Big Data, Machine Learning, and Applications

Big Data, Machine Learning, and Applications PDF Author: Malaya Dutta Borah
Publisher: Springer Nature
ISBN: 9819934818
Category : Computers
Languages : en
Pages : 758

Get Book Here

Book Description
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.

Big Data, Machine Learning, and Applications

Big Data, Machine Learning, and Applications PDF Author: Malaya Dutta Borah
Publisher: Springer Nature
ISBN: 9819934818
Category : Computers
Languages : en
Pages : 758

Get Book Here

Book Description
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.

Proceedings of International Conference on Big Data, Machine Learning and Applications

Proceedings of International Conference on Big Data, Machine Learning and Applications PDF Author: Ripon Patgiri
Publisher: Springer Nature
ISBN: 9813347880
Category : Technology & Engineering
Languages : en
Pages : 268

Get Book Here

Book Description
This book covers selected high-quality research papers presented at the International Conference on Big Data, Machine Learning, and Applications (BigDML 2019). It focuses on both theory and applications in the broad areas of big data and machine learning. It brings together the academia, researchers, developers and practitioners from scientific organizations and industry to share and disseminate recent research findings.

Proceedings of International Conference on Big Data, Machine Learning and their Applications

Proceedings of International Conference on Big Data, Machine Learning and their Applications PDF Author: Shailesh Tiwari
Publisher: Springer Nature
ISBN: 9811583773
Category : Technology & Engineering
Languages : en
Pages : 407

Get Book Here

Book Description
This book contains high-quality peer-reviewed papers of the International Conference on Big Data, Machine Learning and their Applications (ICBMA 2019) held at Motilal Nehru National Institute of Technology Allahabad, Prayagraj, India, during 29–31 May 2020. The book provides significant contributions in a structured way so that prospective readers can understand how these techniques are used in finding solutions to complex engineering problems. The book covers the areas of big data, machine learning, bio-inspired algorithms, artificial intelligence and their applications.

Big Data Analysis and Deep Learning Applications

Big Data Analysis and Deep Learning Applications PDF Author: Thi Thi Zin
Publisher: Springer
ISBN: 9811308691
Category : Technology & Engineering
Languages : en
Pages : 386

Get Book Here

Book Description
This book presents a compilation of selected papers from the first International Conference on Big Data Analysis and Deep Learning Applications (ICBDL 2018), and focuses on novel techniques in the fields of big data analysis, machine learning, system monitoring, image processing, conventional neural networks, communication, industrial information, and their applications. Readers will find insights to help them realize more efficient algorithms and systems used in real-life applications and contexts, making the book an essential reference guide for academic researchers, professionals, software engineers in the industry, and regulators of aviation authorities.

Proceedings of the 6th International Conference on Big Data and Internet of Things

Proceedings of the 6th International Conference on Big Data and Internet of Things PDF Author: Mohamed Lazaar
Publisher: Springer Nature
ISBN: 3031283872
Category : Computers
Languages : en
Pages : 607

Get Book Here

Book Description
This book is a collection of papers that were presented at the 6th International Conference on Big Data Cloud and Internet of Things, BDIoT 2022. The conference took place on October 25-27, 2022, Tangier, Morocco. The book consisted of 49 chapters, which correspond to the four major areas that are covered during the conference, namely Big Data & Cloud Computing, Cybersecurity, Machine Learning, Deep Learning, E-Learning, Internet of Things, Information System and Natural Language Processing. Every year BDIoT attracted researchers from all over the world, and this year was not an exception – the authors received 98 submissions from 7 countries. More importantly, there were participants from many countries, which indicates that the conference is truly gaining more and more international recognition as it brought together a vast number of specialists who represented the aforementioned fields and share information about their newest projects. Since the authors strived to make the conference presentations and proceedings of the highest quality possible, the authors only accepted papers that presented the results of various investigations directed to the discovery of new scientific knowledge in the area of Big Data, IoT and their applications. All the papers were reviewed and selected by the Program Committee, which comprised 96 reviewers from over 58 academic institutions. As usual, each submission was reviewed following a double process by at least two reviewers. When necessary, some of the papers were reviewed by three or four reviewers. Authors’ deepest thanks and appreciation go to all the reviewers for devoting their precious time to produce truly through reviews and feedback to the authors.

