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Data Science And Computational Intelligence


Data Science And Computational Intelligence
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Data Science And Computational Intelligence


Data Science And Computational Intelligence
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Author : K. R. Venugopal
language : en
Publisher: Springer
Release Date : 2021-12-07

Data Science And Computational Intelligence written by K. R. Venugopal and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-12-07 with Computers categories.


This book constitutes revised and selected papers from the Sixteenth International Conference on Information Processing, ICInPro 2021, held in Bangaluru, India in October 2021. The 33 full and 9 short papers presented in this volume were carefully reviewed and selected from a total of 177 submissions. The papers are organized in the following thematic blocks: ​Computing & Network Security; Data Science; Intelligence & IoT.



Computational Intelligence In Data Mining


Computational Intelligence In Data Mining
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Author : Himansu Sekhar Behera
language : en
Publisher: Springer
Release Date : 2019-08-17

Computational Intelligence In Data Mining written by Himansu Sekhar Behera and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-08-17 with Technology & Engineering categories.


This proceeding discuss the latest solutions, scientific findings and methods for solving intriguing problems in the fields of data mining, computational intelligence, big data analytics, and soft computing. This gathers outstanding papers from the fifth International Conference on “Computational Intelligence in Data Mining” (ICCIDM), and offer a “sneak preview” of the strengths and weaknesses of trending applications, together with exciting advances in computational intelligence, data mining, and related fields.



Enabling Ai Applications In Data Science


Enabling Ai Applications In Data Science
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Author : Aboul-Ella Hassanien
language : en
Publisher: Springer Nature
Release Date : 2020-09-23

Enabling Ai Applications In Data Science written by Aboul-Ella Hassanien and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-09-23 with Computers categories.


This book provides a detailed overview of the latest developments and applications in the field of artificial intelligence and data science. AI applications have achieved great accuracy and performance with the help of developments in data processing and storage. It has also gained strength through the amount and quality of data which is the main nucleus of data science. This book aims to provide the latest research findings in the field of artificial intelligence with data science.



Computational Intelligence And Big Data Analytics


Computational Intelligence And Big Data Analytics
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Author : Ch. Satyanarayana
language : en
Publisher: Springer
Release Date : 2018-09-22

Computational Intelligence And Big Data Analytics written by Ch. Satyanarayana and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-09-22 with Computers categories.


This book highlights major issues related to big data analysis using computational intelligence techniques, mostly interdisciplinary in nature. It comprises chapters on computational intelligence technologies, such as neural networks and learning algorithms, evolutionary computation, fuzzy systems and other emerging techniques in data science and big data, ranging from methodologies, theory and algorithms for handling big data, to their applications in bioinformatics and related disciplines. The book describes the latest solutions, scientific results and methods in solving intriguing problems in the fields of big data analytics, intelligent agents and computational intelligence. It reflects the state of the art research in the field and novel applications of new processing techniques in computer science. This book is useful to both doctoral students and researchers from computer science and engineering fields and bioinformatics related domains.



Computational Intelligence In Data Science


Computational Intelligence In Data Science
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Author : Vallidevi Krishnamurthy
language : en
Publisher: Springer Nature
Release Date : 2021-12-11

Computational Intelligence In Data Science written by Vallidevi Krishnamurthy and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-12-11 with Computers categories.


This book constitutes the refereed post-conference proceedings of the Fourth IFIP TC 12 International Conference on Computational Intelligence in Data Science, ICCIDS 2021, held in Chennai, India, in March 2021. The 20 revised full papers presented were carefully reviewed and selected from 75 submissions. The papers cover topics such as computational intelligence for text analysis; computational intelligence for image and video analysis; blockchain and data science.



Applying Data Science


Applying Data Science
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Author : Arthur K. Kordon
language : en
Publisher: Springer
Release Date : 2021-09-14

Applying Data Science written by Arthur K. Kordon and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-09-14 with Computers categories.


This book offers practical guidelines on creating value from the application of data science based on selected artificial intelligence methods. In Part I, the author introduces a problem-driven approach to implementing AI-based data science and offers practical explanations of key technologies: machine learning, deep learning, decision trees and random forests, evolutionary computation, swarm intelligence, and intelligent agents. In Part II, he describes the main steps in creating AI-based data science solutions for business problems, including problem knowledge acquisition, data preparation, data analysis, model development, and model deployment lifecycle. Finally, in Part III the author illustrates the power of AI-based data science with successful applications in manufacturing and business. He also shows how to introduce this technology in a business setting and guides the reader on how to build the appropriate infrastructure and develop the required skillsets. The book is ideal for data scientists who will implement the proposed methodology and techniques in their projects. It is also intended to help business leaders and entrepreneurs who want to create competitive advantage by using AI-based data science, as well as academics and students looking for an industrial view of this discipline.



