Mobile Crowdsensing

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Publisher : CRC Press
ISBN 13 : 1498738451
Total Pages : 184 pages
Book Rating : 4.4/5 (987 download)

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Book Synopsis Mobile Crowdsensing by : Cristian Borcea

Download or read book Mobile Crowdsensing written by Cristian Borcea and published by CRC Press. This book was released on 2016-12-01 with total page 184 pages. Available in PDF, EPUB and Kindle. Book excerpt: Mobile crowdsensing is a technology that allows large scale, cost-effective sensing of the physical world. In mobile crowdsensing, mobile personal devices such as smart phones or smart watches come equipped with a variety of sensors that can be leveraged to collect data related to environment, transportation, healthcare, safety and so on. This book presents the first extensive coverage of mobile crowdsensing, with examples and insights drawn from the authors’ extensive research on this topic as well as from the research and development of a growing community of researchers and practitioners working in this emerging field. Throughout the text, the authors provide the reader with various examples of crowdsensing applications and the building blocks to creating the necessary infrastructure, explore the related concepts of mobile sensing and crowdsourcing, and examine security and privacy issues introduced by mobile crowdsensing platforms. Provides a comprehensive description of mobile crowdsensing, a one-stop shop for all relevant issues pertaining to mobile crowdsensing, including motivation, applications, design and implementation, incentive mechanisms, and reliability and privacy. Describes the design and implementations of mobile crowdsensing platforms of great interest for the readers working in research and industry to quickly implement and test their systems. Identifies potential issues in building such mobile crowdsensing applications to ensure their usability in real life and presents future directions in mobile crowdsensing by emphasizing the open problems that have to be addressed.

Privacy-Preserving in Mobile Crowdsensing

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Author :
Publisher : Springer Nature
ISBN 13 : 9811983151
Total Pages : 205 pages
Book Rating : 4.8/5 (119 download)

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Book Synopsis Privacy-Preserving in Mobile Crowdsensing by : Chuan Zhang

Download or read book Privacy-Preserving in Mobile Crowdsensing written by Chuan Zhang and published by Springer Nature. This book was released on 2023-03-24 with total page 205 pages. Available in PDF, EPUB and Kindle. Book excerpt: Mobile crowdsensing is a new sensing paradigm that utilizes the intelligence of a crowd of individuals to collect data for mobile purposes by using their portable devices, such as smartphones and wearable devices. Commonly, individuals are incentivized to collect data to fulfill a crowdsensing task released by a data requester. This “sensing as a service” elaborates our knowledge of the physical world by opening up a new door of data collection and analysis. However, with the expansion of mobile crowdsensing, privacy issues urgently need to be solved. In this book, we discuss the research background and current research process of privacy protection in mobile crowdsensing. In the first chapter, the background, system model, and threat model of mobile crowdsensing are introduced. The second chapter discusses the current techniques to protect user privacy in mobile crowdsensing. Chapter three introduces the privacy-preserving content-based task allocation scheme. Chapter four further introduces the privacy-preserving location-based task scheme. Chapter five presents the scheme of privacy-preserving truth discovery with truth transparency. Chapter six proposes the scheme of privacy-preserving truth discovery with truth hiding. Chapter seven summarizes this monograph and proposes future research directions. In summary, this book introduces the following techniques in mobile crowdsensing: 1) describe a randomizable matrix-based task-matching method to protect task privacy and enable secure content-based task allocation; 2) describe a multi-clouds randomizable matrix-based task-matching method to protect location privacy and enable secure arbitrary range queries; and 3) describe privacy-preserving truth discovery methods to support efficient and secure truth discovery. These techniques are vital to the rapid development of privacy-preserving in mobile crowdsensing.

Incentive Mechanism for Mobile Crowdsensing

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Publisher : Springer Nature
ISBN 13 : 9819969212
Total Pages : 137 pages
Book Rating : 4.8/5 (199 download)

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Book Synopsis Incentive Mechanism for Mobile Crowdsensing by : Youqi Li

