recognition; Ambient Intelligence in Education.

DSS 2.0 - Supporting Decision Making With New Technologies

Author : G.E. Phillips-Wren,S. Carlsson,A. Respício
Publisher : IOS Press
Page : 604 pages
File Size : 50,5 Mb
Release : 2014-05-22
Category : Computers
ISBN : 9781614993995

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DSS 2.0 - Supporting Decision Making With New Technologies by G.E. Phillips-Wren,S. Carlsson,A. Respício Pdf

Advances in technology have resulted in new and advanced methods to support decision-making. For example, artificial intelligence has enabled people to make better decisions hrough the use of Intelligent Decision Support Systems (DSS). Emerging research in DSS demonstrates that decision makers can operate in a more timely manner using real-time data, more accurately due to data mining and 'big data' methods, more strategically by considering a greater number of factors, more precisely and inclusively due to the availability of social networking data, and with a wider media reach with video and audio technology._x000D_ _x000D_This book presents the proceedings of the IFIP TC8/Working Group 8.3 conference held at the Université Pierre et Marie Curie in Paris, France, in June 2014. Throughout its history the conference has aimed to present the latest innovations and achievements in Decision Support Systems. This year the conference looks to the next generation with the theme of new technologies to enable DSS2.0. The topics covered include theoretical, empirical and design science research; case-based approaches in decision support systems; decision models in the real-world; healthcare information technology; decision making theory; knowledge management; knowledge and resource discovery; business intelligence; group decision support systems; collaborative decision making; analytics and ‘big data’; rich language for decision support; multimedia tools for DSS; Web 2.0 systems in decision support; context-based technologies for decision making; intelligent systems and technologies in decision support; organizational decision support; research methods in DSS 2.0; mobile DSS; competing on analytics; and social media analytics._x000D_ _x000D_ The book will be of interest to all those who develop or use Decision Support Systems. The variety of methods and applications illustrated by this international group of carefully reviewed papers should provide ideas and directions for future researchers and practitioners alike.