Lecture Notes In Data Engineering Computational Intelligence And Decision Making

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Lecture Notes in Data Engineering, Computational Intelligence, and Decision Making

Author : Sergii Babichev,Volodymyr Lytvynenko
Publisher : Springer Nature
Page : 735 pages
File Size : 52,7 Mb
Release : 2022-09-13
Category : Technology & Engineering
ISBN : 9783031162039

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Lecture Notes in Data Engineering, Computational Intelligence, and Decision Making by Sergii Babichev,Volodymyr Lytvynenko Pdf

This book contains of 39 scientific papers which include the results of research regarding the current directions in the fields of data mining, machine learning and decision-making. This book is devoted to current problems of artificial and computational intelligence including decision-making systems. Collecting, analysis and processing information are the current directions of modern computer science. Development of new modern information and computer technologies for data analysis and processing in various fields of data mining and machine learning create the conditions for increasing effectiveness of the information processing by both the decrease of time and the increase of accuracy of the data processing. The papers are divided in terms of their topic into three sections. The first section "Analysis and Modeling of Hybrid Systems and Processes" contains of 11 papers, and the second section "Theoretical and Applied Aspects of Decision-Making Systems" contains of 11 ones too. There are 17 papers in the third section "Data Engineering, Computational Intelligence and Inductive Modeling". The book is focused to scientists and developers in the fields of data mining, machine learning and decision-making systems.

Lecture Notes in Data Engineering, Computational Intelligence, and Decision Making

Author : Sergii Babichev,Volodymyr Lytvynenko
Publisher : Unknown
Page : 0 pages
File Size : 51,8 Mb
Release : 2022
Category : Computational intelligence
ISBN : 3031162048

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Lecture Notes in Data Engineering, Computational Intelligence, and Decision Making by Sergii Babichev,Volodymyr Lytvynenko Pdf

This book contains of 39 scientific papers which include the results of research regarding the current directions in the fields of data mining, machine learning and decision-making. This book is devoted to current problems of artificial and computational intelligence including decision-making systems. Collecting, analysis and processing information are the current directions of modern computer science. Development of new modern information and computer technologies for data analysis and processing in various fields of data mining and machine learning create the conditions for increasing effectiveness of the information processing by both the decrease of time and the increase of accuracy of the data processing. The papers are divided in terms of their topic into three sections. The first section "Analysis and Modeling of Hybrid Systems and Processes" contains of 11 papers, and the second section "Theoretical and Applied Aspects of Decision-Making Systems" contains of 11 ones too. There are 17 papers in the third section "Data Engineering, Computational Intelligence and Inductive Modeling". The book is focused to scientists and developers in the fields of data mining, machine learning and decision-making systems.

Lecture Notes in Computational Intelligence and Decision Making

Author : Sergii Babichev,Volodymyr Lytvynenko
Publisher : Springer Nature
Page : 805 pages
File Size : 51,9 Mb
Release : 2021-07-22
Category : Technology & Engineering
ISBN : 9783030820145

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Lecture Notes in Computational Intelligence and Decision Making by Sergii Babichev,Volodymyr Lytvynenko Pdf

This book is devoted to current problems of artificial and computational intelligence including decision-making systems. Collecting, analysis, and processing information are the current directions of modern computer science. Development of new modern information and computer technologies for data analysis and processing in various fields of data mining and machine learning creates the conditions for increasing effectiveness of the information processing by both the decrease of time and the increase of accuracy of the data processing. The book contains of 54 science papers which include the results of research concerning the current directions in the fields of data mining, machine learning, and decision making. The papers are divided in terms of their topic into three sections. The first section "Analysis and Modeling of Complex Systems and Processes" contains of 26 papers, and the second section "Theoretical and Applied Aspects of Decision-Making Systems" contains of 13 papers. There are 15 papers in the third section "Computational Intelligence and Inductive Modeling". The book is focused to scientists and developers in the fields of data mining, machine learning and decision-making systems.