Download or read book Incentive Mechanism for Mobile Crowdsensing written by Youqi Li and published by Springer Nature. This book was released on 2024-01-03 with total page 137 pages. Available in PDF, EPUB and Kindle. Book excerpt: Mobile crowdsensing (MCS) is emerging as a novel sensing paradigm in the Internet of Things (IoTs) due to the proliferation of smart devices (e.g., smartphones, wearable devices) in people’s daily lives. These ubiquitous devices provide an opportunity to harness the wisdom of crowds by recruiting mobile users to collectively perform sensing tasks, which largely collect data about a wide range of human activities and the surrounding environment. However, users suffer from resource consumption such as battery, processing power, and storage, which discourages users’ participation. To ensure the participation rate, it is necessary to employ an incentive mechanism to compensate users’ costs such that users are willing to take part in crowdsensing. This book sheds light on the design of incentive mechanisms for MCS in the context of game theory. Particularly, this book presents several game-theoretic models for MCS in different scenarios. In Chapter 1, the authors present an overview of MCS and state the significance of incentive mechanism for MCS. Then, in Chapter 2, 3, 4, and 5, the authors propose a long-term incentive mechanism, a fair incentive mechanism, a collaborative incentive mechanism, and a coopetition-aware incentive mechanism for MCS, respectively. Finally, Chapter 6 summarizes this book and point out the future directions. This book is of particular interest to the readers and researchers in the field of IoT research, especially in the interdisciplinary field of network economics and IoT.

When Compressive Sensing Meets Mobile Crowdsensing

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Author :
Publisher : Springer
ISBN 13 : 9811377766
Total Pages : 127 pages
Book Rating : 4.8/5 (113 download)

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Book Synopsis When Compressive Sensing Meets Mobile Crowdsensing by : Linghe Kong

Download or read book When Compressive Sensing Meets Mobile Crowdsensing written by Linghe Kong and published by Springer. This book was released on 2019-06-08 with total page 127 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book provides a comprehensive introduction to applying compressive sensing to improve data quality in the context of mobile crowdsensing. It addresses the following main topics: recovering missing data, efficiently collecting data, preserving user privacy, and detecting false data. Mobile crowdsensing, as an emerging sensing paradigm, enables the masses to take part in data collection tasks with the aid of powerful mobile devices. However, mobile crowdsensing platforms have yet to be widely adopted in practice, the major concern being the quality of the data collected. There are numerous causes: some locations may generate redundant data, while others may not be covered at all, since the participants are rarely systematically coordinated; privacy is a concern for some people, who don’t wish to share their real-time locations, and therefore some key information may be missing; further, some participants may upload fake data in order to fraudulently gain rewards. To address these problematic aspects, compressive sensing, which works by accurately recovering a sparse signal using very few samples, has proven to offer an effective solution.

Mobile Crowdsensing

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Author :
Publisher : CRC Press
ISBN 13 : 1315352419
Total Pages : 207 pages
Book Rating : 4.3/5 (153 download)

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Book Synopsis Mobile Crowdsensing by : Cristian Borcea

Download or read book Mobile Crowdsensing written by Cristian Borcea and published by CRC Press. This book was released on 2016-12-01 with total page 207 pages. Available in PDF, EPUB and Kindle. Book excerpt: Mobile crowdsensing is a technology that allows large scale, cost-effective sensing of the physical world. In mobile crowdsensing, mobile personal devices such as smart phones or smart watches come equipped with a variety of sensors that can be leveraged to collect data related to environment, transportation, healthcare, safety and so on. This book presents the first extensive coverage of mobile crowdsensing, with examples and insights drawn from the authors’ extensive research on this topic as well as from the research and development of a growing community of researchers and practitioners working in this emerging field. Throughout the text, the authors provide the reader with various examples of crowdsensing applications and the building blocks to creating the necessary infrastructure, explore the related concepts of mobile sensing and crowdsourcing, and examine security and privacy issues introduced by mobile crowdsensing platforms. Provides a comprehensive description of mobile crowdsensing, a one-stop shop for all relevant issues pertaining to mobile crowdsensing, including motivation, applications, design and implementation, incentive mechanisms, and reliability and privacy. Describes the design and implementations of mobile crowdsensing platforms of great interest for the readers working in research and industry to quickly implement and test their systems. Identifies potential issues in building such mobile crowdsensing applications to ensure their usability in real life and presents future directions in mobile crowdsensing by emphasizing the open problems that have to be addressed.

Multi-dimensional Urban Sensing Using Crowdsensing Data

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Author :
Publisher : Springer Nature
ISBN 13 : 9811990069
Total Pages : 204 pages
Book Rating : 4.8/5 (119 download)

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Book Synopsis Multi-dimensional Urban Sensing Using Crowdsensing Data by : Chaocan Xiang

