Progress in Intelligent Decision Science

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Publisher : Springer Nature
ISBN 13 : 3030665011
Total Pages : 992 pages
Book Rating : 4.0/5 (36 download)

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Book Synopsis Progress in Intelligent Decision Science by : Tofigh Allahviranloo

Download or read book Progress in Intelligent Decision Science written by Tofigh Allahviranloo and published by Springer Nature. This book was released on 2021-01-29 with total page 992 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book contains the topics of artificial intelligence and deep learning that do have much application in real-life problems. The concept of uncertainty has long been used in applied science, especially decision making and a logical decision must be made in the field of uncertainty or in the real-life environment that is formed and combined with vague concepts and data. The chapters of this book are connected to the new concepts and aspects of decision making with uncertainty. Besides, other chapters are involved with the concept of data mining and decision making under uncertain computations.

Advances in Decision Science and Management

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Publisher : Springer Nature
ISBN 13 : 9811625026
Total Pages : 694 pages
Book Rating : 4.8/5 (116 download)

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Book Synopsis Advances in Decision Science and Management by : Taosheng Wang

Download or read book Advances in Decision Science and Management written by Taosheng Wang and published by Springer Nature. This book was released on 2021-07-26 with total page 694 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book discusses an emerging area in computer science, IT, and management, i.e., decision sciences and management. It includes studies that employ various computing techniques like machine learning to generate insights from huge amounts of available data; and which explore decision making for cross-platforms that contain heterogeneous data associated with complex assets; leadership; and team coordination. It also reveals the advantages of using decision sciences with management-oriented problems. The book includes a selection of the best papers presented at the Third International Conference on Decision Science and Management 2021 (ICDSM 2021), held at Hang Seng University of Hong Kong in China.

Advances in Data Science and Intelligent Data Communication Technologies for COVID-19

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Publisher : Springer Nature
ISBN 13 : 3030773027
Total Pages : 311 pages
Book Rating : 4.0/5 (37 download)

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Book Synopsis Advances in Data Science and Intelligent Data Communication Technologies for COVID-19 by : Aboul-Ella Hassanien

Download or read book Advances in Data Science and Intelligent Data Communication Technologies for COVID-19 written by Aboul-Ella Hassanien and published by Springer Nature. This book was released on 2021-07-23 with total page 311 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents the emerging developments in intelligent computing, machine learning, and data mining. It also provides insights on communications, network technologies, and the Internet of things. It offers various insights on the role of the Internet of things against COVID-19 and its potential applications. It provides the latest cloud computing improvements and advanced computing and addresses data security and privacy to secure COVID-19 data.

Machine Learning for Intelligent Decision Science

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Publisher : Springer Nature
ISBN 13 : 9811536899
Total Pages : 219 pages
Book Rating : 4.8/5 (115 download)

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Book Synopsis Machine Learning for Intelligent Decision Science by : Jitendra Kumar Rout

Download or read book Machine Learning for Intelligent Decision Science written by Jitendra Kumar Rout and published by Springer Nature. This book was released on 2020-04-02 with total page 219 pages. Available in PDF, EPUB and Kindle. Book excerpt: The book discusses machine learning-based decision-making models, and presents intelligent, hybrid and adaptive methods and tools for solving complex learning and decision-making problems under conditions of uncertainty. Featuring contributions from data scientists, practitioners and educators, the book covers a range of topics relating to intelligent systems for decision science, and examines recent innovations, trends, and practical challenges in the field. The book is a valuable resource for academics, students, researchers and professionals wanting to gain insights into decision-making.

New Paradigm in Decision Science and Management

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Publisher : Springer Nature
ISBN 13 : 9811393303
Total Pages : 408 pages
Book Rating : 4.8/5 (113 download)

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Book Synopsis New Paradigm in Decision Science and Management by : Srikanta Patnaik

Download or read book New Paradigm in Decision Science and Management written by Srikanta Patnaik and published by Springer Nature. This book was released on 2019-09-20 with total page 408 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book discusses an emerging area in computer science, IT and management, i.e., decision sciences and management. It includes studies that employ various computing techniques like machine learning to generate insights from huge amounts of available data; and which explore decision-making for cross-platforms that contain heterogeneous data associated with complex assets; leadership; and team coordination. It also reveals the advantages of using decision sciences with management-oriented problems. The book includes a selection of the best papers presented at the International Conference on Decision Science and Management 2018 (ICDSM 2018), held at the Interscience Institute of Management and Technology (IIMT), Bhubaneswar, India.

