Transactions on Large-Scale Data- And Knowledge-Centered Systems XLIX: Special Issue on Data Management -- Principles, Technologies and Applications, Hameurlain Abdelkader, Tjoa A. Min, Amann Bernd
Автор: Lemahieu Wilfried Название: Principles of Database Management ISBN: 1107186129 ISBN-13(EAN): 9781107186125 Издательство: Cambridge Academ Рейтинг: Цена: 9821.00 р. Наличие на складе: Есть (1 шт.) Описание: A theory-practice focused text that teaches fundamentals of database management, design, modeling, Big Data, analytics, and more. Real-world examples, query walkthroughs, illustrations and case studies, make this perfect for introductory courses for advanced undergraduates or graduate students in information systems or computer science.
Описание: This book constitutes the thoroughly refereed proceedings of the 9th International Conference on Data Management Technologies and Applications, DATA 2020, which was supposed to take place in Paris, France, in July 2020. data analytics; data and information quality; big data; data integrity.
Автор: Jason J. Jung; Pankoo Kim Название: Big Data Technologies and Applications ISBN: 3319589660 ISBN-13(EAN): 9783319589664 Издательство: Springer Рейтинг: Цена: 5870.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book constitutes the refereed post-conference proceedings of the 7th International Conference on Big data Technologies and Applications, BDTA 2016, held in Seoul, South Korea, in November 2016.
Описание: The respective contributions focus on complex social systems and current methodological advances in extracting social knowledge from large data sets, as well as modern social research on human behavior and society using large data sets.
Описание: This book constitutes the refereed post-conference proceedings of the 10th International Conference on Big Data Technologies and Applications, BDTA 2020, and the 13th International Conference on Wireless Internet, WiCON 2020, held in December 2020.
Автор: Curry Edward, Auer Sцren, Berre Arne J. Название: Technologies and Applications for Big Data Value ISBN: 3030783065 ISBN-13(EAN): 9783030783068 Издательство: Springer Рейтинг: Цена: 5589.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание:
Technologies and Applications for Big Data Value.- Part I: Technologies and Methods.- Trade-Offs and Challenges of Serverless Data Analytics.- Big Data and AI Pipeline Framework: Technology Analysis from a Benchmarking Perspective.- An Elastic Software Architecture for Extreme-Scale Big Data Analytics.- Privacy-Preserving Technologies for Trusted Data Spaces.- Leveraging Data-Driven Infrastructure Management to Facilitate AIOps for Big Data Applications and Operations.- Leveraging High-Performance Computing and Cloud Computing with Unified Big-DataWorkflows: The LEXIS Project.- Part II: Processes and Applications.- The DeepHealth Toolkit: A Key European Free and Open-Source Software for Deep Learning and Computer Vision Ready to Exploit Heterogeneous HPC and Cloud Architectures.- Applying AI to Manage Acute and Chronic Clinical Condition.- 3D Human Big Data Exchange Between the Healthcare and Garment Sectors.- Using a Legal Knowledge Graph for Multilingual Compliance Services in Labor Law, Contract Management, and Geothermal Energy.- Big Data Analytics in the Banking Sector: Guidelines and Lessons Learned from the CaixaBank Case.- Data-Driven Artificial Intelligence and Predictive Analytics for the Maintenance of Industrial Machinery with Hybrid and Cognitive Digital Twins.- Big Data Analytics in the Manufacturing Sector: Guidelines and Lessons Learned Through the Centro Ricerche FIAT (CRF) Case.- Next-Generation Big Data-Driven Factory 4.0 Operations and Optimization: The Boost 4.0 Experience.- Big Data-Driven Industry 4.0 Service Engineering Large-Scale Trials: The Boost 4.0 Experience.- Model-Based Engineering and Semantic Interoperability for Trusted Digital Twins Big Data Connection Across the Product Lifecycle.- A Data Science Pipeline for Big Linked Earth Observation Data.- Towards Cognitive Ports of the Futures.- Distributed Big Data Analytics in a Smart City.- Processing Big Data in Motion: Core Components and System Architectures with Applications to the Maritime Domain.- Knowledge Modeling and Incident Analysis for Special Cargo.