Download or read book Multi-dimensional Urban Sensing Using Crowdsensing Data written by Chaocan Xiang and published by Springer Nature. This book was released on 2023-03-23 with total page 204 pages. Available in PDF, EPUB and Kindle. Book excerpt: Chaocan Xiang is an Associate Professor at the College of Computer Science, Chongqing University, China. He received his bachelor’s degree and Ph.D. from Nanjing Institute of Communication Engineering, China, in 2009 and 2014, respectively. He subsequently studied at the University of Michigan-Ann Arbor in 2017 (supervised by Prof. Kang G. Shin, IEEE Life Fellow, ACM Fellow). His research interests mainly include UAVs/vehicle-based crowdsensing, urban computing, Internet of Things, Artificial Intelligence, and big data. He has published more than 50 papers, including over 20 in leading venues such as IEEE Transactions on Mobile Computing, IEEE Transactions on Parallel and Distributed Systems, IEEE INFOCOM, and ACM Ubicomp. He has received a best paper award and a best poster award at two international conferences. Panlong Yang is a full Professor at the University of Science and Technology of China. He has been supported by the NSF Jiangsu through a Distinguished Young Scholarship and was honored as a CCF Distinguished Lecturer in 2015. He has published over 150 papers, including 40 in CCF Class A. Since 2012, he has supervised 14 master’s and Ph.D. candidates, including two excellent dissertation winners in Jiangsu Province and the PLA education system. He has been supported by the National Key Development Project and NSFC projects. He has nominated by ACM MobiCom 2009 for the best demo honored mention awards, and won best paper awards at the IEEE MSN and MASS. He has served as general chair of BigCom and TPC chair of IEEE MSN. In addition, he has served as a TPC member of INFOCOM (CCF Class A) and an associate editor of the Journal of Communication of China. He is a Senior Member of the IEEE (2019). Fu Xiao received his Ph.D. in Computer Science and Technology from the Nanjing University of Science and Technology, Nanjing, China, in 2007. He is currently a Professor and Dean of the School of Computer, Nanjing University of Posts and Telecommunications. He has authored more than 60 papers in respected conference proceedings and journals, including IEEE INFOCOM, ACM Mobihoc, IEEE JASC, IEEE/ACM ToN, IEEE TPDS, IEEE TMC, etc. His main research interest is in the Internet of Things. He is a member of the IEEE Computer Society and the Association for Computing Machinery. Xiaochen Fan received his B.S. degree in Computer Science from Beijing Institute of Technology, Beijing, China, in 2013, and his Ph.D. from the University of Technology Sydney, NSW, Australia, in 2021. His research interests include mobile/pervasive computing, deep learning, and Internet of Things (IoT). He has published over 25 peer-reviewed papers in high-quality journals and IEEE/ACM international conference proceedings.

Mobile Computing, Applications, and Services

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Author :
Publisher : Springer Nature
ISBN 13 : 3030284689
Total Pages : 245 pages
Book Rating : 4.0/5 (32 download)

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Book Synopsis Mobile Computing, Applications, and Services by : Yuyu Yin

Download or read book Mobile Computing, Applications, and Services written by Yuyu Yin and published by Springer Nature. This book was released on 2019-09-24 with total page 245 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the thoroughly refereed post-conference proceedings of the 10th International Conference on Mobile Computing, Applications, and Services, MobiCASE 2019, held in Hangzhou, China, in June 2019. The 17 full papers were carefully reviewed and selected from 48 submissions. The papers are organized in topical sections on mobile application with data analysis, mobile application with AI, edge computing, energy optimization and application

Security and Privacy for Next-Generation Wireless Networks

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Publisher : Springer
ISBN 13 : 303001150X
Total Pages : 183 pages
Book Rating : 4.0/5 (3 download)

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Book Synopsis Security and Privacy for Next-Generation Wireless Networks by : Sheng Zhong

Download or read book Security and Privacy for Next-Generation Wireless Networks written by Sheng Zhong and published by Springer. This book was released on 2018-11-22 with total page 183 pages. Available in PDF, EPUB and Kindle. Book excerpt: This timely book provides broad coverage of security and privacy issues in the macro and micro perspective. In macroperspective, the system and algorithm fundamentals of next-generation wireless networks are discussed. In micro-perspective, this book focuses on the key secure and privacy techniques in different emerging networks from the interconnection view of human and cyber-physical world. This book includes 7 chapters from prominent international researchers working in this subject area. This book serves as a useful reference for researchers, graduate students, and practitioners seeking solutions to wireless security and privacy related issues Recent advances in wireless communication technologies have enabled the large-scale deployment of next-generation wireless networks, and many other wireless applications are emerging. The next generation of mobile networks continues to transform the way people communicate and access information. As a matter of fact, next-generation emerging networks are exploiting their numerous applications in both military and civil fields. For most applications, it is important to guarantee high security of the deployed network in order to defend against attacks from adversaries, as well as the privacy intrusion. The key target in the development of next-generation wireless networks is to promote the integration of the human, cyber, and physical worlds. Previous work in Cyber Physical Systems (CPS) considered the connection between the cyber world and the physical world. In the recent studies, human involvement brings new channels and initiatives in this interconnection. In this integration process, security and privacy are critical issues to many wireless network applications, and it is a paramount concern for the growth of next-generation wireless networks. This is due to the open nature of wireless communication and the involvement of humans. New opportunities for tackling these security and privacy issues in next-generation wireless networks will be achieved by leveraging the properties of interaction among human, computers and things.