Computational Intelligence


Computational Intelligence
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Author : Rudolf Kruse
language : en
Publisher: Springer
Release Date : 2016-09-16

Computational Intelligence written by Rudolf Kruse and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016-09-16 with Computers categories.


This textbook provides a clear and logical introduction to the field, covering the fundamental concepts, algorithms and practical implementations behind efforts to develop systems that exhibit intelligent behavior in complex environments. This enhanced second edition has been fully revised and expanded with new content on swarm intelligence, deep learning, fuzzy data analysis, and discrete decision graphs. Features: provides supplementary material at an associated website; contains numerous classroom-tested examples and definitions throughout the text; presents useful insights into all that is necessary for the successful application of computational intelligence methods; explains the theoretical background underpinning proposed solutions to common problems; discusses in great detail the classical areas of artificial neural networks, fuzzy systems and evolutionary algorithms; reviews the latest developments in the field, covering such topics as ant colony optimization and probabilistic graphical models.



Illustrated Computational Intelligence


Illustrated Computational Intelligence
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Author : Priti Srinivas Sajja
language : en
Publisher: Springer Nature
Release Date : 2020-11-16

Illustrated Computational Intelligence written by Priti Srinivas Sajja and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-11-16 with Technology & Engineering categories.


This book presents a summary of artificial intelligence and machine learning techniques in its first two chapters. The remaining chapters of the book provide everything one must know about the basic artificial intelligence to modern machine intelligence techniques including the hybrid computational intelligence technique, using the concepts of several real-life solved examples, design of projects and research ideas. The solved examples with more than 200 illustrations presented in the book are a great help to instructors, students, non–AI professionals, and researchers. Each example is discussed in detail with encoding, normalization, architecture, detailed design, process flow, and sample input/output. Summary of the fundamental concepts with solved examples is a unique combination and highlight of this book.



Applications Of Computational Science In Artificial Intelligence


Applications Of Computational Science In Artificial Intelligence
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Author : Anand Nayyar
language : en
Publisher: Engineering Science Reference
Release Date : 2022

Applications Of Computational Science In Artificial Intelligence written by Anand Nayyar and has been published by Engineering Science Reference this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022 with Artificial intelligence categories.


Delivers technological solutions to improve smart technologies architecture, healthcare, and environmental sustainability. The book also provides background on key aspects such as computational solutions, computation framework, smart prediction, and healthcare solutions.



Cognitive Science Computational Intelligence And Data Analytics


Cognitive Science Computational Intelligence And Data Analytics
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Author : Vikas Khare
language : en
Publisher: Elsevier
Release Date : 2024-06-06

Cognitive Science Computational Intelligence And Data Analytics written by Vikas Khare and has been published by Elsevier this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-06-06 with Computers categories.


Cognitive Science, Computational Intelligence, and Data Analytics: Methods and Applications with Python introduces readers to the foundational concepts of data analysis, cognitive science, and computational intelligence, including AI and Machine Learning. The book's focus is on fundamental ideas, procedures, and computational intelligence tools that can be applied to a wide range of data analysis approaches, with applications that include mathematical programming, evolutionary simulation, machine learning, and logic-based models. It offers readers the fundamental and practical aspects of cognitive science and data analysis, exploring data analytics in terms of description, evolution, and applicability in real-life problems.The authors cover the history and evolution of cognitive analytics, methodological concerns in philosophy, syntax and semantics, understanding of generative linguistics, theory of memory and processing theory, structured and unstructured data, qualitative and quantitative data, measurement of variables, nominal, ordinals, intervals, and ratio scale data. The content in this book is tailored to the reader's needs in terms of both type and fundamentals, including coverage of multivariate analysis, CRISP methodology and SEMMA methodology. Each chapter provides practical, hands-on learning with real-world applications, including case studies and Python programs related to the key concepts being presented. - Demystifies the theory of data analytics using a step-by-step approach - Covers the intersection of cognitive science, computational intelligence, and data analytics by providing examples and case studies with applied algorithms, mathematics, and Python programming code - Introduces foundational data analytics techniques such as CRISP-DM, SEMMA, and Object Detection Models in the context of computational intelligence methods and tools - Covers key concepts of multivariate and cognitive data analytics such as factor analytics, principal component analytics, linear regression analysis, logistic regression analysis, and value chain applications