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Challenges and Applications of Data Analytics in Social Perspectives

of problems, and advanced tools are hindering progress. Challenges and Applications of Data Analytics in Social Perspectives provides innovative;

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Integration of Cloud Computing with Internet of Things - Foundations, Analytics, and Applications

The book aims to integrate the aspects of IoT, Cloud computing and data analytics from diversified perspectives. The book also plans to;

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Text Analytics

Focusing on methodologies, applications and challenges of textual data analysis and related fields, this book gathers selected and peer;

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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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Big Data Analytics

sections named: big data analytics: vision and perspectives; financial data analytics and data streams; web and social media data; big data systems;

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Analytics and Knowledge Management

obtained through user feedback. One chapter introduces the definitions and processes of social media analytics from different perspectives as well;

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Big Data Analytics for Entrepreneurial Success

Analytics for Entrepreneurial Success provides emerging perspectives on the theoretical and practical aspects of data analysis tools and techniques;

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Data Science & Business Analytics

perspectives on how big data and business analytics are increasingly essential in better decision making. This edited work explores the;

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Intelligent Data-Analytics for Condition Monitoring

Intelligent Data-Analytics for Condition Monitoring: Smart Grid Applications looks at intelligent and meaningful uses of data required;

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Big Data Analytics for Internet of Things

, challenges in IoT data analytics, demand for IoT data analytics, computing platforms, analytical tools, privacy, and security. The distinguished;

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Human-Centered Social Media Analytics

, and lifestyles from human information in unconstrained visual data. Topics and features: includes perspectives from an international and;

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The Practical Guide to HR Analytics

, interpretations, and capabilities of HR analytics. HR Analytics provides a practical approach to using data to solve real HR challenges in organizations;

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Big Data Analytics Methods

data scientists insight on how to overcome challenges and avoid common pitfalls and traps in data analytics. The book offers;

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Data Science and Data Analytics

useful applications Provides many challenges and opportunities in data science and data analytics that help researchers to identify;

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Machine Learning and Big Data Analytics Paradigms

This book is intended to present the state of the art in research on machine learning and big data analytics. The accepted chapters covered;

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Getting Started with Business Analytics

, social, and operational analytics. Each chapter in this part incorporates hands-on projects based on publicly available data. Helping you make;

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Fog Data Analytics for IoT Applications

This book discusses the unique nature and complexity of fog data analytics (FDA) and develops a comprehensive taxonomy abstracted into a;

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Teaching Data Analytics

perspectives of faculty and practitioners. By emphasizing the connection of data analytics to organizational success, it reviews the position;

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Teaching Data Analytics

perspectives of faculty and practitioners. By emphasizing the connection of data analytics to organizational success, it reviews the position;

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Data Analytics Applications in Education

The abundance of data and the rise of new quantitative and statistical techniques have created a promising area: data analytics. This;

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Data Analytics Applications in Education

The abundance of data and the rise of new quantitative and statistical techniques have created a promising area: data analytics. This;

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Big Data Analytics

Big Data Analytics: Applications in Business and Marketing explores the concepts and applications related to marketing and business as well;

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Big Data Analytics

Big Data Analytics: Applications in Business and Marketing explores the concepts and applications related to marketing and business as well;

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IoT-Based Data Analytics for the Healthcare Industry

. The book also explores challenges, opportunities, and future research directions, and discusses the data collection and pre-processing stages;

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Data Analytics

security and associated legal aspects. They show in particular how to apply big data in improving urban mobility, discuss important challenges;

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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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Data Mining and Learning Analytics

discusses the insights, challenges, issues, expectations, and practical implementation of data mining (DM) within educational mandates. Initial;

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