Advances In Distributed Computing And Machine Learning

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Advances In Distributed Computing And Machine Learning

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Author : Umakanta Nanda
language : en
Publisher: Springer Nature
Release Date : 2024-08-02

Advances In Distributed Computing And Machine Learning written by Umakanta Nanda and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-08-02 with Computers categories.

This book is a collection of peer-reviewed best selected research papers presented at the Fifth International Conference on Advances in Distributed Computing and Machine Learning (ICADCML 2024), organized by School of Electronics and Engineering, VIT - AP University, Amaravati, Andhra Pradesh, India, during 5–6 January 2024. This book presents recent innovations in the field of scalable distributed systems in addition to cutting edge research in the field of Internet of Things (IoT) and blockchain in distributed environments.

Advances In Distributed Computing And Machine Learning

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Author : Binayak Kar
language : en
Publisher: Springer Nature
Release Date : 2025-10-02

Advances In Distributed Computing And Machine Learning written by Binayak Kar and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-10-02 with Computers categories.

This book is a collection of peer-reviewed best selected research papers presented at the Sixth International Conference on Advances in Distributed Computing and Machine Learning (ICADCML 2025), organized by Dept. of Computer Science and Information Engineering, National Taiwan University of Science and Technology, Taiwan during January 9–10, 2025. This book presents recent innovations in the field of scalable distributed systems in addition to cutting-edge research in the field of Internet of Things (IoT) and blockchain in distributed environments. The work is presented in two volumes.

Advances In Distributed Computing And Machine Learning

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Author : Binayak Kar
language : en
Publisher: Springer
Release Date : 2025-08-03

Advances In Distributed Computing And Machine Learning written by Binayak Kar and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-08-03 with Computers categories.

This book is a collection of peer-reviewed best selected research papers presented at the Sixth International Conference on Advances in Distributed Computing and Machine Learning (ICADCML 2025), organized by Dept. of Computer Science and Information Engineering, National Taiwan University of Science and Technology, Taiwan during January 9–10, 2025. This book presents recent innovations in the field of scalable distributed systems in addition to cutting-edge research in the field of Internet of Things (IoT) and blockchain in distributed environments. The work is presented in two volumes.

Advances In Distributed Computing And Machine Learning

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Author : Suchismita Chinara
language : en
Publisher: Springer Nature
Release Date : 2023-06-27

Advances In Distributed Computing And Machine Learning written by Suchismita Chinara and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-06-27 with Technology & Engineering categories.

This book is a collection of peer-reviewed best selected research papers presented at the Fourth International Conference on Advances in Distributed Computing and Machine Learning (ICADCML 2023), organized by Department of Computer Science and Engineering, National Institute of Technology, Rourkela, Odisha, India, during 15–16 January 2023. This book presents recent innovations in the field of scalable distributed systems in addition to cutting edge research in the field of Internet of Things (IoT) and blockchain in distributed environments.

Advances In Distributed Computing And Machine Learning

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Author : Umakanta Nanda
language : en
Publisher: Springer Nature
Release Date : 2024-06-17

Advances In Distributed Computing And Machine Learning written by Umakanta Nanda and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-06-17 with Computers categories.

This book is a collection of peer-reviewed best selected research papers presented at the Fifth International Conference on Advances in Distributed Computing and Machine Learning (ICADCML 2024), organized by the School of Electronics and Engineering, VIT - AP University, Amaravati, Andhra Pradesh, India, during January 5–6, 2024. This book presents recent innovations in the field of scalable distributed systems in addition to cutting-edge research in the field of Internet of Things (IoT) and blockchain in distributed environments.

Advances In Distributed Computing And Machine Learning

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Author : Jyoti Prakash Sahoo
language : en
Publisher: Springer Nature
Release Date : 2022-01-01

Advances In Distributed Computing And Machine Learning written by Jyoti Prakash Sahoo and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-01-01 with Technology & Engineering categories.

This book presents recent advances in the field of scalable distributed computing including state-of-the-art research in the field of Cloud Computing, the Internet of Things (IoT), and Blockchain in distributed environments along with applications and findings in broad areas including Data Analytics, AI, and Machine Learning to address complex real-world problems. It features selected high-quality research papers from the 2nd International Conference on Advances in Distributed Computing and Machine Learning (ICADCML 2021), organized by the Department of Computer Science and Information Technology, Institute of Technical Education and Research(ITER), Siksha 'O' Anusandhan (Deemed to be University), Bhubaneswar, India.

