Challenges and Applications of Data Analytics in Social Perspectives
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| Title: | Challenges and Applications of Data Analytics in Social Perspectives |
|---|---|
| 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. |
| Authors: | V. Sathiyamoorthi, Atilla Elçi |
| Resource Type: | eBook. |
| Subjects: | Data mining--Social aspects, Quantitative research, Social media |
| Categories: | COMPUTERS / Data Science / Data Visualization, COMPUTERS / Data Science / General, COMPUTERS / Machine Theory |
| Database: | eBook Collection (EBSCOhost) |
| FullText | Links: – Type: ebook-pdf – Type: ebook-epub Text: Availability: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Challenges and Applications of Data Analytics in Social Perspectives – Name: Abstract Label: Description Group: Ab Data: 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. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22V%2E+Sathiyamoorthi%22">V. Sathiyamoorthi</searchLink><br /><searchLink fieldCode="AR" term="%22Atilla+Elçi%22">Atilla Elçi</searchLink> – Name: TypePub Label: Resource Type Group: TypPub Data: eBook. – Name: Subject Label: Subjects Group: Su Data: <searchLink fieldCode="DE" term="%22Data+mining--Social+aspects%22">Data mining--Social aspects</searchLink><br /><searchLink fieldCode="DE" term="%22Quantitative+research%22">Quantitative research</searchLink><br /><searchLink fieldCode="DE" term="%22Social+media%22">Social media</searchLink> – Name: SubjectBISAC Label: Categories Group: Su Data: <searchLink fieldCode="ZK" term="%22COMPUTERS+%2F+Data+Science+%2F+Data+Visualization%22">COMPUTERS / Data Science / Data Visualization</searchLink><br /><searchLink fieldCode="ZK" term="%22COMPUTERS+%2F+Data+Science+%2F+General%22">COMPUTERS / Data Science / General</searchLink><br /><searchLink fieldCode="ZK" term="%22COMPUTERS+%2F+Machine+Theory%22">COMPUTERS / Machine Theory</searchLink> |
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| RecordInfo | BibRecord: BibEntity: Classifications: – Code: 001.42 Scheme: ddc Type: prePub Languages: – Code: eng Text: English Subjects: – SubjectFull: Data mining--Social aspects Type: general – SubjectFull: Quantitative research Type: general – SubjectFull: Social media Type: general Titles: – TitleFull: Challenges and Applications of Data Analytics in Social Perspectives Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: V. Sathiyamoorthi – PersonEntity: Name: NameFull: Atilla Elçi – PersonEntity: Name: NameFull: V. Sathiyamoorthi – PersonEntity: Name: NameFull: Atilla Elçi IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 01 Type: published Y: 2021 – D: 18 M: 11 Type: profile Y: 2020 Identifiers: – Type: isbn-print Value: 9781799825661 – Type: isbn-electronic Value: 9781799825685 – Type: isbn-electronic Value: 9781799825692 Titles: – TitleFull: Challenges and Applications of Data Analytics in Social Perspectives Type: main |
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