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Identification and Management of Distributed Data

software technologies for identifying, addressing, and managing distributed data. Focusing on this convergence, Identification and Management;

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Identification and Management of Distributed Data

software technologies for identifying, addressing, and managing distributed data. Focusing on this convergence, Identification and Management;

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Data Intensive Distributed Computing

Data Intensive Distributed Computing: Challenges and Solutions for Large-scale Information Management focuses on the challenges;

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Distributed Database Architecture

principle (atomicity, consistency, isolation, durability) and other issues. Transactions in a distributed data environment can be in one of the;

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Computer Information Systems and Industrial Management

; intelligent distributed systems; and biometrics, identification, security.;

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Bsns Dt Comm Mv

'Business Data Communications' covers the fundamentals of data communications, networking, distributed applications, and network management;

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SQL Server 2000

This volume covers basic to advanced topics, including the management and access of distributed data, as well as the creation and;

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eWork and eBusiness in Architecture, Engineering and Construction

Aspects * Multi-Model and distributed Data Management * System Identification * Industrialized Production, Smart Products and Services;

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Transactions on Large-Scale Data- and Knowledge-Centered Systems XLIV

The LNCS journal Transactions on Large-Scale Data- and Knowledge-Centered Systems focuses on data management, knowledge discovery, and;

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Cloud Computing in Remote Sensing

a series of remote sensing data management and processing standards. Features: Covers remote sensing cloud computing Covers;

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Big Data and Computational Intelligence in Networking

comprehensive understanding of network big data, efficient collection and management of network big data, distributed and scalable online analytics for;

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Distributed Data Fusion for Network-Centric Operations

, distributed fusion is taking on a larger role in a variety of applications-from environmental monitoring and crisis management to intelligent;

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Distributed Machine Learning and Gradient Optimization

in the field of machine learning, artificial intelligence, big data and database management.;

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Transactions on Large-Scale Data- and Knowledge-Centered Systems XLVIII

The LNCS journal Transactions on Large-Scale Data- and Knowledge-Centered Systems focuses on data management, knowledge discovery, and;

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Knowledge and Data Management in GRIDs

research results in key areas such as distributed storage management, Grid databases, Semantic Grid and Grid-aware data mining. Written for a;

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Cyber Security Cryptography and Machine Learning

anonymity; post-quantum cryptography and security; machine learning and big data; anomaly detection and malware identification; business;

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Web-Age Information Management

temporal databases, recommender systems, graph data management, information retrieval, privacy and trust, query processing and optimization, social;

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Web-Age Information Management

temporal databases, recommender systems, graph data management, information retrieval, privacy and trust, query processing and optimization, social;

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Data Security, Data Mining & Data Management

In this book, the authors discuss the new technologies and challenges of data security, data mining and data management. Topics include;

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Cloud-Based RDF Data Management

management in cloud environments and paralleldistributed architectures that were not necessarily intended for the cloud, but can easily be deployed;

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Cloud-Based RDF Data Management

management in cloud environments and paralleldistributed architectures that were not necessarily intended for the cloud, but can easily be deployed;

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Cloud-Based RDF Data Management

management in cloud environments and paralleldistributed architectures that were not necessarily intended for the cloud, but can easily be deployed;

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Scientific and Statistical Database Management

, parallel and distributed data management, graph processing, mining multidimensional data, provenance and workflows, processing scientific queries;

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Data Analytics and Management in Data Intensive Domains

This book constitutes the post-conference proceedings of the 21st International Conference on Data Analytics and Management in Data;

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Knowledge Discovery from Sensor Data

presents innovative solutions in offline data mining and real-time analysis of sensor or geographically distributed data. It discusses the;

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Data Placement in Distributed Systems

requirements. Increasing data requirements and the distributed nature of the resources made I/O the major bottleneck for end-to-end application;

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Distributed Computing in Big Data Analytics

decision making. Principles of distributed computing are the keys to big data technologies and analytics. The mechanisms related to data storage;

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