2020 5th IEEE International Conference on Big Data Analytics (ICBDA) PDF Download
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Author: IEEE Staff
Publisher:
ISBN: 9781728141121
Category :
Languages : en
Pages :
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Book Description
In recent years, Big Data has become a new ubiquitous term Big Data is transforming science, engineering, medicine, healthcare, finance, business, and ultimately society itself The 4th International Conference on Big Data Analysis (ICBDA 2019) provides a leading forum for disseminating the latest research in Big Data Research, Development, and Application ICBDA2020 is co sponsored by IEEE, Xi an Jiaotong Liverpool University, China and Xiamen University, China
Author: IEEE Staff
Publisher:
ISBN: 9781728141121
Category :
Languages : en
Pages :
Get Book
Book Description
In recent years, Big Data has become a new ubiquitous term Big Data is transforming science, engineering, medicine, healthcare, finance, business, and ultimately society itself The 4th International Conference on Big Data Analysis (ICBDA 2019) provides a leading forum for disseminating the latest research in Big Data Research, Development, and Application ICBDA2020 is co sponsored by IEEE, Xi an Jiaotong Liverpool University, China and Xiamen University, China
Author:
Publisher:
ISBN: 9781728141114
Category : Big data
Languages : en
Pages :
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Book Description
Author: IEEE Staff
Publisher:
ISBN: 9781728192475
Category :
Languages : en
Pages :
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Book Description
Big Data Conference Europe is a three day conference with technical talks in the fields of Big Data, High Load, Data Science, Machine Learning and AI Conference brings together developers, IT professionals and users to share their experience, discuss best practices, describe use cases and business applications related to their successes The event is designed to educate, inform and inspire organized by people who are passionate about Big Data and Data Exploration
Author: Mohamed Lazaar
Publisher: Springer Nature
ISBN: 3031079698
Category : Computers
Languages : en
Pages : 600
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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.
Author: Naim, Arshi
Publisher: IGI Global
ISBN: 1668465833
Category : Computers
Languages : en
Pages : 368
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Book Description
The modern business world faces many new challenges in preserving its confidentiality and data from online attackers. Further, it also faces a struggle with preventing fraud. These challenges threaten businesses internally and externally and can cause huge losses. It is essential for business leaders to be up to date on the current fraud prevention, confidentiality, and data security to protect their businesses. Fraud Prevention, Confidentiality, and Data Security for Modern Businesses provides examples and research on the security challenges, practices, and blueprints for todays data storage and analysis systems to protect against current and emerging attackers in the modern business world. It includes the organizational, strategic, and technological depth to design modern data security practices within any organization. Covering topics such as confidential communication, information security management, and social engineering, this premier reference source is an indispensable resource for business executives and leaders, entrepreneurs, IT managers, security specialists, students and educators of higher education, librarians, researchers, and academicians.
Author: Xiaofeng Meng
Publisher: Springer Nature
ISBN: 9819729661
Category :
Languages : en
Pages : 364
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Book Description
Author: Xiaofeng Meng
Publisher: Springer Nature
ISBN: 9811975329
Category : Computers
Languages : en
Pages : 398
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Book Description
This book constitutes refereed proceedings of the 7th China National Conference on Big Data and Social Computing, BDSC 2022, held in Hangzhou, China, from August 11-13, 2022 The 24 full papers and 2 short papers presented in this volume were carefully reviewed and selected from a total of 99 submissions. The papers in the volume are organised according to the following topical headings: urban computing and social governance; artificial intelligence and cognitive science; social network and group behavior; digital society and public security; digital government and public big data
Author: Su-Cheng Haw
Publisher: Springer Nature
ISBN: 9464630949
Category : Computers
Languages : en
Pages : 590
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Book Description
This is an open access book.The 2nd International Conference on Computer, Information Technology and Intelligent Computing (CITIC 2022) will be held on 25-27 July 2022 virtually. This conference is being co-organized by Faculty of Computing & Informatics (FCI) and Faculty of Information Science Technology (FIST), Multimedia University. CITIC 2022 aims to bring together leading academic scientists, researchers and research scholars to exchange and share their experiences and research results on all aspects of Frontiers in Computer, Information Technology and Intelligent Computing. It also provides a premier interdisciplinary platform for researchers, practitioners and educators to present and discuss the most recent innovations, trends, and concerns as well as practical challenges encountered and solutions adopted in the fields of Computer, Information Technology and Intelligent Computing. This is an open access book.
Author: Lobo, Victor
Publisher: IGI Global
ISBN: 1799894320
Category : Computers
Languages : en
Pages : 292
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Book Description
The growth of innovative cyber threats, many based on metamorphosing techniques, has led to security breaches and the exposure of critical information in sites that were thought to be impenetrable. The consequences of these hacking actions were, inevitably, privacy violation, data corruption, or information leaking. Machine learning and data mining techniques have significant applications in the domains of privacy protection and cybersecurity, including intrusion detection, authentication, and website defacement detection, that can help to combat these breaches. Applications of Machine Learning and Deep Learning for Privacy and Cybersecurity provides machine and deep learning methods for analysis and characterization of events regarding privacy and anomaly detection as well as for establishing predictive models for cyber attacks or privacy violations. It provides case studies of the use of these techniques and discusses the expected future developments on privacy and cybersecurity applications. Covering topics such as behavior-based authentication, machine learning attacks, and privacy preservation, this book is a crucial resource for IT specialists, computer engineers, industry professionals, privacy specialists, security professionals, consultants, researchers, academicians, and students and educators of higher education.
Author: Simon Fong
Publisher: Springer Nature
ISBN: 9811952248
Category : Technology & Engineering
Languages : en
Pages : 763
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Book Description
This book proposes new technologies and discusses future solutions for ICT design infrastructures, as reflected in high-quality papers presented at the 7th International Conference on ICT for Sustainable Development (ICT4SD 2022), held in Goa, India, on July 29–30, 2022. The book covers the topics such as big data and data mining, data fusion, IoT programming toolkits and frameworks, green communication systems and network, use of ICT in smart cities, sensor networks and embedded system, network and information security, wireless and optical networks, security, trust, and privacy, routing and control protocols, cognitive radio and networks, and natural language processing. Bringing together experts from different countries, the book explores a range of central issues from an international perspective.
