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Machine Learning Paradigms

parts: (1) Data Analytics in the Medical, Biological and Signal Sciences, (2) Data Analytics in Social Studies and Social Interactions, (3) Data;

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Meta-Analytics

Meta-Analytics: Consensus Approaches and System Patterns for Data Analysis presents an exhaustive set of patterns for data science to use;

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Data Analytics for the Social Sciences

Data Analytics for the Social Sciences is an introductory, graduate-level treatment of data analytics for social science. It features;

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Data Analytics for the Social Sciences

Data Analytics for the Social Sciences is an introductory, graduate-level treatment of data analytics for social science. It features;

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Social Data Analytics

Social Data Analytics is the first practical guide for professionals who want to employ social data for analytics and business;

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Creating Value With Social Media Analytics

media. It provides the theories, tools, and creates a roadmap to leveraging social media data for business intelligence purposes. Real world;

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Data Analytics in Biomedical Engineering and Healthcare

in health sciences and biomedical data. The book is useful for those working with big data analytics in biomedical research, medical industries, and;

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Analytics and Knowledge Management

as focuses on techniques and tools used for social media analytics. Data visualization has a critical role in the advancement of modern;

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Data-Driven Mining, Learning and Analytics for Secured Smart Cities

for smart cities. This book aims to attract works on multidisciplinary research spanning across the computer science and engineering;

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Big Data Analytics in Cognitive Social Media and Literary Texts

addresses the security and privacy of big data in social media, and the last focuses on the literary text as the literary data in Big Data Analytics;

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Databases in Networked Information Systems

. The papers are organized in topical section such as big data and cloud computing; astronomical data management; business data analytics and;

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Getting Started with Business Analytics

for integrating business with analytics. The second part presents the technologies underlying business analytics: data mining and data;

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Analytics and Data Science

technologies in various domains are still evolving. For instance, the explosive growth in big data and social media analytics requires examination;

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Classification, (Big) Data Analysis and Statistical Learning

, marketing, education, social sciences, medicine, environmental sciences and the pharmaceutical industry. In addition, it describes the basic;

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SAP Predictive Analytics The Comprehensive Guide Rheinwerk Publishing

and the Automated Modeler to the Data Manager and Social Network Analysis. Get predictive analysis working for you. Highlights include;

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Practical Text Analytics: Maximizing the Value of Text Data

This book introduces text analytics as a valuable method for deriving insights from text data. Unlike other text analytics publications;

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Practical Text Analytics: Maximizing the Value of Text Data

This book introduces text analytics as a valuable method for deriving insights from text data. Unlike other text analytics publications;

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Big Data Analytics

This book constitutes the refereed proceedings of the 6th International Conference on Big Data analytics, BDA 2018, held in Warangal, India;

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AI and Machine Learning Paradigms for Health Monitoring System

toward the researchers aspiring to learn and apply intelligent data analytics techniques. The first part covers AI, machine learning and data;

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Intelligence in Big Data Technologies Beyond the Hype

of knowledge which promotes ideas for solving problems of the society through cutting-edge big-data technologies. The essays featured in this;

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Social Media Analytics Strategy

founders of social media analytics companies. What You'll Learn Get a clear view of the available data for social media;

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Big Data Analytics for Internet of Things

BIG DATA ANALYTICS FOR INTERNET OF THINGS Discover the latest developments in IoT Big Data with a new resource from established and;

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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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Data Analytics for Intelligent Transportation Systems

visualizations, tactics on the planning process, and how to evaluate alternative data analytics for different connected transportation applications;

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Data Mining and Learning Analytics

, Humanities, Health Sciences, Linguistics, and Physical Sciences education that serve to highlight the successes and some of the limitations of data;

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Trends and Applications in Knowledge Discovery and Data Mining

selected from 179 submissions. The workshops affiliated with PAKDD 2014 include: Data Analytics for Targeted Healthcare, DANTH; Data Mining and;

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Social Media Data Mining and Analytics

generate amazing results for their businesses. Social Media Data Mining and Analytics isn't just another book on the business case for social media;

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