Applied Intelligent Decision Making in Machine Learning

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Publisher : CRC Press
ISBN 13 : 9780367503369
Total Pages : 272 pages
Book Rating : 4.5/5 (33 download)

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Book Synopsis Applied Intelligent Decision Making in Machine Learning by : Himansu Das

Download or read book Applied Intelligent Decision Making in Machine Learning written by Himansu Das and published by CRC Press. This book was released on 2020-11-19 with total page 272 pages. Available in PDF, EPUB and Kindle. Book excerpt: The objective of this edited book is to share the outcomes from various research domains to develop efficient, adaptive, and intelligent models to handle the challenges related to decision making. It incorporates the advances in machine intelligent techniques such as data streaming, classification, clustering, pattern matching, feature selection, and deep learning in the decision-making process for several diversified applications such as agriculture, character recognition, landslide susceptibility, recommendation systems, forecasting air quality, healthcare, exchange rate prediction, and image dehazing. It also provides a premier interdisciplinary platform for scientists, researchers, practitioners, and educators to share their thoughts in the context of recent innovations, trends, developments, practical challenges, and advancements in the field of data mining, machine learning, soft computing, and decision science. It also focuses on the usefulness of applied intelligent techniques in the decision-making process in several aspects. To address these objectives, this edited book includes a dozen chapters contributed by authors from around the globe. The authors attempt to solve these complex problems using several intelligent machine-learning techniques. This allows researchers to understand the mechanism needed to harness the decision-making process using machine-learning techniques for their own respective endeavors.

Advances in Intelligent Data Analysis XVI

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Publisher : Springer
ISBN 13 : 3319687654
Total Pages : 361 pages
Book Rating : 4.3/5 (196 download)

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Book Synopsis Advances in Intelligent Data Analysis XVI by : Niall Adams

Download or read book Advances in Intelligent Data Analysis XVI written by Niall Adams and published by Springer. This book was released on 2017-10-20 with total page 361 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the conference proceedings of the 16th International Symposium on Intelligent Data Analysis, which was held in October 2017 in London, UK. The 28 full papers presented in this book were carefully reviewed and selected from 66 submissions. The traditional focus of the IDA symposium series is on end-to-end intelligent support for data analysis. IDA solicits papers on all aspects of intelligent data analysis, including papers on intelligent support for modelling and analyzing data from complex, dynamical systems.

Advances in Intelligent Data Analysis XXI

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Publisher : Springer Nature
ISBN 13 : 3031300475
Total Pages : 514 pages
Book Rating : 4.0/5 (313 download)

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Book Synopsis Advances in Intelligent Data Analysis XXI by : Bruno Crémilleux

Download or read book Advances in Intelligent Data Analysis XXI written by Bruno Crémilleux and published by Springer Nature. This book was released on 2023-03-31 with total page 514 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the proceedings of the 21st International Symposium on Intelligent Data Analysis, IDA 2022, which was held in Louvain-la-Neuve, Belgium, during April 12-14, 2023. The 38 papers included in this book were carefully reviewed and selected from 91 submissions. IDA is an international symposium presenting advances in the intelligent analysis of data. Distinguishing characteristics of IDA are its focus on novel, inspiring ideas, its focus on research, and its relatively small scale.

Advances in Intelligent Data Analysis XIX

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Publisher : Springer Nature
ISBN 13 : 3030742512
Total Pages : 454 pages
Book Rating : 4.0/5 (37 download)

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Book Synopsis Advances in Intelligent Data Analysis XIX by : Pedro Henriques Abreu

Download or read book Advances in Intelligent Data Analysis XIX written by Pedro Henriques Abreu and published by Springer Nature. This book was released on 2021-04-12 with total page 454 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the proceedings of the 19th International Symposium on Intelligent Data Analysis, IDA 2021, which was planned to take place in Porto, Portugal. Due to the COVID-19 pandemic the conference was held online during April 26-28, 2021. The 35 papers included in this book were carefully reviewed and selected from 113 submissions. The papers were organized in topical sections named: modeling with neural networks; modeling with statistical learning; modeling language and graphs; and modeling special data formats.

Recent Trends in Decision Science and Management

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Publisher : Springer Nature
ISBN 13 : 9811535884
Total Pages : 758 pages
Book Rating : 4.8/5 (115 download)

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Book Synopsis Recent Trends in Decision Science and Management by : Tao-Sheng Wang

Download or read book Recent Trends in Decision Science and Management written by Tao-Sheng Wang and published by Springer Nature. This book was released on 2020-05-07 with total page 758 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book discusses an emerging field of decision science that focuses on business processes and systems used to extract knowledge from large volumes of data to provide significant insights for crucial decisions in critical situations. It presents studies employing computing techniques like machine learning, which explore decision-making for cross-platforms that contain heterogeneous data associated with complex assets, leadership, and team coordination. It also reveals the advantages of using decision sciences with management-oriented problems. The book includes a selection of the best papers presented at the 2nd International Conference on Decision Science and Management (ICDSM 2019), held at Hunan International Economics University, China, on 20–21 September 2019.

