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Data Science and Digital Business

This book combines the analytic principles of digital business and data science with business practice and big data. The interdisciplinary;

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Principles of Big Data

to reach at the decision-making conclusions. The book Principles of Big Data takes the readers through the various aspects of big data and;

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Big Data Management

This book focuses on the analytic principles of business practice and big data. Specifically, it provides an interface between the main;

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Principles of Big Data

Principles of Big Data helps readers avoid the common mistakes that endanger all Big Data projects. By stressing simple, fundamental;

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Ethics of Big Data

This book contains a framework for productive discussion and thinking about ethics and Big Data in business environments. With the;

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Knowledge Discovery in Big Data from Astronomy and Earth Observation

geoscience in the context of applications, techniques and key principles of big data. Machine learning and parallel computing are increasingly;

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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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Big Data War

big data competition, based on actual cases of companies. Having established the execution and performance-oriented big data methodology based;

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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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Big Data Concepts, Theories, and Applications

This book covers three major parts of Big Data: concepts, theories and applications. Written by world-renowned leaders in Big Data, this;

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Principles and Practice of Clinical Research

opportunities associated with big data. Covering a vast number of topics and practical advice for both novice and advanced clinical investigators, this;

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Principles and Methods for Data Science

Principles and Methods for Data Science, Volume 43 in the Handbook of Statistics series, highlights new advances in the field, with;

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Big-Data Analytics for Cloud, IoT and Cognitive Computing

The definitive guide to successfully integrating social, mobile, Big-Data analytics, cloud and IoT principles and technologies The main;

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Management in the Era of Big Data

emerging developments in technologies, applications, and trends related to management's needs in this Big Data era. -Dr. Jay Liebowitz;

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Big Data Analysis for Bioinformatics and Biomedical Discoveries

Demystifies Biomedical and Biological Big Data Analyses Big Data Analysis for Bioinformatics and Biomedical Discoveries provides a;

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Big Data Analysis for Bioinformatics and Biomedical Discoveries

Demystifies Biomedical and Biological Big Data Analyses Big Data Analysis for Bioinformatics and Biomedical Discoveries provides a;

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Big Data Management

recipes for managing big data. It addresses data security, privacy, controls and life cycle management offering modern principles and open source;

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Principles and Practice of Big Data

Principles and Practice of Big Data: Preparing, Sharing, and Analyzing Complex Information, Second Edition updates and expands on the;

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Big Data over Networks

information processing over networks and examines the crucial interaction between big data and its associated communication, social and biological;

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Big Data and Law

This book is a legal practice guide for the collection, storage and analysis of personal and other data in Big Data applications. It;

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Big Data in Cognitive Science

, and realistic introduction to big data - and to show how it may greatly advance our understanding of the principles of human memory;

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Big Data in Cognitive Science

, and realistic introduction to big data - and to show how it may greatly advance our understanding of the principles of human memory;

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Big Data Architect's Handbook

A comprehensive end-to-end guide that gives hands-on practice in big data and Artificial Intelligence Key Features Learn to build and run a;

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Data-Intensive Computing

characteristics of likely approaches that future data-intensive problems will require. Chapters cover general principles and methods for designing such;

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Process Safety and Big Data

Process Safety and Big Data discusses the principles of process safety and advanced information technologies. It explains how these;

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Principles of Managerial Statistics and Data Science

Introduces readers to the principles of managerial statistics and data science, with an emphasis on statistical literacy of business;

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Big Data in Psychological Research

information than ever before on human cognition, emotion, attitudes, and behavior. Big Data in Psychological Research addresses the opportunities and;

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