Machine Learning And Big Data Analytics Proceedings Of International Conference On Machine Learning And Big Data Analytics Icmlbda 2021

Author : Rajiv Misra,Rudrapatna K. Shyamasundar,Amrita Chaturvedi,Rana Omer
Publisher : Unknown
Page : 0 pages
File Size : 51,8 Mb
Release : 2022
Category : Electronic
ISBN : 3030824705

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Machine Learning and Big Data Analytics (Proceedings of International Conference on Machine Learning and Big Data Analytics (ICMLBDA) 2021) by Rajiv Misra,Rudrapatna K. Shyamasundar,Amrita Chaturvedi,Rana Omer Pdf

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.

Author : Rajiv Misra,Rudrapatna K. Shyamasundar,Amrita Chaturvedi,Rana Omer
Publisher : Springer Nature
Page : 362 pages
File Size : 50,7 Mb
Release : 2021-09-29
Category : Computers
ISBN : 9783030824693

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Machine Learning and Big Data Analytics (Proceedings of International Conference on Machine Learning and Big Data Analytics (ICMLBDA) 2021) by Rajiv Misra,Rudrapatna K. Shyamasundar,Amrita Chaturvedi,Rana Omer Pdf

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.

Author : Rajiv Misra,Rana Omer,Muttukrishnan Rajarajan,Bharadwaj Veeravalli,Nishtha Kesswani,Priyanka Mishra
Publisher : Springer Nature
Page : 552 pages
File Size : 49,5 Mb
Release : 2023-06-06
Category : Mathematics
ISBN : 9783031151750

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Machine Learning and Big Data Analytics by Rajiv Misra,Rana Omer,Muttukrishnan Rajarajan,Bharadwaj Veeravalli,Nishtha Kesswani,Priyanka Mishra Pdf

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.

Author : Prodipto Das
Publisher : Springer Nature
Page : 297 pages
File Size : 52,7 Mb
Release : 2024-06-28
Category : Electronic
ISBN : 9783031472244

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Advanced Computing, Machine Learning, Robotics and Internet Technologies by Prodipto Das Pdf

Author : Rajiv Misra,Rana Omer,Muttukrishnan Rajarajan,Bharadwaj Veeravalli,Nishtha Kesswani,Priyanka Mishra
Publisher : Unknown
Page : 0 pages
File Size : 44,6 Mb
Release : 2023
Category : Electronic
ISBN : 3031151771

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Machine Learning and Big Data Analytics by Rajiv Misra,Rana Omer,Muttukrishnan Rajarajan,Bharadwaj Veeravalli,Nishtha Kesswani,Priyanka Mishra Pdf

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.

Author : Khang, Alex
Publisher : IGI Global
Page : 393 pages
File Size : 55,5 Mb
Release : 2024-02-09
Category : Medical
ISBN : 9798369332191

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AI-Driven Innovations in Digital Healthcare: Emerging Trends, Challenges, and Applications by Khang, Alex Pdf

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.

Author : Matteo Golfarelli,Robert Wrembel,Gabriele Kotsis,A Min Tjoa,Ismail Khalil
Publisher : Springer Nature
Page : 283 pages
File Size : 41,7 Mb
Release : 2021-09-04
Category : Computers
ISBN : 9783030865344

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Big Data Analytics and Knowledge Discovery by Matteo Golfarelli,Robert Wrembel,Gabriele Kotsis,A Min Tjoa,Ismail Khalil Pdf

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.

Author : Malaya Dutta Borah,Dolendro Singh Laiphrakpam,Nitin Auluck,Valentina Emilia Balas
Publisher : Springer Nature
Page : 758 pages
File Size : 41,5 Mb
Release : 2024-01-06
Category : Computers
ISBN : 9789819934812

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Big Data, Machine Learning, and Applications by Malaya Dutta Borah,Dolendro Singh Laiphrakpam,Nitin Auluck,Valentina Emilia Balas Pdf

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.

Author : Satish Narayana Srirama,Jerry Chun-Wei Lin,Raj Bhatnagar,Sonali Agarwal,P. Krishna Reddy
Publisher : Springer
Page : 0 pages
File Size : 45,6 Mb
Release : 2021-12-18
Category : Computers
ISBN : 3030936198

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Big Data Analytics by Satish Narayana Srirama,Jerry Chun-Wei Lin,Raj Bhatnagar,Sonali Agarwal,P. Krishna Reddy Pdf

This book constitutes the proceedings of the 8th International Conference on Big Data Analytics, BDA 2021, which took place during December 2021. Due to COVID-19 pandemic the conference was held virtually. The 16 full and 3 short papers included in this volume were carefully reviewed and selected from 41 submissions. The contributions were organized in topical sections named as follows: medical and health applications; machine/deep learning; IoTs, sensors, and networks; fundamentation; pattern mining and data analytics.