Lecture Notes in Computational Intelligence and Decision Making

Author : Volodymyr Lytvynenko,Sergii Babichev,Waldemar Wójcik,Olena Vynokurova,Svetlana Vyshemyrskaya,Svetlana Radetskaya
Publisher : Springer
Page : 715 pages
File Size : 45,8 Mb
Release : 2019-07-23
Category : Technology & Engineering
ISBN : 9783030264741

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Lecture Notes in Computational Intelligence and Decision Making by Volodymyr Lytvynenko,Sergii Babichev,Waldemar Wójcik,Olena Vynokurova,Svetlana Vyshemyrskaya,Svetlana Radetskaya Pdf

Information and computer technologies for data analysis and processing in various fields of data mining and machine learning generates the conditions for increasing the effectiveness of information processing by making it faster and more accurate. The book includes 49 scientific papers presenting the latest research in the fields of data mining, machine learning and decision-making. Divided into three sections: “Analysis and Modeling of Complex Systems and Processes”; “Theoretical and Applied Aspects of Decision-Making Systems”; and “Computational Intelligence and Inductive Modeling”, the book is of interest to scientists and developers in the field.

Proceedings of International Conference on Computational Intelligence and Data Engineering

Author : Nabendu Chaki,Jerzy Pejas,Nagaraju Devarakonda,Ram Mohan Rao Kovvur
Publisher : Springer Nature
Page : 470 pages
File Size : 40,5 Mb
Release : 2020-12-20
Category : Computers
ISBN : 9789811587672

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Proceedings of International Conference on Computational Intelligence and Data Engineering by Nabendu Chaki,Jerzy Pejas,Nagaraju Devarakonda,Ram Mohan Rao Kovvur Pdf

This book is a collection of high-quality research work on cutting-edge technologies and the most-happening areas of computational intelligence and data engineering. It includes selected papers from the International Conference on Computational Intelligence and Data Engineering (ICCIDE 2020). It covers various topics, including collective intelligence, intelligent transportation systems, fuzzy systems, Bayesian network, ant colony optimization, data privacy and security, data mining, data warehousing, big data analytics, cloud computing, natural language processing, swarm intelligence and speech processing.

Machine Learning and Computational Intelligence Techniques for Data Engineering

Author : Pradeep Singh,Deepak Singh,Vivek Tiwari,Sanjay Misra
Publisher : Springer Nature
Page : 885 pages
File Size : 48,8 Mb
Release : 2023-05-15
Category : Technology & Engineering
ISBN : 9789819900473

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Machine Learning and Computational Intelligence Techniques for Data Engineering by Pradeep Singh,Deepak Singh,Vivek Tiwari,Sanjay Misra Pdf

This book comprises the proceedings of the 4th International Conference on Machine Intelligence and Signal Processing (MISP2022). The contents of this book focus on research advancements in machine intelligence, signal processing, and applications. The book covers the real-time challenges involved while processing big data analytics and stream processing with the integration of smart data computing services and interconnectivity. It also includes the progress in signal processing to process the normal and abnormal categories of real-world signals such as signals generated from IoT devices, smart systems, speech, videos and involves biomedical signal processing: electrocardiogram (ECG), electroencephalogram (EEG), magnetoencephalography (MEG), electromyogram (EMG), etc. This book proves to be a valuable resource for those in academia and industry.

Decision Intelligence Solutions

Author : Nitasha Hasteer,Seán McLoone,Manju Khari,Purushottam Sharma
Publisher : Springer Nature
Page : 388 pages
File Size : 46,9 Mb
Release : 2024-01-15
Category : Technology & Engineering
ISBN : 9789819959945

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Decision Intelligence Solutions by Nitasha Hasteer,Seán McLoone,Manju Khari,Purushottam Sharma Pdf

This book comprises the select peer-reviewed proceedings of the 3rd International Conference on Information Technology (InCITe-2023). It aims to provide a comprehensive and broad-spectrum picture of state-of-the-art research and development in decision intelligence, deep learning, machine learning, artificial intelligence, data science, and enabling technologies for IoT, blockchain, and other futuristic computational technologies. It covers various topics that span cutting-edge, collaborative technologies and areas of computation. The content would serve as a rich knowledge repository on information & communication technologies, neural networks, fuzzy systems, natural language processing, data mining & warehousing, big data analytics, cloud computing, security, social networks and intelligence, decision-making and modeling, information systems, and IT architectures. This book provides a valuable resource for those in academia and industry.

Lecture Notes in Computational Intelligence and Decision Making

Author : Volodymyr Lytvynenko,Sergii Babichev,Waldemar Wójcik,Olena Vynokurova,Svetlana Vyshemyrskaya,Svetlana Radetskaya
Publisher : Springer
Page : 715 pages
File Size : 53,5 Mb
Release : 2019-07-24
Category : Computers
ISBN : 3030264734

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Lecture Notes in Computational Intelligence and Decision Making by Volodymyr Lytvynenko,Sergii Babichev,Waldemar Wójcik,Olena Vynokurova,Svetlana Vyshemyrskaya,Svetlana Radetskaya Pdf

Information and computer technologies for data analysis and processing in various fields of data mining and machine learning generates the conditions for increasing the effectiveness of information processing by making it faster and more accurate. The book includes 49 scientific papers presenting the latest research in the fields of data mining, machine learning and decision-making. Divided into three sections: “Analysis and Modeling of Complex Systems and Processes”; “Theoretical and Applied Aspects of Decision-Making Systems”; and “Computational Intelligence and Inductive Modeling”, the book is of interest to scientists and developers in the field.

