Knowledge Discovery in the Social Sciences : A Data Mining Approach
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| Title: | Knowledge Discovery in the Social Sciences : A Data Mining Approach |
|---|---|
| Description: | Knowledge Discovery in the Social Sciences helps readers find valid, meaningful, and useful information. It is written for researchers and data analysts as well as students who have no prior experience in statistics or computer science. Suitable for a variety of classes—including upper-division courses for undergraduates, introductory courses for graduate students, and courses in data management and advanced statistical methods—the book guides readers in the application of data mining techniques and illustrates the significance of newly discovered knowledge. Readers will learn to: • appreciate the role of data mining in scientific research • develop an understanding of fundamental concepts of data mining and knowledge discovery • use software to carry out data mining tasks • select and assess appropriate models to ensure findings are valid and meaningful • develop basic skills in data preparation, data mining, model selection, and validation • apply concepts with end-of-chapter exercises and review summaries |
| Authors: | Prof. Xiaoling Shu |
| Resource Type: | eBook. |
| Subjects: | Social sciences--Research--Data processing, Data mining |
| Categories: | SOCIAL SCIENCE / Methodology, SOCIAL SCIENCE / Research |
| 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: Knowledge Discovery in the Social Sciences : A Data Mining Approach – Name: Abstract Label: Description Group: Ab Data: Knowledge Discovery in the Social Sciences helps readers find valid, meaningful, and useful information. It is written for researchers and data analysts as well as students who have no prior experience in statistics or computer science. Suitable for a variety of classes—including upper-division courses for undergraduates, introductory courses for graduate students, and courses in data management and advanced statistical methods—the book guides readers in the application of data mining techniques and illustrates the significance of newly discovered knowledge. Readers will learn to: • appreciate the role of data mining in scientific research • develop an understanding of fundamental concepts of data mining and knowledge discovery • use software to carry out data mining tasks • select and assess appropriate models to ensure findings are valid and meaningful • develop basic skills in data preparation, data mining, model selection, and validation • apply concepts with end-of-chapter exercises and review summaries – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Prof%2E+Xiaoling+Shu%22">Prof. Xiaoling Shu</searchLink> – Name: TypePub Label: Resource Type Group: TypPub Data: eBook. – Name: Subject Label: Subjects Group: Su Data: <searchLink fieldCode="DE" term="%22Social+sciences--Research--Data+processing%22">Social sciences--Research--Data processing</searchLink><br /><searchLink fieldCode="DE" term="%22Data+mining%22">Data mining</searchLink> – Name: SubjectBISAC Label: Categories Group: Su Data: <searchLink fieldCode="ZK" term="%22SOCIAL+SCIENCE+%2F+Methodology%22">SOCIAL SCIENCE / Methodology</searchLink><br /><searchLink fieldCode="ZK" term="%22SOCIAL+SCIENCE+%2F+Research%22">SOCIAL SCIENCE / