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Crowdsourced Data Management

This book provides an overview of crowdsourced data management. Covering all aspects including the workflow, algorithms and research;

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Crowdsourced Data Management

This book provides an overview of crowdsourced data management. Covering all aspects including the workflow, algorithms and research;

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Crowdsourcing of Sensor Cloud Services

unfolds new horizons to service-oriented computing towards the direction of crowdsourced sensor data based applications, in the broader context;

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Crowdsourcing of Sensor Cloud Services

unfolds new horizons to service-oriented computing towards the direction of crowdsourced sensor data based applications, in the broader context;

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Intelligent Crowdsourced Testing

to process the data generated during the crowdsourced testing process, to facilitate the management of crowdsourced testing, and to improve;

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Improving Flood Prediction Assimilating Uncertain Crowdsourced Data into Hydrologic and Hydraulic Models

reliability and varying accuracy in time and space, crowdsourced observations have not been widely integrated in hydrological and/or hydraulic models;

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Leveraging the Wisdom of the Crowd in Software Testing

effective defect management in crowdsourced testing and considers both the business and engineering aspects of crowdsourced testing. The book;

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Leveraging the Wisdom of the Crowd in Software Testing

effective defect management in crowdsourced testing and considers both the business and engineering aspects of crowdsourced testing. The book;

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Semantic Modeling and Enrichment of Mobile and WiFi Network Data

Data and its corresponding Context Data Cloud Ontology, which is a crowdsourced dataset combining static location data with dynamic context;

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Game Theory for Data Science

Intelligent systems often depend on data provided by information agents, for example, sensor data or crowdsourced human computation;

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DAMA-DMBOK

The Data Management Body of Knowledge (DAMA-DMBOK2) presents a comprehensive view of the challenges, complexities, and value of effective;

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Handbook of Computational Social Science - Vol 1 & Vol 2

advances in data science, statistical modeling, and machine learning. It covers a range of key issues, including the management of big data;

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Geocomputation

of the 'big data' revolution, of 'smart cities', of crowdsourced data, and of associated applications for viewing and managing data;

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Modern Data Strategy

This book contains practical steps business users can take to implement data management in a number of ways, including data governance;

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Data Management in the Semantic Web

Effective and efficient data management is vital to today's applications. Traditional data management mainly focuses on information;

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Healthcare Data Analytics and Management

Healthcare Data Analytics and Management help readers disseminate cutting-edge research that delivers insights into the analytic tools;

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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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Web Age Information Management

management, caching and replication, cloud computing, content management, crowdsourcing data and information quality, data management for mobile and;

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Principles of Data Management

Data is a valuable corporate asset and its effective management can be vital to an organisation's success. This professional guide covers;

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Relational Management and Display of Site Environmental Data

of Site Environmental Data begins with an overview of site data management concepts, then progresses through relational data management theory;

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Managing Data Quality

Data is an increasingly important business asset and enabler for organisational activities. Data quality is a key aspect of data management;

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Multi-Domain Master Data Management

Multi-Domain Master Data Management delivers practical guidance and specific instruction to help guide planners and practitioners;

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Data Management Technologies and Applications

This book constitutes the thoroughly refereed proceedings of the 8th International Conference on Data Management Technologies and;

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Database Systems for Advanced Applications

submissions. The papers cover the following topics: big data management, indexing and query processing, graph data management, spatio-temporal data;

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Meeting the Challenges of Data Quality Management

Meeting the Challenges of Data Quality Management outlines the foundational concepts of data quality management and its;

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Data Management

Now in a completely updated and revised Fourth Edition, this highly readable book emphasizes the core data management skills needed to;

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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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