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Advances in data mining and database management (ADMDM) book series.
Challenges and applications of data analytics in social perspectives / V. Sathiyamoorthi, Atilla Elci. — 1 online resource. — (Advances in data mining and database management (ADMDM) book series). — <URL:http://elib.fa.ru/ebsco/2681758.pdf>.

Record create date: 9/25/2019

Subject: Data mining — Social aspects.; Quantitative research.; Social media.; Data mining — Social aspects.; Quantitative research.; Social media.

Collections: EBSCO

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""This book focuses on prevailing challenges in data analytics and its application on social media like Facebook, Twitter, blogs, e-commerce, and e-service"--Provided by publisher"--.

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Table of Contents

  • Cover
  • Title Page
  • Copyright Page
  • Book Series
  • Table of Contents
  • Detailed Table of Contents
  • Preface
  • Acknowledgment
  • Chapter 1: A Comprehensive Review of Professional Network Impact on Education and Career
  • Chapter 2: A Comprehensive Survey of Data Mining Techniques in Disease Prediction
  • Chapter 3: Analysis of Crime Report by Data Analytics Using Python
  • Chapter 4: Analysis on Indian Stock Market Prediction Using Deep Learning Models
  • Chapter 5: Application of Data Analytics in Emerging Fields
  • Chapter 6: Architecture for Analyzing Agriculture Data Using Data Analytics
  • Chapter 7: Automated Soil Residue Levels Detecting Device With IoT Interface
  • Chapter 8: Biofeedback-Based Mental Health Software and Its Statistical Analysis
  • Chapter 9: Social Media Content Analysis
  • Chapter 10: Challenges and Applications of Recommender Systems in E-Commerce
  • Chapter 11: Language Classification and Recognition From Audio Using Deep Belief Network
  • Chapter 12: Machine Learning Approach
  • Chapter 13: Machine Learning for Business Analytics
  • Chapter 14: A Comprehensive Study of Data Analytics in Social Perspectives
  • Chapter 15: Patient Monitoring System Using Internet of Things
  • Compilation of References
  • About the Contributors
  • Index

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