Advances In Distributed Computing And Machine Learning

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Author : Asis Kumar Tripathy
language : en
Publisher: Springer Nature
Release Date : 2020-06-11

Advances In Distributed Computing And Machine Learning written by Asis Kumar Tripathy and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-06-11 with Technology & Engineering categories.

This book presents recent advances in the field of distributed computing and machine learning, along with cutting-edge research in the field of Internet of Things (IoT) and blockchain in distributed environments. It features selected high-quality research papers from the First International Conference on Advances in Distributed Computing and Machine Learning (ICADCML 2020), organized by the School of Information Technology and Engineering, VIT, Vellore, India, and held on 30–31 January 2020.

Advances In Distributed Computing And Machine Learning

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Author :
language : en
Publisher:
Release Date : 2021

Advances In Distributed Computing And Machine Learning written by and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021 with Electronic data processing categories.

This book presents recent advances in the field of distributed computing and machine learning, along with cutting-edge research in the field of Internet of Things (IoT) and blockchain in distributed environments. It features selected high-quality research papers from the First International Conference on Advances in Distributed Computing and Machine Learning (ICADCML 2020), organized by the School of Information Technology and Engineering, VIT, Vellore, India, and held on 30-31 January 2020.

Advances In Distributed Computing And Machine Learning

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Author : Rashmi Ranjan Rout
language : en
Publisher: Springer Nature
Release Date : 2022-07-27

Advances In Distributed Computing And Machine Learning written by Rashmi Ranjan Rout and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-07-27 with Technology & Engineering categories.

This book includes a collection of peer-reviewed best selected research papers presented at the Third International Conference on Advances in Distributed Computing and Machine Learning (ICADCML 2022), organized by Department of Computer Science and Engineering, National Institute of Technology, Warangal, Telangana, India, during 15–16 January 2022. This book presents recent innovations in the field of scalable distributed systems in addition to cutting edge research in the field of Internet of Things (IoT) and blockchain in distributed environments.

Advances In Distributed And Parallel Knowledge Discovery

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Author : Hillol Kargupta
language : en
Publisher: AAAI Press
Release Date : 2000

Advances In Distributed And Parallel Knowledge Discovery written by Hillol Kargupta and has been published by AAAI Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2000 with Computers categories.

This book presents introductions to DKD and PKD, extensive reviews of the field, and state-of-the-art techniques. Foreword by Vipin Kumar Knowledge discovery and data mining (KDD) deals with the problem of extracting interesting associations, classifiers, clusters, and other patterns from data. The emergence of network-based distributed computing environments has introduced an important new dimension to this problem--distributed sources of data. Traditional centralized KDD typically requires central aggregation of distributed data, which may not always be feasible because of limited network bandwidth, security concerns, scalability problems, and other practical issues. Distributed knowledge discovery (DKD) works with the merger of communication and computation by analyzing data in a distributed fashion. This technology is particularly useful for large heterogeneous distributed environments such as the Internet, intranets, mobile computing environments, and sensor-networks.When the data sets are large, scaling up the speed of the KDD process is crucial. Parallel knowledge discovery (PKD) techniques addresses this problem by using high-performance multiprocessor machines. This book presents introductions to DKD and PKD, extensive reviews of the field, and state-of-the-art techniques. Contributors Rakesh Agrawal, Khaled AlSabti, Stuart Bailey, Philip Chan, David Cheung, Vincent Cho, Joydeep Ghosh, Robert Grossman, Yi-ke Guo, John Hale, John Hall, Daryl Hershberger, Ching-Tien Ho, Erik Johnson, Chris Jones, Chandrika Kamath, Hillol Kargupta, Charles Lo, Balinder Malhi, Ron Musick, Vincent Ng, Byung-Hoon Park, Srinivasan Parthasarathy, Andreas Prodromidis, Foster Provost, Jian Pun, Ashok Ramu, Sanjay Ranka, Mahesh Sreenivas, Salvatore Stolfo, Ramesh Subramonian, Janjao Sutiwaraphun, Kagan Tummer, Andrei Turinsky, Beat Wüthrich, Mohammed Zaki, Joshua Zhang