Proceedings of International Conference on Computational Intelligence, Data Science and Cloud Computing

Author : Valentina Emilia Balas,Aboul Ella Hassanien,Satyajit Chakrabarti,Lopa Mandal
Publisher : Springer Nature
Page : 795 pages
File Size : 51,8 Mb
Release : 2021
Category : Artificial intelligence
ISBN : 9789813349681

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Proceedings of International Conference on Computational Intelligence, Data Science and Cloud Computing by Valentina Emilia Balas,Aboul Ella Hassanien,Satyajit Chakrabarti,Lopa Mandal Pdf

This book includes selected papers presented at International Conference on Computational Intelligence, Data Science and Cloud Computing (IEM-ICDC) 2020, organized by the Department of Information Technology, Institute of Engineering & Management, Kolkata, India, during 25-27 September 2020. It presents substantial new research findings about AI and robotics, image processing and NLP, cloud computing and big data analytics as well as in cyber security, blockchain and IoT, and various allied fields. The book serves as a reference resource for researchers and practitioners in academia and industry.

Financial Decision Making Using Computational Intelligence

Author : Michael Doumpos,Constantin Zopounidis,Panos M. Pardalos
Publisher : Springer Science & Business Media
Page : 336 pages
File Size : 54,5 Mb
Release : 2012-07-23
Category : Business & Economics
ISBN : 9781461437734

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Financial Decision Making Using Computational Intelligence by Michael Doumpos,Constantin Zopounidis,Panos M. Pardalos Pdf

The increasing complexity of financial problems and the enormous volume of financial data often make it difficult to apply traditional modeling and algorithmic procedures. In this context, the field of computational intelligence provides an arsenal of particularly useful techniques. These techniques include new modeling tools for decision making under risk and uncertainty, data mining techniques for analyzing complex data bases, and powerful algorithms for complex optimization problems. Computational intelligence has also evolved rapidly over the past few years and it is now one of the most active fields in operations research and computer science. This volume presents the recent advances of the use of computation intelligence in financial decision making. The book covers all the major areas of computational intelligence and a wide range of problems in finance, such as portfolio optimization, credit risk analysis, asset valuation, financial forecasting, and trading.

New Perspectives on Enterprise Decision-Making Applying Artificial Intelligence Techniques

Author : Julian Andres Zapata-Cortes,Giner Alor-Hernández,Cuauhtémoc Sánchez-Ramírez,Jorge Luis García-Alcaraz
Publisher : Springer Nature
Page : 529 pages
File Size : 48,7 Mb
Release : 2021-06-07
Category : Technology & Engineering
ISBN : 9783030711153

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New Perspectives on Enterprise Decision-Making Applying Artificial Intelligence Techniques by Julian Andres Zapata-Cortes,Giner Alor-Hernández,Cuauhtémoc Sánchez-Ramírez,Jorge Luis García-Alcaraz Pdf

This book presents different techniques and methodologies that used to help improve the decision-making process and increase the likelihood of success in sector as follows: agriculture, financial services, logistics, energy services, health and others. This book collects and consolidates innovative and high-quality research contributions regarding the implementation techniques and methodologies applied in different industrial sectors. The scope is to disseminate current trends knowledge in the implementation of artificial intelligence techniques and methodologies in different fields as follows: supply chain, business intelligence, e-commerce, social media and others. The book contents are useful for Ph.D., Ph.D. students, master and undergraduate students, and professional and students in industrial engineering, computer science, information systems, data analytics and others.

