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Healthcare Data Analytics and Management

, opportunities, novel strategies, techniques and challenges for handling big data, data analytics and management in healthcare. As the rapidly expanding;

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Data Analytics and Management

This book includes original unpublished contributions presented at the International Conference on Data Analytics and Management (ICDAM;

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Data Management for Researchers

A comprehensive guide to everything scientists need to know about data management, this book is essential for researchers who need to learn;

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Data Management for Researchers

A comprehensive guide to everything scientists need to know about data management, this book is essential for researchers who need to learn;

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Knowledge and Data Management in GRIDs

Current research activities are leveraging the Grid to create generic- and domain-specific solutions and services for data management and;

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Intelligent Innovations in Multimedia Data Engineering and Management

With the ever-increasing volume of data, proper management of data is a challenging proposition to scientists and researchers, and given;

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Data Management in R

An invaluable step-by-step, pedagogically engaging guide to data management in R for social science researchers. This book shows students;

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Data Management in R

An invaluable step-by-step, pedagogically engaging guide to data management in R for social science researchers. This book shows students;

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Research Data Management and Data Literacies

Research Data Management and Data Literacies help researchers familiarize themselves with RDM, and with the services increasingly;

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Engaging Researchers with Data Management

help drive cultural change towards better data management. It has been written for anyone interested in RDM, or simply, good research practice.;

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Engaging Researchers with Data Management

help drive cultural change towards better data management. It has been written for anyone interested in RDM, or simply, good research practice.;

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An Intermediate Guide to SPSS Programming

An Intermediate Guide to SPSS Programming: Using Syntax for Data Management introduces the major tasks of data management and presents;

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Optimizing Data and New Methods for Efficient Knowledge Discovery and Information Resources Management

-management platforms. The continuous evaluation and evolution of these systems facilitate enhanced data reference and output. Optimizing Data and;

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Optimizing Data and New Methods for Efficient Knowledge Discovery and Information Resources Management

-management platforms. The continuous evaluation and evolution of these systems facilitate enhanced data reference and output. Optimizing Data and;

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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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DAMA-DMBOK Guide

Written by over 120 data management practitioners, this compilation of data management principals and best practices provides data;

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Data Management Analytics and Innovation

This book presents the latest findings in the areas of data management and smart computing, big data management, artificial intelligence;

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The Data Book

The Data Book: Collection and Management of Research Data is the first practical book written for researchers and research team members;

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The Data Book

The Data Book: Collection and Management of Research Data is the first practical book written for researchers and research team members;

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Research Data management - An European perspective

Based on case studies this book offers an insight in various European activities and practices in data management and their interaction;

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Data Management and Analysis

includes chapters on effective approaches for dealing with the inherent complexity within data management and analysis. This edited volume contains;

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DAMA-DMBOK

leverage that value. As our ability and desire to create and exploit data has increased, so too has the need for reliable data management practices;

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DAMA Guide to the Data Management Body of Knowledge (DAMA-DMBOK)

Written by over 120 data management practitioners, the DAMA Guide to the Data Management Body of Knowledge (DAMA-DMBOK) is the most;

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Large Scale and Big Data

architectures, big data analytics visualization, data management, analytics for vast amounts of unstructured data, clustering, classification, link;

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Large Scale and Big Data

architectures, big data analytics visualization, data management, analytics for vast amounts of unstructured data, clustering, classification, link;

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Big Data Management and Processing

, as well as legal compliance and quality management for Big Data. It covers In-Memory computing and In-Memory data grids, as well as co;

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Big Data Management and Processing

compliance and quality management for Big Data. It covers In-Memory computing and In-Memory data grids, as well as co-scheduling for high performance;

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