Putting Social Media and Networking Data in Practice for Education Planning Prediction and Recommendation is popular PDF and ePub book, written by Mehmet Kaya in 2019-12-27, it is a fantastic choice for those who relish reading online the Science genre. Let's immerse ourselves in this engaging Science book by exploring the summary and details provided below. Remember, Putting Social Media and Networking Data in Practice for Education Planning Prediction and Recommendation can be Read Online from any device for your convenience.

Putting Social Media and Networking Data in Practice for Education Planning Prediction and Recommendation Book PDF Summary

This book focusses on recommendation, behavior, and anomaly, among of social media analysis. First, recommendation is vital for a variety of applications to narrow down the search space and to better guide people towards educated and personalized alternatives. In this context, the book covers supporting students, food venue, friend and paper recommendation to demonstrate the power of social media data analysis. Secondly, this book treats behavior analysis and understanding as important for a variety of applications, including inspiring behavior from discussion platforms, determining user choices, detecting following patterns, crowd behavior modeling for emergency evacuation, tracking community structure, etc. Third, fraud and anomaly detection have been well tackled based on social media analysis. This has is illustrated in this book by identifying anomalous nodes in a network, chasing undetected fraud processes, discovering hidden knowledge, detecting clickbait, etc. With this wide coverage, the book forms a good source for practitioners and researchers, including instructors and students.

Detail Book of Putting Social Media and Networking Data in Practice for Education Planning Prediction and Recommendation PDF

Putting Social Media and Networking Data in Practice for Education  Planning  Prediction and Recommendation
  • Author : Mehmet Kaya
  • Release : 27 December 2019
  • Publisher : Springer Nature
  • ISBN : 9783030336981
  • Genre : Science
  • Total Page : 245 pages
  • Language : English
  • PDF File Size : 17,7 Mb

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