Challenges and Applications of Data Analytics in Social Perspectives
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Challenges and Applications of Data Analytics in Social Perspectives

V. Sathiyamoorthi (Sona College of Technology, India) and Atilla Elci (Hasan Kalyoncu University, Turkey)
Release Date: December, 2020|Copyright: © 2021 |Pages: 324|DOI: 10.4018/978-1-7998-2566-1
ISBN13: 9781799825661|ISBN10: 1799825663|EISBN13: 9781799825685|ISBN13 Softcover: 9781799825678
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Description

With exponentially increasing amounts of data accumulating in real-time, there is no reason why one should not turn data into a competitive advantage. While machine learning, driven by advancements in artificial intelligence, has made great strides, it has not been able to surpass a number of challenges that still prevail in the way of better success. Such limitations as the lack of better methods, deeper understanding of problems, and advanced tools are hindering progress.

Challenges and Applications of Data Analytics in Social Perspectives provides innovative insights into the prevailing challenges in data analytics and its application on social media and focuses on various machine learning and deep learning techniques in improving practice and research. The content within this publication examines topics that include collaborative filtering, data visualization, and edge computing. It provides research ideal for data scientists, data analysts, IT specialists, website designers, e-commerce professionals, government officials, software engineers, social media analysts, industry professionals, academicians, researchers, and students.

Topics Covered

The many academic areas covered in this publication include, but are not limited to:

  • Artificial Intelligence
  • Cloud Computing
  • Collaborative Filtering
  • Consumer Behavior
  • Data Visualization
  • E-Commerce
  • E-Service
  • Edge Computing
  • Retrieval Systems
  • Social Media

Table of Contents and List of Contributors

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