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Challenges and applications of data ...

Elçi, Atilla.

Challenges and applications of data analytics in social perspectives

Record Type:	Electronic resources : Monograph/item
Title/Author:	Challenges and applications of data analytics in social perspectivesV. Sathiyamoorthi and Atilla Elci, editors.
other author:	Sathiyamoorthi, V.,
Published:	Hershey, Pennsylvania :IGI Global,2020.
Description:	1 online resource (xvi, 324 p.)
Subject:	Data miningSocial aspects.
Online resource:	http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/978-1-7998-2566-1
ISBN:	9781799825685 (ebk.)

Challenges and applications of data analytics in social perspectives
Challenges and applications of data analytics in social perspectives[electronic resource] /V. Sathiyamoorthi and Atilla Elci, editors. - Hershey, Pennsylvania :IGI Global,2020. - 1 online resource (xvi, 324 p.)

Includes bibliographical references and index.

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: machine learning -- 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: enriching the knowledge of ayurveda from Indian medicinal herbs -- 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.

ISBN: 9781799825685 (ebk.)Subjects--Topical Terms:

572978
Data mining
--Social aspects.

LC Class. No.: QA76.9.D343 / C43 2020

Dewey Class. No.: 001.4/2

Challenges and applications of data analytics in social perspectives
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020 $a 9781799825661 (hbk.)
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245 0 0 $a Challenges and applications of data analytics in social perspectives $h [electronic resource] / $c V. Sathiyamoorthi and Atilla Elci, editors.
260 $a Hershey, Pennsylvania : $b IGI Global, $c 2020.
300 $a 1 online resource (xvi, 324 p.)
504 $a Includes bibliographical references and index.
505 0 $a 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: machine learning -- 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: enriching the knowledge of ayurveda from Indian medicinal herbs -- 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.
650 0 $a Data mining $x Social aspects. $3 572978
650 0 $a Quantitative research. $3 367894
650 0 $a Social media. $3 465899
700 1 $a Sathiyamoorthi, V., $d 1983- $3 900145
700 1 $a Elçi, Atilla. $3 618457
856 4 0 $u http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/978-1-7998-2566-1