2015 IEEE First International Conference on Big Data Computing Service and Applications (BigDataService) PDF Download
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Author: IEEE Staff
Publisher:
ISBN: 9781479981298
Category :
Languages : en
Pages :
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Book Description
This conference focuses on big data computing services and applications This international conference is established to address the needs for big data computing service researchers, domain specific researchers, government agencies, and practitioners The major objective is to provide a big platform for them to exchange innovation ideas and research results, and share application experiences and lessons The three major objectives of this conference include Big Data Innovation of big data computing and service models, theories, tools, solutions and technologies Big Data and Service Sharing in big data banks and resources, portals, platforms, and open sources, technology and tools Big Data Application in real world big data application service projects for major application domains, including energy and environment, medical and healthcare, library, social media and networking, and education
Author: IEEE Staff
Publisher:
ISBN: 9781479981298
Category :
Languages : en
Pages :
Get Book Here
Book Description
This conference focuses on big data computing services and applications This international conference is established to address the needs for big data computing service researchers, domain specific researchers, government agencies, and practitioners The major objective is to provide a big platform for them to exchange innovation ideas and research results, and share application experiences and lessons The three major objectives of this conference include Big Data Innovation of big data computing and service models, theories, tools, solutions and technologies Big Data and Service Sharing in big data banks and resources, portals, platforms, and open sources, technology and tools Big Data Application in real world big data application service projects for major application domains, including energy and environment, medical and healthcare, library, social media and networking, and education
Author:
Publisher:
ISBN: 9781479981281
Category : Big data
Languages : en
Pages :
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Book Description
Author: Yu Wang
Publisher: Springer
ISBN: 3319220470
Category : Computers
Languages : en
Pages : 517
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Book Description
This book constitutes the proceedings of the First International Conference on Big Data Computing and Communications, BigCom 2015, held in Taiyuan, China, in August 2015. The 41 papers presented in this volume were carefully reviewed and selected from 74 submissions. They were organized in topical sections named: wireless communication and networks; database and big data; smart phone and sensing application; security and privacy; architecture and applications; sensor networks and RFID; social networks and recommendation; signal processing and pattern recognition; and routing and resource management.
Author: Ching-Tien Ho
Publisher:
ISBN: 9781479999255
Category : Big data
Languages : en
Pages :
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Book Description
Author:
Publisher: INTERNATIONAL ASSOCIATION OF ENGINEERING & TECHNOLOGY FOR SKILL DEVELOPMENT
ISBN: 1534910794
Category :
Languages : en
Pages : 78
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Book Description
IAETSD
Author: Pethuru Raj
Publisher: CRC Press
ISBN: 1000057399
Category : Computers
Languages : en
Pages : 328
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Book Description
This book comprehensively conveys the theoretical and practical aspects of IoT and big data analytics with the solid contributions from practitioners as well as academicians. This book examines and expounds the unique capabilities of the big data analytics platforms in capturing, cleansing and crunching IoT device/sensor data in order to extricate actionable insights. A number of experimental case studies and real-world scenarios are incorporated in this book in order to instigate our book readers. This book Analyzes current research and development in the domains of IoT and big data analytics Gives an overview of latest trends and transitions happening in the IoT data analytics space Illustrates the various platforms, processes, patterns, and practices for simplifying and streamlining IoT data analytics The Internet of Things and Big Data Analytics: Integrated Platforms and Industry Use Cases examines and accentuates how the multiple challenges at the cusp of IoT and big data can be fully met. The device ecosystem is growing steadily. It is forecast that there will be billions of connected devices in the years to come. When these IoT devices, resource-constrained as well as resource-intensive, interact with one another locally and remotely, the amount of multi-structured data generated, collected, and stored is bound to grow exponentially. Another prominent trend is the integration of IoT devices with cloud-based applications, services, infrastructures, middleware solutions, and databases. This book examines the pioneering technologies and tools emerging and evolving in order to collect, pre-process, store, process and analyze data heaps in order to disentangle actionable insights.
Author: Onur Savas
Publisher: CRC Press
ISBN: 1498772161
Category : Business & Economics
Languages : en
Pages : 336
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Book Description
Big data is presenting challenges to cybersecurity. For an example, the Internet of Things (IoT) will reportedly soon generate a staggering 400 zettabytes (ZB) of data a year. Self-driving cars are predicted to churn out 4000 GB of data per hour of driving. Big data analytics, as an emerging analytical technology, offers the capability to collect, store, process, and visualize these vast amounts of data. Big Data Analytics in Cybersecurity examines security challenges surrounding big data and provides actionable insights that can be used to improve the current practices of network operators and administrators. Applying big data analytics in cybersecurity is critical. By exploiting data from the networks and computers, analysts can discover useful network information from data. Decision makers can make more informative decisions by using this analysis, including what actions need to be performed, and improvement recommendations to policies, guidelines, procedures, tools, and other aspects of the network processes. Bringing together experts from academia, government laboratories, and industry, the book provides insight to both new and more experienced security professionals, as well as data analytics professionals who have varying levels of cybersecurity expertise. It covers a wide range of topics in cybersecurity, which include: Network forensics Threat analysis Vulnerability assessment Visualization Cyber training. In addition, emerging security domains such as the IoT, cloud computing, fog computing, mobile computing, and cyber-social networks are examined. The book first focuses on how big data analytics can be used in different aspects of cybersecurity including network forensics, root-cause analysis, and security training. Next it discusses big data challenges and solutions in such emerging cybersecurity domains as fog computing, IoT, and mobile app security. The book concludes by presenting the tools and datasets for future cybersecurity research.
Author: Sheng-Lung Peng
Publisher: Springer Nature
ISBN: 9813343893
Category : Technology & Engineering
Languages : en
Pages : 675
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Book Description
This book presents the most recent scientific and technological advances in the fields of engineering mathematics and computational science, to strengthen the links in the scientific community. It is a collection of high-quality, peer-reviewed research papers presented at the First International Conference on Mathematical Modeling and Computational Science (ICMMCS 2020), held in Pattaya, Thailand, during 14–15 August 2020. The topics covered in the book are mathematical logic and foundations, numerical analysis, neural networks, fuzzy set theory, coding theory, higher algebra, number theory, graph theory and combinatory, computation in complex networks, calculus, differential educations and integration, application of soft computing, knowledge engineering, machine learning, artificial intelligence, big data and data analytics, high-performance computing, network and device security, and Internet of things (IoT).
Author: Ajith Abraham
Publisher: Springer
ISBN: 9811314985
Category : Technology & Engineering
Languages : en
Pages : 864
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Book Description
The book features research papers presented at the International Conference on Emerging Technologies in Data Mining and Information Security (IEMIS 2018) held at the University of Engineering & Management, Kolkata, India, on February 23–25, 2018. It comprises high-quality research by academics and industrial experts in the field of computing and communication, including full-length papers, research-in-progress papers, case studies related to all the areas of data mining, machine learning, IoT and information security.
Author: IEEE Staff
Publisher:
ISBN: 9781479999279
Category :
Languages : en
Pages :
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Book Description
It will provide a leading forum for disseminating the latest research in Big Data Research, Development, and Applications We solicit high quality original research papers (including significant work in progress) in any aspect of Big Data with emphasis on 5Vs (Volume, Velocity, Variety, Value and Veracity) relevant to variety of data (scientific and engineering, social, sensor IoT IoE, and multimedia audio, video, image, etc) that contribute to the Big Data challenges