Автор: Curry Edward, Auer Sцren, Berre Arne J. Название: Technologies and Applications for Big Data Value ISBN: 303078309X ISBN-13(EAN): 9783030783099 Издательство: Springer Рейтинг: Цена: 5589.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание:
Technologies and Applications for Big Data Value.- Part I: Technologies and Methods.- Trade-Offs and Challenges of Serverless Data Analytics.- Big Data and AI Pipeline Framework: Technology Analysis from a Benchmarking Perspective.- An Elastic Software Architecture for Extreme-Scale Big Data Analytics.- Privacy-Preserving Technologies for Trusted Data Spaces.- Leveraging Data-Driven Infrastructure Management to Facilitate AIOps for Big Data Applications and Operations.- Leveraging High-Performance Computing and Cloud Computing with Unified Big-DataWorkflows: The LEXIS Project.- Part II: Processes and Applications.- The DeepHealth Toolkit: A Key European Free and Open-Source Software for Deep Learning and Computer Vision Ready to Exploit Heterogeneous HPC and Cloud Architectures.- Applying AI to Manage Acute and Chronic Clinical Condition.- 3D Human Big Data Exchange Between the Healthcare and Garment Sectors.- Using a Legal Knowledge Graph for Multilingual Compliance Services in Labor Law, Contract Management, and Geothermal Energy.- Big Data Analytics in the Banking Sector: Guidelines and Lessons Learned from the CaixaBank Case.- Data-Driven Artificial Intelligence and Predictive Analytics for the Maintenance of Industrial Machinery with Hybrid and Cognitive Digital Twins.- Big Data Analytics in the Manufacturing Sector: Guidelines and Lessons Learned Through the Centro Ricerche FIAT (CRF) Case.- Next-Generation Big Data-Driven Factory 4.0 Operations and Optimization: The Boost 4.0 Experience.- Big Data-Driven Industry 4.0 Service Engineering Large-Scale Trials: The Boost 4.0 Experience.- Model-Based Engineering and Semantic Interoperability for Trusted Digital Twins Big Data Connection Across the Product Lifecycle.- A Data Science Pipeline for Big Linked Earth Observation Data.- Towards Cognitive Ports of the Futures.- Distributed Big Data Analytics in a Smart City.- Processing Big Data in Motion: Core Components and System Architectures with Applications to the Maritime Domain.- Knowledge Modeling and Incident Analysis for Special Cargo.
Автор: U Kang; Ee-Peng Lim; Jeffrey Xu Yu; Yang-Sae Moon Название: Trends and Applications in Knowledge Discovery and Data Mining ISBN: 3319672738 ISBN-13(EAN): 9783319672731 Издательство: Springer Рейтинг: Цена: 7685.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: The workshops affiliated with PAKDD 2017 include: Workshop on Machine Learning for Sensory Data Analysis (MLSDA), Workshop on Biologically Inspired Data Mining Techniques (BDM), Pacific Asia Workshop on Intelligence and Security Informatics (PAISI), and Workshop on Data Mining in Business Process Management (DM-BPM).
Описание: This book constitutes the thoroughly refereed post-workshop proceedings at PAKDD Workshops 2016, held in conjunction with PAKDD, the 20th Pacific-Asia Conference on Knowledge Discovery and Data Mining in Auckland, New Zealand, in April 2016. The 23 revised papers presented were carefully reviewed and selected from 38 submissions.
Автор: Mundada Monica R., Seema S., K. G. Srinivasa Название: Deep Learning Applications for Cyber-Physical Systems ISBN: 1799881628 ISBN-13(EAN): 9781799881629 Издательство: Mare Nostrum (Eurospan) Рейтинг: Цена: 29522.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Provides researchers a platform to present state-of-the-art innovations, research, and designs while implementing methodological and algorithmic solutions to data processing problems and designing and analysing evolving trends in health informatics and computer-aided diagnosis in deep learning techniques in context with cyber physical systems.
Автор: Mundada Monica R., Seema S., K. G. Srinivasa Название: Deep Learning Applications for Cyber-Physical Systems ISBN: 179988161X ISBN-13(EAN): 9781799881612 Издательство: Mare Nostrum (Eurospan) Рейтинг: Цена: 39085.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Big data generates around us constantly from daily business, custom use, engineering, and science activities. Sensory data is collected from the internet of things (IoT) and cyber-physical systems (CPS). Merely storing such a massive amount of data is meaningless, as the key point is to identify, locate, and extract valuable knowledge from big data to forecast and support services. Such extracted valuable knowledge is usually referred to as smart data. It is vital to providing suitable decisions in business, science, and engineering applications.
Deep Learning Applications for Cyber-Physical Systems provides researchers a platform to present state-of-the-art innovations, research, and designs while implementing methodological and algorithmic solutions to data processing problems and designing and analyzing evolving trends in health informatics and computer-aided diagnosis in deep learning techniques in context with cyber physical systems. Covering topics such as smart medical systems, intrusion detection systems, and predictive analytics, this text is essential for computer scientists, engineers, practitioners, researchers, students, and academicians, especially those interested in the areas of internet of things, machine learning, deep learning, and cyber-physical systems.
Interoperable Data Extraction and Analytics Queries over Blockchains.- Exploiting Twitter for Informativeness Classification in Disaster Situations.- COTILES: Leveraging Content and Structure for Evolutionary Community Detection.- A Weighted Feature-Based Image Quality Assessment Framework in Real-Time.- Sharing Knowledge in Digital Ecosystems Using Semantic Multimedia Big Data.- Facilitating and Managing Machine Learning and Data Analysis Tasks in Big Data Environments Using Web and Microservice Technologies.- Stable Marriage Matching for Homogenizing Load Distribution in a Cloud Data Center.- A Sentiment Analysis Software Framework for the Support of Business Information Architecture in the Tourist Sector
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