Open Source Software for Statistical Analysis of Big Data : Emerging Research and Opportunities
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| Title: | Open Source Software for Statistical Analysis of Big Data : Emerging Research and Opportunities |
|---|---|
| Description: | With the development of computing technologies in today's modernized world, software packages have become easily accessible. Open source software, specifically, is a popular method for solving certain issues in the field of computer science. One key challenge is analyzing big data due to the high amounts that organizations are processing. Researchers and professionals need research on the foundations of open source software programs and how they can successfully analyze statistical data. Open Source Software for Statistical Analysis of Big Data: Emerging Research and Opportunities provides emerging research exploring the theoretical and practical aspects of cost-free software possibilities for applications within data analysis and statistics with a specific focus on R and Python. Featuring coverage on a broad range of topics such as cluster analysis, time series forecasting, and machine learning, this book is ideally designed for researchers, developers, practitioners, engineers, academicians, scholars, and students who want to more fully understand in a brief and concise format the realm and technologies of open source software for big data and how it has been used to solve large-scale research problems in a multitude of disciplines. |
| Authors: | Richard S. Segall, Gao Niu |
| Resource Type: | eBook. |
| Subjects: | Statistics--Data processing, Open source software, Big data |
| Categories: | COMPUTERS / Software Development & Engineering / General, COMPUTERS / Computer Engineering, COMPUTERS / Mathematical & Statistical Software |
| 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: Open Source Software for Statistical Analysis of Big Data : Emerging Research and Opportunities – Name: Abstract Label: Description Group: Ab Data: With the development of computing technologies in today's modernized world, software packages have become easily accessible. Open source software, specifically, is a popular method for solving certain issues in the field of computer science. One key challenge is analyzing big data due to the high amounts that organizations are processing. Researchers and professionals need research on the foundations of open source software programs and how they can successfully analyze statistical data. Open Source Software for Statistical Analysis of Big Data: Emerging Research and Opportunities provides emerging research exploring the theoretical and practical aspects of cost-free software possibilities for applications within data analysis and statistics with a specific focus on R and Python. Featuring coverage on a broad range of topics such as cluster analysis, time series forecasting, and machine learning, this book is ideally designed for researchers, developers, practitioners, engineers, academicians, scholars, and students who want to more fully understand in a brief and concise format the realm and technologies of open source software for big data and how it has been used to solve large-scale research problems in a multitude of disciplines. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Richard+S%2E+Segall%22">Richard S. Segall</searchLink><br /><searchLink fieldCode="AR" term="%22Gao+Niu%22">Gao Niu</searchLink> – Name: TypePub Label: Resource Type Group: TypPub Data: eBook. – Name: Subject Label: Subjects Group: Su Data: <searchLink fieldCode="DE" term="%22Statistics--Data+processing%22">Statistics--Data processing</searchLink><br /><searchLink fieldCode="DE" term="%22Open+source+software%22">Open source software</searchLink><br /><searchLink fieldCode="DE" term="%22Big+data%22">Big data</searchLink> – Name: SubjectBISAC Label: Categories Group: Su Data: <searchLink fieldCode="ZK" term="%22COMPUTERS+%2F+Software+Development+%26+Engineering+%2F+General%22">COMPUTERS / Software Development & Engineering / General</searchLink><br /><searchLink fieldCode="ZK" term="%22COMPUTERS+%2F+Computer+Engineering%22">COMPUTERS / Computer Engineering</searchLink><br /><searchLink fieldCode="ZK" term="%22COMPUTERS+%2F+Mathematical+%26+Statistical+Software%22">COMPUTERS / Mathematical & Statistical Software</searchLink> |
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| RecordInfo | BibRecord: BibEntity: Classifications: – Code: 005.7 Scheme: ddc Type: prePub Languages: – Code: eng Text: English Subjects: – SubjectFull: Statistics--Data processing Type: general – SubjectFull: Open source software Type: general – SubjectFull: Big data Type: general Titles: – TitleFull: Open Source Software for Statistical Analysis of Big Data : Emerging Research and Opportunities Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Richard S. Segall – PersonEntity: Name: NameFull: Gao Niu – PersonEntity: Name: NameFull: Richard S. Segall – PersonEntity: Name: NameFull: Gao Niu IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 01 Type: published Y: 2020 – D: 20 M: 02 Type: profile Y: 2020 Identifiers: – Type: isbn-print Value: 9781799827689 – Type: isbn-electronic Value: 9781799827702 – Type: isbn-electronic Value: 9781799827719 Titles: – TitleFull: Open Source Software for Statistical Analysis of Big Data : Emerging Research and Opportunities Type: main |
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