Author : R. Sujatha,S. L. Aarthy,R. Vettriselvan
Publisher : CRC Press
Page : 216 pages
File Size : 49,5 Mb
Release : 2021-09-22
Category : Technology & Engineering
ISBN : 9781000454536

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Integrating Deep Learning Algorithms to Overcome Challenges in Big Data Analytics by R. Sujatha,S. L. Aarthy,R. Vettriselvan Pdf

Data science revolves around two giants: Big Data analytics and Deep Learning. It is becoming challenging to handle and retrieve useful information due to how fast data is expanding. This book presents the technologies and tools to simplify and streamline the formation of Big Data as well as Deep Learning systems. This book discusses how Big Data and Deep Learning hold the potential to significantly increase data understanding and decision-making. It also covers numerous applications in healthcare, education, communication, media, and entertainment. Integrating Deep Learning Algorithms to Overcome Challenges in Big Data Analytics offers innovative platforms for integrating Big Data and Deep Learning and presents issues related to adequate data storage, semantic indexing, data tagging, and fast information retrieval. FEATURES Provides insight into the skill set that leverages one’s strength to act as a good data analyst Discusses how Big Data and Deep Learning hold the potential to significantly increase data understanding and help in decision-making Covers numerous potential applications in healthcare, education, communication, media, and entertainment Offers innovative platforms for integrating Big Data and Deep Learning Presents issues related to adequate data storage, semantic indexing, data tagging, and fast information retrieval from Big Data This book is aimed at industry professionals, academics, research scholars, system modelers, and simulation experts.

Author : Aboul Ella Hassanien,Ashraf Darwish
Publisher : Springer Nature
Page : 648 pages
File Size : 50,8 Mb
Release : 2020-12-14
Category : Computers
ISBN : 9783030593384

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Machine Learning and Big Data Analytics Paradigms: Analysis, Applications and Challenges by Aboul Ella Hassanien,Ashraf Darwish Pdf

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.

Author : P. Nagabhushan,D. S. Guru,B. H. Shekar,Y. H. Sharath Kumar
Publisher : Springer
Page : 454 pages
File Size : 51,8 Mb
Release : 2018-11-04
Category : Technology & Engineering
ISBN : 9789811325144

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Data Analytics and Learning by P. Nagabhushan,D. S. Guru,B. H. Shekar,Y. H. Sharath Kumar Pdf

This book presents new theories and working models in the area of data analytics and learning. The papers included in this volume were presented at the first International Conference on Data Analytics and Learning (DAL 2018), which was hosted by the Department of Studies in Computer Science, University of Mysore, India on 30–31 March 2018. The areas covered include pattern recognition, image processing, deep learning, computer vision, data analytics, machine learning, artificial intelligence, and intelligent systems. As such, the book offers a valuable resource for researchers and practitioners alike.

Author : Giuseppe Nicosia,Varun Ojha,Emanuele La Malfa,Gabriele La Malfa,Giorgio Jansen,Panos M. Pardalos,Giovanni Giuffrida,Renato Umeton
Publisher : Springer Nature
Page : 571 pages
File Size : 55,5 Mb
Release : 2022-02-01
Category : Computers
ISBN : 9783030954703

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Machine Learning, Optimization, and Data Science by Giuseppe Nicosia,Varun Ojha,Emanuele La Malfa,Gabriele La Malfa,Giorgio Jansen,Panos M. Pardalos,Giovanni Giuffrida,Renato Umeton Pdf

This two-volume set, LNCS 13163-13164, constitutes the refereed proceedings of the 7th International Conference on Machine Learning, Optimization, and Data Science, LOD 2021, together with the first edition of the Symposium on Artificial Intelligence and Neuroscience, ACAIN 2021. The total of 86 full papers presented in this two-volume post-conference proceedings set was carefully reviewed and selected from 215 submissions. These research articles were written by leading scientists in the fields of machine learning, artificial intelligence, reinforcement learning, computational optimization, neuroscience, and data science presenting a substantial array of ideas, technologies, algorithms, methods, and applications.​

Author : Muhammad Younas,Irfan Awan,Salima Benbernou
Publisher : Springer
Page : 223 pages
File Size : 46,5 Mb
Release : 2019-08-19
Category : Computers
ISBN : 9783030273552

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Big Data Innovations and Applications by Muhammad Younas,Irfan Awan,Salima Benbernou Pdf

This volume constitutes the refereed proceedings of the 5th International Conference on Big Data Innovations and Applications, Innovate-Data 2019, held in Istanbul, Turkey, in August 2019. The 15 revised full papers and 1 short paper presented in this volume were carefully reviewed and selected from 48 submissions. The papers are organized in topical sections on advances in big data systems; machine learning and data analytics; big data innovation and applications; security and risk analysis.

Author : Partha Pratim Roy,Arvind Agarwal,Tianrui Li,P. Krishna Reddy,R. Uday Kiran
Publisher : Springer Nature
Page : 282 pages
File Size : 42,9 Mb
Release : 2023-01-28
Category : Computers
ISBN : 9783031240942

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Big Data Analytics by Partha Pratim Roy,Arvind Agarwal,Tianrui Li,P. Krishna Reddy,R. Uday Kiran Pdf

This book constitutes the proceedings of the 10th International Conference on Big Data Analytics, BDA 2022, which took place in Hyderabad, India, in December 2022. The 7 full papers and 7 short papers presented in this volume were carefully reviewed and selected from 36 submissions. The book also contains 4 keynote talks in full-paper length. The papers are organized in the following topical sections: Big Data Analytics: Vision and Perspectives; Data Science: Architectures; Data Science: Applications; Graph Analytics; Pattern Mining; Predictive Analytics in Agriculture.