Fog Data Analytics for Iot Applications: Next Generation Process Model with State of the Art Technologies, Tanwar Sudeep
Автор: Hu & Kaabouch Название: Big Data Management, Technologies, And Applications ISBN: 1466646993 ISBN-13(EAN): 9781466646995 Издательство: Mare Nostrum (Eurospan) Рейтинг: Цена: 170010.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: Due to the tremendous amount of data generated daily from fields such as business, research, and sciences, big data is everywhere. Therefore, alternative management and processing methods have to be created to handle this complex and unstructured data size.Big Data Management, Technologies, and Applications discusses the exponential growth of information size and the innovative methods for data capture, storage, sharing, and analysis for big data. With its prevalence, this collection of articles on big data methodologies and technologies are beneficial for IT workers, researchers, students, and practitioners in this timely field.
Автор: Chiara Francalanci; Markus Helfert Название: Data Management Technologies and Applications ISBN: 3319629107 ISBN-13(EAN): 9783319629100 Издательство: Springer Рейтинг: Цена: 55890.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: This book constitutes the thoroughly refereed proceedings of the Fourth International Conference on Data Technologies and Applications, DATA 2016, held in Colmar, France, in July 2016.
Автор: Bhatt Chintan, Dey Nilanjan, Ashour Amira S. Название: Internet of Things and Big Data Technologies for Next Generation Healthcare ISBN: 3319842285 ISBN-13(EAN): 9783319842288 Издательство: Springer Рейтинг: Цена: 158380.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: This comprehensive book focuses on better big-data security for healthcare organizations. Following an extensive introduction to the Internet of Things (IoT) in healthcare including challenging topics and scenarios, it offers an in-depth analysis of medical body area networks with the 5th generation of IoT communication technology along with its nanotechnology. It also describes a novel strategic framework and computationally intelligent model to measure possible security vulnerabilities in the context of e-health. Moreover, the book addresses healthcare systems that handle large volumes of data driven by patients’ records and health/personal information, including big-data-based knowledge management systems to support clinical decisions. Several of the issues faced in storing/processing big data are presented along with the available tools, technologies and algorithms to deal with those problems as well as a case study in healthcare analytics. Addressing trust, privacy, and security issues as well as the IoT and big-data challenges, the book highlights the advances in the field to guide engineers developing different IoT devices and evaluating the performance of different IoT techniques. Additionally, it explores the impact of such technologies on public, private, community, and hybrid scenarios in healthcare. This book offers professionals, scientists and engineers the latest technologies, techniques, and strategies for IoT and big data.
Автор: Kah Phooi Seng; Li-minn Ang; Alan Wee-Chung Liew; Название: Multimodal Analytics for Next-Generation Big Data Technologies and Applications ISBN: 3319975978 ISBN-13(EAN): 9783319975979 Издательство: Springer Рейтинг: Цена: 111790.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: This edited book will serve as a source of reference for technologies and applications for multimodality data analytics in big data environments. After an introduction, the editors organize the book into four main parts on sentiment, affect and emotion analytics for big multimodal data; unsupervised learning strategies for big multimodal data; supervised learning strategies for big multimodal data; and multimodal big data processing and applications. The book will be of value to researchers, professionals and students in engineering and computer science, particularly those engaged with image and speech processing, multimodal information processing, data science, and artificial intelligence.
Автор: Nik Bessis; Fatos Xhafa Название: Next Generation Data Technologies for Collective Computational Intelligence ISBN: 3642267343 ISBN-13(EAN): 9783642267345 Издательство: Springer Рейтинг: Цена: 278580.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: Blending theory with practice, this book brings together a variety of next-generation data technologies used to capture, integrate, analyze, mine, annotate and visualize distributed data in a manner that is meaningful and collaborative for the organization.
Автор: Fatos Xhafa; Leonard Barolli; Admir Barolli; Petra Название: Modeling and Processing for Next-Generation Big-Data Technologies ISBN: 331909176X ISBN-13(EAN): 9783319091761 Издательство: Springer Рейтинг: Цена: 174150.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: This book covers the latest advances in Big Data technologies and provides the readers with a comprehensive review of the state-of-the-art in Big Data processing, analysis, analytics, and other related topics.
