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Entity Information Life Cycle for Big Data

Entity Information Life Cycle for Big Data walks you through the ins and outs of managing entity information so you can successfully;

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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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Mining Latent Entity Structures

The big data era is characterized by an explosion of information in the form of digital data collections, ranging from scientific;

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Big Data Management

and challenges. While open source solutions to store big data, like Hadoop, offer platforms for exploring value and insight from big data;

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Big Data

Big Data: Principles and Paradigms captures the state-of-the-art research on the architectural aspects, technologies, and applications;

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Data Warehousing in the Age of Big Data

, and new architecture options, workloads, and integration techniques for Big Data and the data warehouse. Part 3 deals with data governance;

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Big Data Analytics and Intelligence

diagnostics. Big Data Analytics and Intelligence: A Perspective for Health Care focuses on various areas of health care, ranging from nutrition to;

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Mobile Big Data

This book provides a comprehensive picture of mobile big data starting from data sources to mobile data driven applications. Mobile Big;

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Mobile Big Data

This book provides a comprehensive picture of mobile big data starting from data sources to mobile data driven applications. Mobile Big;

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Understanding Information

, biology, neuroscience, computer science, artificial intelligence, the Internet, big data, information society, or philosophy. Together, these;

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Foundations for Architecting Data Solutions

Big Data Solution Architecture provides everyone from CIOs and COOs to lead architects and lead developers with the fundamental concepts;

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Entity Resolution and Information Quality

Association for Information and Data Quality {IAIDQ). The book includes chapters that cover the principles of entity resolution and the principles;

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Big Data for Qualitative Research

of qualitative methods and analysis for big data, including text mining, sentiment analysis, information and data visualization, netnography, follow-the;

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Big Data for Qualitative Research

of qualitative methods and analysis for big data, including text mining, sentiment analysis, information and data visualization, netnography, follow-the;

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Intelligent Systems in Big Data, Semantic Web and Machine Learning

for researchers and doctoral students in data analysis, Semantic Web, big data, machine learning, computer engineering and related disciplines;

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Analysis of Integrated Data

The advent of Big Data has brought with it a rapid diversification of data sources, requiring analysis that accounts for the fact that;

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Analysis of Integrated Data

The advent of Big Data has brought with it a rapid diversification of data sources, requiring analysis that accounts for the fact that;

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Asset Data Integrity Is Serious Business

overlooked. The data that we have about our assets collectively creates information, provides for accurate analysis and facilitates sound business;

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Life-Cycle Assessment of Semiconductors

of semiconductor devices. A lack of reliable semiconductor LCA data has been a major challenge to evaluation of the potential environmental benefits;

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Life-Cycle Decisions for Biomedical Data

them. Life Cycle Decisions for Biomedical Data examines and assesses approaches and considerations for forecasting costs for preserving;

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Advanced Hybrid Information Processing

today, it is now to develop deeper and wider use of hybrid information processing, especially information processing for big data. There are;

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Advanced Hybrid Information Processing

today, it is now to develop deeper and wider use of hybrid information processing, especially information processing for big data. There are;

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Enterprise Information Management in Practice

, information security strategy, big data strategy, and cloud strategy. Manage information like a pro, to achieve much better financial results for the;

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Ambidextrous Organizations in the Big Data Era: The Role of Information Systems

Addressing the effect of big data analytics-capable information systems on organizational ambidexterity, this book investigates how these;

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Fundamentals of Big Data Network Analysis for Research and Industry

Fundamentals of Big Data Network Analysis for Research and Industry Hyunjoung Lee, Institute of Green Technology, Yonsei University;

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Translating Diverse Environmental Data into Reliable Information

Translating Diverse Environmental Data into Reliable Information: How to Coordinate Evidence from Different Sources is a resource for;

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Data Science Solutions on Azure

in the industry, and help drive the transformation of organizations into a knowledge and data-driven entity. It provides an end-to-end;

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