Cognitive Computing for Big Data Systems Over IoT

Author : Arun Kumar Sangaiah,Arunkumar Thangavelu,Venkatesan Meenakshi Sundaram
Publisher : Springer
Page : 375 pages
File Size : 51,5 Mb
Release : 2017-12-30
Category : Technology & Engineering
ISBN : 9783319706887

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Cognitive Computing for Big Data Systems Over IoT by Arun Kumar Sangaiah,Arunkumar Thangavelu,Venkatesan Meenakshi Sundaram Pdf

This book brings a high level of fluidity to analytics and addresses recent trends, innovative ideas, challenges and cognitive computing solutions in big data and the Internet of Things (IoT). It explores domain knowledge, data science reasoning and cognitive methods in the context of the IoT, extending current data science approaches by incorporating insights from experts as well as a notion of artificial intelligence, and performing inferences on the knowledge The book provides a comprehensive overview of the constituent paradigms underlying cognitive computing methods, which illustrate the increased focus on big data in IoT problems as they evolve. It includes novel, in-depth fundamental research contributions from a methodological/application in data science accomplishing sustainable solution for the future perspective. Mainly focusing on the design of the best cognitive embedded data science technologies to process and analyze the large amount of data collected through the IoT, and aid better decision making, the book discusses adapting decision-making approaches under cognitive computing paradigms to demonstrate how the proposed procedures as well as big data and IoT problems can be handled in practice. This book is a valuable resource for scientists, professionals, researchers, and academicians dealing with the new challenges and advances in the specific areas of cognitive computing and data science approaches.

Computational Intelligence

Author : Anupam Shukla,B. K. Murthy,Nitasha Hasteer,Jean-Paul Van Belle
Publisher : Springer Nature
Page : 818 pages
File Size : 44,9 Mb
Release : 2023-02-15
Category : Technology & Engineering
ISBN : 9789811973468

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Computational Intelligence by Anupam Shukla,B. K. Murthy,Nitasha Hasteer,Jean-Paul Van Belle Pdf

The book constitutes the peer-reviewed proceedings of the 2nd International Conference on Information Technology (InCITe-2022): The Next Generation Technology Summit. The theme of the conference is Computational Intelligence: Automate your World. The volume is a conglomeration of research papers covering interdisciplinary research and in-depth applications of computational intelligence, deep learning, machine learning, artificial intelligence, data science, enabling technologies for IoT, blockchain, and other futuristic computational technologies. The volume covers various topics that span cutting-edge, collaborative technologies and areas of computation. The content would serve as a rich knowledge repository on information & communication technologies, neural networks, fuzzy systems, natural language processing, data mining & warehousing, big data analytics, cloud computing, security, social networks and intelligence, decision making, and modeling, information systems, and IT architectures. The book will be useful to researchers, practitioners, and policymakers working in information technology.

Constraint Decision-Making Systems in Engineering

Author : Das, Santosh Kumar,Dey, Nilanjan
Publisher : IGI Global
Page : 333 pages
File Size : 49,6 Mb
Release : 2023-01-06
Category : Business & Economics
ISBN : 9781668473450

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Constraint Decision-Making Systems in Engineering by Das, Santosh Kumar,Dey, Nilanjan Pdf

In recent years, most applications deal with constraint decision-making systems as problems are based on imprecise information and parameters. It is difficult to understand the nature of data based on applications and it requires a specific model for understanding the nature of the system. Further research on constraint decision-making systems in engineering is required. Constraint Decision-Making Systems in Engineering derives and explores several types of constraint decisions in engineering and focuses on new and innovative conclusions based on problems, robust and efficient systems, and linear and non-linear applications. Covering topics such as fault detection, data mining techniques, and knowledge-based management, this premier reference source is an essential resource for engineers, managers, computer scientists, students and educators of higher education, librarians, researchers, and academicians.

Proceedings of Fourth Doctoral Symposium on Computational Intelligence

Author : Abhishek Swaroop,Vineet Kansal,Giancarlo Fortino,Aboul Ella Hassanien
Publisher : Springer Nature
Page : 937 pages
File Size : 50,8 Mb
Release : 2023-09-16
Category : Technology & Engineering
ISBN : 9789819937165

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Proceedings of Fourth Doctoral Symposium on Computational Intelligence by Abhishek Swaroop,Vineet Kansal,Giancarlo Fortino,Aboul Ella Hassanien Pdf

This book features high-quality research papers presented at Fourth Doctoral Symposium on Computational Intelligence (DoSCI 2023), organized by Institute of Engineering and Technology (IET), AKTU, Lucknow, India, on March 3, 2023. This book discusses the topics such as computational intelligence, artificial intelligence, deep learning, evolutionary algorithms, swarm intelligence, fuzzy sets and vague sets, rough set theoretic approaches, quantum-inspired computational intelligence, hybrid computational intelligence, machine learning, computer vision, soft computing, distributed computing, parallel and grid computing, cloud computing, high-performance computing, biomedical computing, and decision support and decision making