Автор: Chintan Bhatt; Nilanjan Dey; Amira S. Ashour Название: Internet of Things and Big Data Technologies for Next Generation Healthcare ISBN: 3319497359 ISBN-13(EAN): 9783319497358 Издательство: Springer Рейтинг: Цена: 139750.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: Internet of Things Driven Connected Healthcare.-Internet of Things in HealthcareEnergy Efficient Network Design for IoT Healthcare Applications.-Exploring Formal Strategy Framework for the Security in IoT in e-health using Computational Intelligence.-Vitality of Robotics in Healthcare Industry: An Internet of Things (IoT) Perspective.-Internet of Things Meets Mobile Health Systems in Smart Spaces: An Overview.-Information and Communication Emerging Technology: Making Sense of Healthcare Innovation.-Health Informatics as a Service (HIaaS) for Developing Countries.- Analysis of Power Aware Protocols and Standards for Critical E-Health Applications.-Social Networking and Analytics.-A decision support system in brain tumor detection and localization in nominated areas in MR images.-Detecting Unusual Human Activities Using GPU-enabled Neural Network and Kinect Sensors.
Автор: Fatos Xhafa; Leonard Barolli; Admir Barolli; Petra Название: Modeling and Processing for Next-Generation Big-Data Technologies ISBN: 3319385003 ISBN-13(EAN): 9783319385006 Издательство: Springer Рейтинг: Цена: 148010.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: This book covers the latest advances in Big Data technologies and provides the readers with a comprehensive review of the state-of-the-art in Big Data processing, analysis, analytics, and other related topics.
Автор: Ma Zongmin, Yan Li Название: Emerging Technologies and Applications in Data Processing and Management ISBN: 1522585052 ISBN-13(EAN): 9781522585053 Издательство: Mare Nostrum (Eurospan) Рейтинг: Цена: 167200.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: Examines the importance of data management strategies that coincide with advancements in web technologies. Highlighting topics such as geospatial coverages, data analysis, and keyword query, this book is aimed at professionals, researchers, academics, data analysts, web developers, and web engineers.
Автор: Christoph Quix; Jorge Bernardino Название: Data Management Technologies and Applications ISBN: 3030266354 ISBN-13(EAN): 9783030266356 Издательство: Springer Рейтинг: Цена: 46570.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: This book constitutes the thoroughly refereed proceedings of the 7th International Conference on Data Management Technologies and Applications, DATA 2018, held in Porto, Portugal, in July 2018. The 9 revised full papers were carefully reviewed and selected from 69 submissions. The papers deal with the following topics: databases, big data, data mining, data management, data security, and other aspects of information systems and technology involving advanced applications of data.
Автор: Radivilova Tamara, Ageyev Dmytro, Kryvinska Natalia Название: Data-Centric Business and Applications: Ict Systems-Theory, Radio-Electronics, Information Technologies and Cybersecurity (Volume 5) ISBN: 3030430693 ISBN-13(EAN): 9783030430696 Издательство: Springer Рейтинг: Цена: 139750.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: Automated Subjective Assessment of Speech Intelligibility under Diotic and Dichotic Listening.- Different Approaches to Studying the Extreme Properties of Signal Functions Synthesized with Splines.- Adaptive Complex Singular Spectrum Analysis with Application to Modern Superresolution Methods.- Practical Application of Clustering Methods in Radar Signals Recognition System.- Optimization of the Quality of Information Support for Consumers of Cooperative Surveillance Systems.- Adaptive Semantic Analysis of Radar Data Using Fuzzy Transform.- Approaches to Building a Chaotic Communication System.- Implementation of Evolutionary Methods of Solving the Travelling Salesman Problem in a Robotic Warehouse.- Study of Approaches to the Management of the Production of Entomophages.- Information Technologies for Analysis and Modeling of Computer Network s Development.- The New Cryptographic Method for Software and Hardware Protection of Communication Channels in Open Environments.- Fusion the Coordinate Data of Airborne Objects in the Networks of Surveillance Radar Observation Systems.- Analysis of Influence of Network Architecture Nonuniformity and Traffic Self-similarity Properties to Load Balancing and Average End-to-End Delay.
Scalable Saturation of Streaming RDF Triples.- Efficient Execution of Scientific Workflows in the Cloud through Adaptive Caching.- From Task Tuning to Task Assignment in Privacy-Preserving.- Secure Distributed Queries over Large Sets of Personal Home Boxes.- Evaluating Classification Feasibility Using Functional Dependencies.- Enabling Decision Support through Ranking and Summarization of Association Rules for TOTAL Customers.
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