Author: Yonghong Zhang
Publisher: Springer Nature
ISBN: 9819992478
Category : Technology & Engineering
Languages : en
Pages : 491
Book Description
This book aims to examine innovation in the fields of computer engineering and networking. The text covers important developments in areas such as artificial intelligence, machine learning, information analysis, communication system, computer modeling, internet of things. This book presents papers from the 13th International Conference on Computer Engineering and Networks (CENet2023) held in Wuxi, China on November 3-5, 2023.
Proceedings of the 13th International Conference on Computer Engineering and Networks
Author: Yonghong Zhang
Publisher: Springer Nature
ISBN: 9819992478
Category : Technology & Engineering
Languages : en
Pages : 491
Book Description
This book aims to examine innovation in the fields of computer engineering and networking. The text covers important developments in areas such as artificial intelligence, machine learning, information analysis, communication system, computer modeling, internet of things. This book presents papers from the 13th International Conference on Computer Engineering and Networks (CENet2023) held in Wuxi, China on November 3-5, 2023.
Publisher: Springer Nature
ISBN: 9819992478
Category : Technology & Engineering
Languages : en
Pages : 491
Book Description
This book aims to examine innovation in the fields of computer engineering and networking. The text covers important developments in areas such as artificial intelligence, machine learning, information analysis, communication system, computer modeling, internet of things. This book presents papers from the 13th International Conference on Computer Engineering and Networks (CENet2023) held in Wuxi, China on November 3-5, 2023.
Data Mining and Machine Learning Applications
Author: Rohit Raja
Publisher: John Wiley & Sons
ISBN: 1119791782
Category : Computers
Languages : en
Pages : 500
Book Description
DATA MINING AND MACHINE LEARNING APPLICATIONS The book elaborates in detail on the current needs of data mining and machine learning and promotes mutual understanding among research in different disciplines, thus facilitating research development and collaboration. Data, the latest currency of today’s world, is the new gold. In this new form of gold, the most beautiful jewels are data analytics and machine learning. Data mining and machine learning are considered interdisciplinary fields. Data mining is a subset of data analytics and machine learning involves the use of algorithms that automatically improve through experience based on data. Massive datasets can be classified and clustered to obtain accurate results. The most common technologies used include classification and clustering methods. Accuracy and error rates are calculated for regression and classification and clustering to find actual results through algorithms like support vector machines and neural networks with forward and backward propagation. Applications include fraud detection, image processing, medical diagnosis, weather prediction, e-commerce and so forth. The book features: A review of the state-of-the-art in data mining and machine learning, A review and description of the learning methods in human-computer interaction, Implementation strategies and future research directions used to meet the design and application requirements of several modern and real-time applications for a long time, The scope and implementation of a majority of data mining and machine learning strategies. A discussion of real-time problems. Audience Industry and academic researchers, scientists, and engineers in information technology, data science and machine and deep learning, as well as artificial intelligence more broadly.
Publisher: John Wiley & Sons
ISBN: 1119791782
Category : Computers
Languages : en
Pages : 500
Book Description
DATA MINING AND MACHINE LEARNING APPLICATIONS The book elaborates in detail on the current needs of data mining and machine learning and promotes mutual understanding among research in different disciplines, thus facilitating research development and collaboration. Data, the latest currency of today’s world, is the new gold. In this new form of gold, the most beautiful jewels are data analytics and machine learning. Data mining and machine learning are considered interdisciplinary fields. Data mining is a subset of data analytics and machine learning involves the use of algorithms that automatically improve through experience based on data. Massive datasets can be classified and clustered to obtain accurate results. The most common technologies used include classification and clustering methods. Accuracy and error rates are calculated for regression and classification and clustering to find actual results through algorithms like support vector machines and neural networks with forward and backward propagation. Applications include fraud detection, image processing, medical diagnosis, weather prediction, e-commerce and so forth. The book features: A review of the state-of-the-art in data mining and machine learning, A review and description of the learning methods in human-computer interaction, Implementation strategies and future research directions used to meet the design and application requirements of several modern and real-time applications for a long time, The scope and implementation of a majority of data mining and machine learning strategies. A discussion of real-time problems. Audience Industry and academic researchers, scientists, and engineers in information technology, data science and machine and deep learning, as well as artificial intelligence more broadly.
Emerging Technologies in Data Mining and Information Security
Author: João Manuel R. S. Tavares
Publisher: Springer Nature
ISBN: 981159774X
Category : Technology & Engineering
Languages : en
Pages : 994
Book Description
This book features research papers presented at the International Conference on Emerging Technologies in Data Mining and Information Security (IEMIS 2020) held at the University of Engineering & Management, Kolkata, India, during July 2020. The book is organized in three volumes and includes high-quality research work by academicians and industrial experts in the field of computing and communication, including full-length papers, research-in-progress papers, and case studies related to all the areas of data mining, machine learning, Internet of things (IoT), and information security.
