Machine Learning And Big Data Analytics Proceedings Of International Conference On Machine Learning And Big Data Analytics Icmlbda 2021
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Machine Learning And Big Data Analytics Proceedings Of International Conference On Machine Learning And Big Data Analytics Icmlbda 2021
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Author : Rajiv Misra
language : en
Publisher:
Release Date : 2022
Machine Learning And Big Data Analytics Proceedings Of International Conference On Machine Learning And Big Data Analytics Icmlbda 2021 written by Rajiv Misra and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022 with categories.
This edited volume on machine learning and big data analytics (Proceedings of ICMLBDA 2021) is intended to be used as a reference book for researchers and practitioners in the disciplines of computer science, electronics and telecommunication, information science, and electrical engineering. Machine learning and Big data analytics represent a key ingredients in the industrial applications for new products and services. Big data analytics applies machine learning for predictions by examining large and varied data sets-i.e., big data-to uncover hidden patterns, unknown correlations, market trends, customer preferences, and other useful information that can help organizations make more informed business decisions.
Machine Learning And Big Data Analytics Proceedings Of International Conference On Machine Learning And Big Data Analytics Icmlbda 2021
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Author : Rajiv Misra
language : en
Publisher: Springer Nature
Release Date : 2021-09-29
Machine Learning And Big Data Analytics Proceedings Of International Conference On Machine Learning And Big Data Analytics Icmlbda 2021 written by Rajiv Misra and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-09-29 with Computers categories.
This edited volume on machine learning and big data analytics (Proceedings of ICMLBDA 2021) is intended to be used as a reference book for researchers and practitioners in the disciplines of computer science, electronics and telecommunication, information science, and electrical engineering. Machine learning and Big data analytics represent a key ingredients in the industrial applications for new products and services. Big data analytics applies machine learning for predictions by examining large and varied data sets—i.e., big data—to uncover hidden patterns, unknown correlations, market trends, customer preferences, and other useful information that can help organizations make more informed business decisions.
Machine Learning And Big Data Analytics
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Author : Rajiv Misra
language : en
Publisher:
Release Date : 2023
Machine Learning And Big Data Analytics written by Rajiv Misra and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023 with categories.
This edited volume on machine learning and big data analytics (Proceedings of ICMLBDA 2022) is intended to be used as a reference book for researchers and professionals to share their research and reports of new technologies and applications in Machine Learning and Big Data Analytics like biometric Recognition Systems, medical diagnosis, industries, telecommunications, AI Petri Nets Model-Based Diagnosis, gaming, stock trading, Intelligent Aerospace Systems, robot control, law, remote sensing and scientific discovery agents and multiagent systems; and natural language and Web intelligence. The intent of this book is to provide awareness of algorithms used for machine learning and big data in the advanced Scientific Technologies, provide a correlation of multidisciplinary areas and become a point of great interest for Data Scientists, systems architects, developers, new researchers and graduate level students. This volume provides cutting-edge research from around the globe on this field. Current status, trends, future directions, opportunities, etc. are discussed, making it friendly for beginners and young researchers.
Machine Learning And Big Data Analytics
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Author : Rajiv Misra
language : en
Publisher: Springer Nature
Release Date : 2023-06-06
Machine Learning And Big Data Analytics written by Rajiv Misra and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-06-06 with Mathematics categories.
This edited volume on machine learning and big data analytics (Proceedings of ICMLBDA 2022) is intended to be used as a reference book for researchers and professionals to share their research and reports of new technologies and applications in Machine Learning and Big Data Analytics like biometric Recognition Systems, medical diagnosis, industries, telecommunications, AI Petri Nets Model-Based Diagnosis, gaming, stock trading, Intelligent Aerospace Systems, robot control, law, remote sensing and scientific discovery agents and multiagent systems; and natural language and Web intelligence. The intent of this book is to provide awareness of algorithms used for machine learning and big data in the advanced Scientific Technologies, provide a correlation of multidisciplinary areas and become a point of great interest for Data Scientists, systems architects, developers, new researchers and graduate level students. This volume provides cutting-edge research from around the globe on this field. Current status, trends, future directions, opportunities, etc. are discussed, making it friendly for beginners and young researchers.
Advanced Computing Machine Learning Robotics And Internet Technologies
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Author : Prodipto Das
language : en
Publisher: Springer Nature
Release Date :
Advanced Computing Machine Learning Robotics And Internet Technologies written by Prodipto Das and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on with categories.