Big Data, Machine Learning, and Applications

Big Data, Machine Learning, and Applications PDF Author: Ripon Patgiri
Publisher: Springer
ISBN: 9783030626242
Category : Computers
Languages : en
Pages : 103

Get Book Here

Book Description
This book constitutes refereed proceedings of the First International First International Conference on Big Data, Machine Learning, and Applications, BigDML 2019, held in Silchar, India, in December. The 6 full papers and 3 short papers were carefully reviewed and selected from 152 submissions. The papers present research on such topics as computing methodology; machine learning; artificial intelligence; information systems; security and privacy.

Machine Learning and Big Data Analytics (Proceedings of International Conference on Machine Learning and Big Data Analytics (ICMLBDA) 2021)

Machine Learning and Big Data Analytics (Proceedings of International Conference on Machine Learning and Big Data Analytics (ICMLBDA) 2021) PDF Author: Rajiv Misra
Publisher: Springer Nature
ISBN: 3030824691
Category : Computers
Languages : en
Pages : 362

Get Book Here

Book Description
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.

Proceedings of the 5th International Conference on Big Data and Internet of Things

Proceedings of the 5th International Conference on Big Data and Internet of Things PDF Author: Mohamed Lazaar
Publisher: Springer Nature
ISBN: 3031079698
Category : Computers
Languages : en
Pages : 600

Get Book Here

Book Description
This book is a collection of papers in the research area of big data, cloud computing, cybersecurity, machine learning, deep learning, e-learning, Internet of Things, reinforcement learning, information system, social media and natural language processing. This book includes papers presented at the 5th International Conference on Big Data Cloud and Internet of Things, BDIoT 2021 during March 17–18, 2021, at ENSIAS, Mohammed V University in Rabat, Morocco.

Big Data, Machine Learning, and Applications

Big Data, Machine Learning, and Applications PDF Author: Ripon Patgiri
Publisher: Springer Nature
ISBN: 3030626253
Category : Computers
Languages : en
Pages : 103

Get Book Here

Book Description
This book constitutes refereed proceedings of the First International First International Conference on Big Data, Machine Learning, and Applications, BigDML 2019, held in Silchar, India, in December. The 6 full papers and 3 short papers were carefully reviewed and selected from 152 submissions. The papers present research on such topics as computing methodology; machine learning; artificial intelligence; information systems; security and privacy.

Proceedings of the International Conference on Artificial Intelligence and Computer Vision (AICV2021)

Proceedings of the International Conference on Artificial Intelligence and Computer Vision (AICV2021) PDF Author: Aboul Ella Hassanien
Publisher: Springer Nature
ISBN: 3030763463
Category : Technology & Engineering
Languages : en
Pages : 857

Get Book Here

Book Description
This book presents the 2nd International Conference on Artificial Intelligence and Computer Visions (AICV 2021) proceeding, which took place in Settat, Morocco, from June 28- to 30, 2021. AICV 2021 is organized by the Scientific Research Group in Egypt (SRGE) and the Computer, Networks, Mobility and Modeling Laboratory (IR2M), Hassan 1st University, Faculty of Sciences Techniques, Settat, Morocco. This international conference highlighted essential research and developments in the fields of artificial intelligence and computer visions. The book is divided into sections, covering the following topics: Deep Learning and Applications; Smart Grid, Internet of Things, and Mobil Applications; Machine Learning and Metaheuristics Optimization; Business Intelligence and Applications; Machine Vision, Robotics, and Speech Recognition; Advanced Machine Learning Technologies; Big Data, Digital Transformation, AI and Network Analysis; Cybersecurity; Feature Selection, Classification, and Applications.