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of domains including data science, data analytics and biomedical engineering. Deep Learning for Data Analytics: Foundations, Biomedical Applications;
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in Predictive Analytics to develop analytics use cases for many of Cisco's most sophisticated customers. In Computer Networking Data Analytics, Garrett;
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This book includes original unpublished contributions presented at the International Conference on Data Analytics and Management (ICDAM;
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benefits associated with data analytics. However, for leaders in defense organizations-either government or industry-accessible use cases are not;
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presents viable solutions. This book is ideally designed for researchers, computer scientists, engineers, automobile industry professionals, IT;
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presents viable solutions. This book is ideally designed for researchers, computer scientists, engineers, automobile industry professionals, IT;
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in Computer Science & Engineering (ICICSE 2020), held at Guru Nanak Institutions, Hyderabad, India, on 28-29 August 2020. It covers the latest;
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selected from 179 submissions. The workshops affiliated with PAKDD 2014 include: Data Analytics for Targeted Healthcare, DANTH; Data Mining and;
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form of massive streams, which are mined for a variety of purposes. Social Network Data Analytics covers an important niche in the social;
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form of massive streams, which are mined for a variety of purposes. Social Network Data Analytics covers an important niche in the social;
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options for action and competitive advantage or value. This makes it the most desirable and valuable part of big data science. Driven by the;
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submissions. They are organized in topical sections on Mobile Cloud Computing; Big Data Analytics; Secure Networks. Five papers in this book are;
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databases for generating, representing and analyzing graphical data. As a wide variety of algorithms have been developed to analyze and compare;
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This volume is a step-by-step guide to implementing predictive data analytics in human resource management (HRM). It demonstrates how to;
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This volume is a step-by-step guide to implementing predictive data analytics in human resource management (HRM). It demonstrates how to;
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of cybersecurity. It examines the process of collecting and organizing data as well as reviewing various tools for text analysis and data analytics and;
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Big data is presenting challenges to cybersecurity. For an example, the Internet of Things (IoT) will reportedly soon generate a staggering;
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with an emphasis on predictive analytics. Given the booming interest in analytics and data science, this book is timely and informative. It;
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machine learning and data mining methodologies in the wireless networks domain. Mining Over Air describes the problems and their solutions for;
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The book offers a timely snapshot of neural network technologies as a significant component of big data analytics platforms. It promotes;
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and regression problems Who this book is forMastering Predictive Analytics with scikit-learn and TensorFlow is for data analysts, software;
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that focus on the practical application of data sciences and analytic tools for actual projects in the field. It enables professional in the;
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Big data and predictive analytics have become extremely relevant to all business domains, especially for the position of CEOs. Predictive;
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you in building simple and complex neural networks through practical and creative solutions for solving real-world data problems. Starting;
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businesses, making it an increasingly necessary skill for every manager and for all functions across an organisation. Data Analytics for;
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This book explores some of the emerging scientific and technological areas in which the need for data analytics arises and is likely to;
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This book aims at showing how big data sources and data analytics can play an important role in sustainable mobility. It is especially;
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