Collaborative Computing: Networking, Applications and Worksharing

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Publisher : Springer Nature
ISBN 13 : 3031545214
Total Pages : 458 pages
Book Rating : 4.0/5 (315 download)

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Book Synopsis Collaborative Computing: Networking, Applications and Worksharing by : Honghao Gao

Download or read book Collaborative Computing: Networking, Applications and Worksharing written by Honghao Gao and published by Springer Nature. This book was released on with total page 458 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Algorithms and Architectures for Parallel Processing

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Publisher : Springer Nature
ISBN 13 : 9819708087
Total Pages : 525 pages
Book Rating : 4.8/5 (197 download)

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Book Synopsis Algorithms and Architectures for Parallel Processing by : Zahir Tari

Download or read book Algorithms and Architectures for Parallel Processing written by Zahir Tari and published by Springer Nature. This book was released on with total page 525 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Ubiquitous Security

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Publisher : Springer Nature
ISBN 13 : 9819712742
Total Pages : 474 pages
Book Rating : 4.8/5 (197 download)

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Book Synopsis Ubiquitous Security by : Guojun Wang

Download or read book Ubiquitous Security written by Guojun Wang and published by Springer Nature. This book was released on with total page 474 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Privacy and Security for Mobile Crowdsourcing

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Author :
Publisher : CRC Press
ISBN 13 : 1003811418
Total Pages : 142 pages
Book Rating : 4.0/5 (38 download)

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Book Synopsis Privacy and Security for Mobile Crowdsourcing by : Shabnam Sodagari

Download or read book Privacy and Security for Mobile Crowdsourcing written by Shabnam Sodagari and published by CRC Press. This book was released on 2023-12-21 with total page 142 pages. Available in PDF, EPUB and Kindle. Book excerpt: This concise guide to mobile crowdsourcing and crowdsensing vulnerabilities and countermeasures walks readers through a series of examples, discussions, tables, initiative figures, and diagrams to present to them security and privacy foundations and applications. Discussed approaches help build intuition to apply these concepts to a broad range of system security domains toward dimensioning of next generations of mobiles crowdsensing applications. This book offers vigorous techniques as well as new insights for both beginners and seasoned professionals. It reflects on recent advances and research achievements. Technical topics discussed in the book include but are not limited to: Risks affecting crowdsensing platforms Spatio-temporal privacy of crowdsourced applications Differential privacy for data mining crowdsourcing Blockchain-based crowdsourcing Secure wireless mobile crowdsensing. This book is accessible to readers in mobile computer/communication industries as well as academic staff and students in computer science, electrical engineering, telecommunication systems, business information systems, and crowdsourced mobile app developers.

Wireless Algorithms, Systems, and Applications

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Publisher : Springer
ISBN 13 : 3030235971
Total Pages : 661 pages
Book Rating : 4.0/5 (32 download)

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Book Synopsis Wireless Algorithms, Systems, and Applications by : Edoardo S. Biagioni

Download or read book Wireless Algorithms, Systems, and Applications written by Edoardo S. Biagioni and published by Springer. This book was released on 2019-06-20 with total page 661 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the proceedings of the 14th International Conference on Wireless Algorithms, Systems, and Applications, WASA 2019, held in Honolulu, HI, USA, in June 2019. The 43 full and 11 short papers presented were carefully reviewed and selected from 143 submissions. The papers deal with new ideas and recent advances in computer systems, wireless networks, distributed applications, and advanced algorithms that are pushing forward the new technologies for better information sharing, computer communication, and universal connected devices in various environments, especially in wireless networks.

