Progress in Intelligent Decision Science

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Publisher : Springer Nature
ISBN 13 : 3030665011
Total Pages : 992 pages
Book Rating : 4.12/5 ( 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 : 4.22/5 ( 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 : 4.21/5 ( 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 : 4.92/5 ( 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 : 4.03/5 ( 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 : 4.60/5 ( 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 : 4.50/5 ( 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 : 4.79/5 ( 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 : 4.15/5 ( 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 : 4.88/5 ( 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.