Intelligent Decision Making: An AI-Based Approach

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Publisher : Springer Science & Business Media
ISBN 13 : 3540768289
Total Pages : 414 pages
Book Rating : 4.5/5 (47 download)

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Book Synopsis Intelligent Decision Making: An AI-Based Approach by : Gloria Phillips-Wren

Download or read book Intelligent Decision Making: An AI-Based Approach written by Gloria Phillips-Wren and published by Springer Science & Business Media. This book was released on 2008-03-04 with total page 414 pages. Available in PDF, EPUB and Kindle. Book excerpt: Intelligent Decision Support Systems have the potential to transform human decision making by combining research in artificial intelligence, information technology, and systems engineering. The field of intelligent decision making is expanding rapidly due, in part, to advances in artificial intelligence and network-centric environments that can deliver the technology. Communication and coordination between dispersed systems can deliver just-in-time information, real-time processing, collaborative environments, and globally up-to-date information to a human decision maker. At the same time, artificial intelligence techniques have demonstrated that they have matured sufficiently to provide computational assistance to humans in practical applications. This book includes contributions from leading researchers in the field beginning with the foundations of human decision making and the complexity of the human cognitive system. Researchers contrast human and artificial intelligence, survey computational intelligence, present pragmatic systems, and discuss future trends. This book will be an invaluable resource to anyone interested in the current state of knowledge and key research gaps in the rapidly developing field of intelligent decision support.

Advances on Intelligent Informatics and Computing

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Publisher : Springer Nature
ISBN 13 : 3030987418
Total Pages : 793 pages
Book Rating : 4.0/5 (39 download)

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Book Synopsis Advances on Intelligent Informatics and Computing by : Faisal Saeed

Download or read book Advances on Intelligent Informatics and Computing written by Faisal Saeed and published by Springer Nature. This book was released on 2022-03-29 with total page 793 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents emerging trends in intelligent computing and informatics. This book presents the papers included in the proceedings of the 6th International Conference of Reliable Information and Communication Technology 2021 (IRICT 2021) that was held virtually, on Dec. 22-23, 2021. The main theme of the book is “Advances on Intelligent Informatics and Computing”. A total of 87 papers were submitted to the conference, but only 66 papers were accepted and published in this book. The book presents several hot research topics which include health informatics, artificial intelligence, soft computing, data science, big data analytics, Internet of Things (IoT), intelligent communication systems, cybersecurity, and information systems.

Advances in Intelligent Data Analysis XX

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Publisher : Springer Nature
ISBN 13 : 3031013336
Total Pages : 418 pages
Book Rating : 4.0/5 (31 download)

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Book Synopsis Advances in Intelligent Data Analysis XX by : Tassadit Bouadi

Download or read book Advances in Intelligent Data Analysis XX written by Tassadit Bouadi and published by Springer Nature. This book was released on 2022-04-06 with total page 418 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the proceedings of the 20th International Symposium on Intelligent Data Analysis, IDA 2022, which was held in Rennes, France, during April 20-22, 2022. The 31 papers included in this book were carefully reviewed and selected from 73 submissions. They deal with high quality, novel research in intelligent data analysis.

Advances in Intelligent Data Analysis XIV

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Publisher : Springer
ISBN 13 : 3319244655
Total Pages : 346 pages
Book Rating : 4.3/5 (192 download)

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Book Synopsis Advances in Intelligent Data Analysis XIV by : Elisa Fromont

Download or read book Advances in Intelligent Data Analysis XIV written by Elisa Fromont and published by Springer. This book was released on 2015-10-12 with total page 346 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed conference proceedings of the 14th International Conference on Intelligent Data Analysis, which was held in October 2015 in Saint Étienne. France. The 29 revised full papers were carefully reviewed and selected from 65 submissions. The traditional focus of the IDA symposium series is on end-to-end intelligent support for data analysis. The symposium aims to provide a forum for inspiring research contributions that might be considered preliminary in other leading conferences and journals, but that have a potentially dramatic impact. To facilitate this, IDA 2015 will feature two tracks: a regular "Proceedings" track, as well as a "Horizon" track for early-stage research of potentially ground-breaking nature.