Ai Driven Innovations In Digital Healthcare Emerging Trends Challenges And Applications
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Author : Khang, Alex
language : en
Publisher: IGI Global
Release Date : 2024-02-09
Ai Driven Innovations In Digital Healthcare Emerging Trends Challenges And Applications written by Khang, Alex and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-02-09 with Medical categories.
Within the healthcare sector, a pressing need for transformative changes is growing. From chronic diseases to complex diagnostic procedures, the industry stands at the crossroads of technological innovation and a burgeoning demand for more efficient, precise interventions. Patient expectations are soaring, and the deluge of medical data is overwhelming traditional healthcare systems. It is within this challenging environment that AI-Driven Innovations in Digital Healthcare: Emerging Trends, Challenges, and Applications emerges as a beacon of insight and practical solutions. The traditional healthcare framework is struggling to keep pace with the diverse demands of patients and the ever-expanding volume of medical data. As diseases become more intricate, attempts to provide timely identification and precise treatment of ailments become increasingly elusive. The urgency for a paradigm shift in healthcare delivery is emphasized by the critical need for early interventions, particularly in disease prediction. This challenge necessitates a holistic approach that harnesses the power of artificial intelligence (AI) and innovative technologies to steer healthcare toward a more responsive and patient-centric future.
Big Data Analytics And Knowledge Discovery
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Author : Matteo Golfarelli
language : en
Publisher: Springer Nature
Release Date : 2021-09-04
Big Data Analytics And Knowledge Discovery written by Matteo Golfarelli and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-09-04 with Computers categories.
This volume LNCS 12925 constitutes the papers of the 23rd International Conference on Big Data Analytics and Knowledge Discovery, held in September 2021. Due to COVID-19 pandemic it was held virtually. The 12 full papers presented together with 15 short papers in this volume were carefully reviewed and selected from a total of 71 submissions. The papers reflect a wide range of topics in the field of data integration, data warehousing, data analytics, and recently big data analytics, in a broad sense. The main objectives of this event are to explore, disseminate, and exchange knowledge in these fields.
Big Data Machine Learning And Applications
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Author : Malaya Dutta Borah
language : en
Publisher: Springer Nature
Release Date : 2024-01-06
Big Data Machine Learning And Applications written by Malaya Dutta Borah and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-01-06 with Computers categories.
This book constitutes refereed proceedings of the Second International Conference on Big Data, Machine Learning, and Applications, BigDML 2021. The volume focuses on topics such as computing methodology; machine learning; artificial intelligence; information systems; security and privacy. This volume will benefit research scholars, academicians, and industrial people who work on data storage and machine learning.
Machine Learning And Big Data Analytics Paradigms Analysis Applications And Challenges
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Author : Aboul Ella Hassanien
language : en
Publisher: Springer Nature
Release Date : 2020-12-14
Machine Learning And Big Data Analytics Paradigms Analysis Applications And Challenges 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 2020-12-14 with Computers categories.
This book is intended to present the state of the art in research on machine learning and big data analytics. The accepted chapters covered many themes including artificial intelligence and data mining applications, machine learning and applications, deep learning technology for big data analytics, and modeling, simulation, and security with big data. It is a valuable resource for researchers in the area of big data analytics and its applications.
Advances In Machine Learning And Big Data Analytics I
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Author : Ashokkumar Patel
language : en
Publisher: Springer
Release Date : 2024-02-24
Advances In Machine Learning And Big Data Analytics I written by Ashokkumar Patel and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-02-24 with Mathematics categories.
This edited volume on machine learning and big data analytics (Proceedings of ICMLBDA 2023, that was held on May 29-30, 2023 by NERIST and NIT Arunachal Pradesh India) is intended to be used as a reference book for researchers and professionals to share their research and reports of new technologies and applications in Machine Learning and Big Data Analytics like biometric Recognition Systems, medical diagnosis, industries, telecommunications, AI Petri Nets Model-Based Diagnosis, gaming, stock trading, Intelligent Aerospace Systems, robot control, law, remote sensing and scientific discovery agents and multiagent systems; and natural language and Web intelligence. The intent of this book is to provide awareness of algorithms used for machine learning and big data in the advanced Scientific Technologies, provide a correlation of multidisciplinary areas and become a point of great interest for Data Scientists, systems architects, developers, new researchers and graduate level students. This volume provides cutting-edge research from around the globe on this field. Current status, trends, future directions, opportunities, etc. are discussed, making it friendly for beginners and young researchers.