Information and Communications Technologies for Smart Cities and Societies

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Publisher : Springer Nature
ISBN 13 : 3031394461
Total Pages : 136 pages
Book Rating : 4.0/5 (313 download)

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Book Synopsis Information and Communications Technologies for Smart Cities and Societies by : Roberto Menozzi

Download or read book Information and Communications Technologies for Smart Cities and Societies written by Roberto Menozzi and published by Springer Nature. This book was released on 2023-10-09 with total page 136 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book offers an overview of digital, IoT and intelligent technologies, applications and solutions that are contributing to shape the digital, inclusive, and sustainable transformation of contemporary cities. Based on peer-reviewed contributions to the workshop "Information and Communications Technologies for Smart Cities and Societies", held on December 2, 2022, at the University of Parma, Italy, it offers a multidisciplinary, authoritative snapshot for researchers, architects, and engineers, as well as professionals and policy makers, involved in planning the city of the future. The book describes practical case studies, discussing challenges and opportunities of the integration of ICTs in the planning and management of future cities.

Nanosensors for Smart Cities

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Author :
Publisher : Elsevier
ISBN 13 : 0128199237
Total Pages : 962 pages
Book Rating : 4.1/5 (281 download)

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Book Synopsis Nanosensors for Smart Cities by : Baoguo Han

Download or read book Nanosensors for Smart Cities written by Baoguo Han and published by Elsevier. This book was released on 2020-02-13 with total page 962 pages. Available in PDF, EPUB and Kindle. Book excerpt: Nanosensors for Smart Cities covers the fundamental design concepts and emerging applications of nanosensors for the creation of smart city infrastructures. Examples of major applications include logistics management, where nanosensors could be used in active transport tracking devices for smart tracking and tracing, and in agri-food productions, where nanosensors are used in nanochips for identity, and food inspection, and smart storage. This book is essential reading for researchers working in the field of advanced sensors technology, smart city technology and nanotechnology, and stakeholders involved in city management. Nanomaterials based sensors (nanosensors) can offer many advantages over their microcounterparts, including lower power consumption, high sensitivity, lower concentration of analytes, and smaller interaction distance between object and sensor. With the support of artificial intelligence (AI) tools, such as fuzzy logic, genetic algorithms, neural networks, and ambient-intelligence, sensor systems are becoming smarter. Provides information on the fabrication and fundamental design concepts of nanosensors for intelligent systems Explores how nanosensors are being used to better monitor and maintain infrastructure services, including street lighting, traffic management and pollution control Assesses the challenges for creating nanomaterials-enhanced sensors for mass-market consumer products

Handbook of Smart Cities

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Author :
Publisher : Springer
ISBN 13 : 3319972715
Total Pages : 406 pages
Book Rating : 4.3/5 (199 download)

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Book Synopsis Handbook of Smart Cities by : Muthucumaru Maheswaran

Download or read book Handbook of Smart Cities written by Muthucumaru Maheswaran and published by Springer. This book was released on 2018-11-15 with total page 406 pages. Available in PDF, EPUB and Kindle. Book excerpt: This handbook provides a glimpse of the research that is underway in smart cities, with an examination of the relevant issues. It describes software infrastructures for smart cities, the role of 5G and Internet of things in future smart cities scenarios, the use of clouds and sensor-based devices for monitoring and managing smart city facilities, a variety of issues in the emerging field of urban informatics, and various smart city applications. Handbook of Smart Cities includes fifteen chapters from renowned worldwide researchers working on various aspects of smart city scale cyber-physical systems. It is intended for researchers, developers of smart city technologies and advanced-level students in the fields of communication systems, computer science, and data science. This handbook is also designed for anyone wishing to find out more about the on-going research thrusts and deployment experiences in smart cities. It is meant to provide a snapshot of the state-of-the-art at the time of its writing in several software services and cyber infrastructures as pertinent to smart cities. This handbook presents application case studies in video surveillance, smart parking, and smart building management in the smart city context. Unique experiences in designing and implementing the applications or the issues involved in developing smart city level applications are described in these chapters. Integration of machine learning into several smart city application scenarios is also examined in some chapters of this handbook.

Data Analytics and Management in Data Intensive Domains

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Publisher : Springer
ISBN 13 : 3319571354
Total Pages : 281 pages
Book Rating : 4.3/5 (195 download)

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Book Synopsis Data Analytics and Management in Data Intensive Domains by : Leonid Kalinichenko

Download or read book Data Analytics and Management in Data Intensive Domains written by Leonid Kalinichenko and published by Springer. This book was released on 2017-04-20 with total page 281 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed proceedings of the 28th International Conference on Data Analytics and Management in Data Intensive Domains, DAMDID/RCDL 2016, held in Ershovo, Moscow, Russia, in October 2016. The 16 revised full papers presented together with one invited talk and two keynote papers were carefully reviewed and selected from 57 submissions. The papers are organized in topical sections on semantic modeling in data intensive domains; knowledge and learning management; text mining; data infrastructures in astrophysics; data analysis; research infrastructures; position paper.