Publisher: Springer Nature
ISBN: 981159774X
Category : Technology & Engineering
Languages : en
Pages : 994
Book Description
This book features research papers presented at the International Conference on Emerging Technologies in Data Mining and Information Security (IEMIS 2020) held at the University of Engineering & Management, Kolkata, India, during July 2020. The book is organized in three volumes and includes high-quality research work by academicians and industrial experts in the field of computing and communication, including full-length papers, research-in-progress papers, and case studies related to all the areas of data mining, machine learning, Internet of things (IoT), and information security.
Proceedings of the 2nd International Conference on Innovation in Information Technology and Business (ICIITB 2024)
Author: Nebojsa Bacanin
Publisher: Springer Nature
ISBN: 9464634820
Category : Electronic books
Languages : en
Pages : 194
Book Description
Publisher: Springer Nature
ISBN: 9464634820
Category : Electronic books
Languages : en
Pages : 194
Book Description
Proceedings of the Fifth International Conference on Trends in Computational and Cognitive Engineering
Author: M. Shamim Kaiser
Publisher: Springer Nature
ISBN: 9819719232
Category :
Languages : en
Pages : 651
Book Description
Publisher: Springer Nature
ISBN: 9819719232
Category :
Languages : en
Pages : 651
Book Description
Advanced Information Networking and Applications
Author: Leonard Barolli
Publisher: Springer Nature
ISBN: 3031578708
Category :
Languages : en
Pages : 486
Book Description
Publisher: Springer Nature
ISBN: 3031578708
Category :
Languages : en
Pages : 486
Book Description
International Conference on Intelligent and Smart Computing in Data Analytics
Author: Siddhartha Bhattacharyya
Publisher: Springer Nature
ISBN: 981336176X
Category : Technology & Engineering
Languages : en
Pages : 301
Book Description
This book is a collection of best selected research papers presented at International Conference on Intelligent and Smart Computing in Data Analytics (ISCDA 2020), held at K L University, Guntur, Andhra Pradesh, India. The primary focus is to address issues and developments in advanced computing, intelligent models and applications, smart technologies and applications. It includes topics such as artificial intelligence and machine learning, pattern recognition and analysis, computational intelligence, signal and image processing, bioinformatics, ubiquitous computing, genetic fuzzy systems, hybrid evolutionary algorithms, nature-inspired smart hybrid systems, Internet of things, industrial IoT, health informatics, human–computer interaction and social network analysis. The book presents innovative work by leading academics, researchers and experts from industry.
Publisher: Springer Nature
ISBN: 981336176X
Category : Technology & Engineering
Languages : en
Pages : 301
Book Description
This book is a collection of best selected research papers presented at International Conference on Intelligent and Smart Computing in Data Analytics (ISCDA 2020), held at K L University, Guntur, Andhra Pradesh, India. The primary focus is to address issues and developments in advanced computing, intelligent models and applications, smart technologies and applications. It includes topics such as artificial intelligence and machine learning, pattern recognition and analysis, computational intelligence, signal and image processing, bioinformatics, ubiquitous computing, genetic fuzzy systems, hybrid evolutionary algorithms, nature-inspired smart hybrid systems, Internet of things, industrial IoT, health informatics, human–computer interaction and social network analysis. The book presents innovative work by leading academics, researchers and experts from industry.
Intelligent Computing
Author: Kohei Arai
Publisher: Springer Nature
ISBN: 3031622774
Category : Artificial intelligence
Languages : en
Pages : 684
Book Description
Explore the forefront of computing with the proceedings of the Computing Conference 2024. Featuring 165 carefully selected papers from a pool of 457 submissions, this collection encapsulates the cutting-edge research and innovation presented during the conference. Delve into a diverse range of topics, insights, and methodologies that shape the future of computing. Whether you're an academic, researcher, or enthusiast, this concise volume offers a snapshot of the dynamic and collaborative spirit defining the Computing Conference 2024.
Publisher: Springer Nature
ISBN: 3031622774
Category : Artificial intelligence
Languages : en
Pages : 684
Book Description
Explore the forefront of computing with the proceedings of the Computing Conference 2024. Featuring 165 carefully selected papers from a pool of 457 submissions, this collection encapsulates the cutting-edge research and innovation presented during the conference. Delve into a diverse range of topics, insights, and methodologies that shape the future of computing. Whether you're an academic, researcher, or enthusiast, this concise volume offers a snapshot of the dynamic and collaborative spirit defining the Computing Conference 2024.
Intelligent Systems and Applications
Author: Kohei Arai
Publisher: Springer Nature
ISBN: 3031663292
Category :
Languages : en
Pages : 727
Book Description
Publisher: Springer Nature
ISBN: 3031663292
Category :
Languages : en
Pages : 727
Book Description
Intelligent Technologies
Author: Himansu Das
Publisher: Springer Nature
ISBN: 9819752043
Category :
Languages : en
Pages : 210
Book Description
Publisher: Springer Nature
ISBN: 9819752043
Category :
Languages : en
Pages : 210
Book Description