Knowledge, Information and Creativity Support Systems: Recent Trends, Advances and Solutions

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Publisher : Springer
ISBN 13 : 3319190903
Total Pages : 566 pages
Book Rating : 4.3/5 (191 download)

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Book Synopsis Knowledge, Information and Creativity Support Systems: Recent Trends, Advances and Solutions by : Andrzej M.J. Skulimowski

Download or read book Knowledge, Information and Creativity Support Systems: Recent Trends, Advances and Solutions written by Andrzej M.J. Skulimowski and published by Springer. This book was released on 2016-02-25 with total page 566 pages. Available in PDF, EPUB and Kindle. Book excerpt: This volume contains some carefully selected papers presented at the 8th International Conference on Knowledge, Information and Creativity Support Systems KICCS’2013, which was held in Kraków and Wieliczka, Poland in November 2013. In most cases the papers are extended versions with newer results added, representing virtually all topics covered by the conference. The KICCS’2013 focus theme, “Looking into the Future of Creativity and Decision Support Systems”, clearly indicates that the growing complexity calls for some deeper and insightful discussions about the future but, obviously, complemented with an exposition of modern present developments that have proven their power and usefulness. Following this theme, the list of topics presented in this volume include some future-oriented fields of research, such as anticipatory networks and systems, foresight support systems, relevant newly-emerging applications, exemplified by autonomous creative systems. Special attention was also given to cognitive and collaborative aspects of creativity.

Breakthroughs in Decision Science and Risk Analysis

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Publisher : John Wiley & Sons
ISBN 13 : 1118938895
Total Pages : 328 pages
Book Rating : 4.1/5 (189 download)

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Book Synopsis Breakthroughs in Decision Science and Risk Analysis by : Louis Anthony Cox, Jr.

Download or read book Breakthroughs in Decision Science and Risk Analysis written by Louis Anthony Cox, Jr. and published by John Wiley & Sons. This book was released on 2015-02-23 with total page 328 pages. Available in PDF, EPUB and Kindle. Book excerpt: Discover recent powerful advances in the theory, methods, and applications of decision and risk analysis Focusing on modern advances and innovations in the field of decision analysis (DA), Breakthroughs in Decision Science and Risk Analysis presents theories and methods for making, improving, and learning from significant practical decisions. The book explains these new methods and important applications in an accessible and stimulating style for readers from multiple backgrounds, including psychology, economics, statistics, engineering, risk analysis, operations research, and management science. Highlighting topics not conventionally found in DA textbooks, the book illustrates genuine advances in practical decision science, including developments and trends that depart from, or break with, the standard axiomatic DA paradigm in fundamental and useful ways. The book features methods for coping with realistic decision-making challenges such as online adaptive learning algorithms, innovations in robust decision-making, and the use of a variety of models to explain available data and recommend actions. In addition, the book illustrates how these techniques can be applied to dramatically improve risk management decisions. Breakthroughs in Decision Science and Risk Analysis also includes: An emphasis on new approaches rather than only classical and traditional ideas Discussions of how decision and risk analysis can be applied to improve high-stakes policy and management decisions Coverage of the potential value and realism of decision science within applications in financial, health, safety, environmental, business, engineering, and security risk management Innovative methods for deciding what actions to take when decision problems are not completely known or described or when useful probabilities cannot be specified Recent breakthroughs in the psychology and brain science of risky decisions, mathematical foundations and techniques, and integration with learning and pattern recognition methods from computational intelligence Breakthroughs in Decision Science and Risk Analysis is an ideal reference for researchers, consultants, and practitioners in the fields of decision science, operations research, business, management science, engineering, statistics, and mathematics. The book is also an appropriate guide for managers, analysts, and decision and policy makers in the areas of finance, health and safety, environment, business, engineering, and security risk management.

Intelligent Decision Support Systems

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Author :
Publisher : Springer Nature
ISBN 13 : 3030877906
Total Pages : 826 pages
Book Rating : 4.0/5 (38 download)

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Book Synopsis Intelligent Decision Support Systems by : Miquel Sànchez-Marrè

Download or read book Intelligent Decision Support Systems written by Miquel Sànchez-Marrè and published by Springer Nature. This book was released on 2022-03-28 with total page 826 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book, with invaluable contributions of Professor Franz Wotawa in chapters 5 and 7, presents the potential use and implementation of intelligent techniques in decision making processes involved in organizations and companies. It provides a thorough analysis of decisions, reviewing the classical decision theory, and describing usual methods for modeling the decision process. It describes the chronological evolution of Decision Support Systems (DSS) from early Management Information Systems until the appearance of Intelligent Decision Support Systems (IDSS). It explains the most commonly used intelligent techniques, both data-driven and model-driven, and illustrates the use of knowledge models in Decision Support through case studies. The author pays special attention to the whole Data Science process, which provides intelligent data-driven models in IDSS. The book describes main uncertainty models used in Artificial Intelligence to model inexactness; covers recommender systems; and reviews available development tools for inducing data-driven models, for using model-driven methods and for aiding the development of Intelligent Decision Support Systems.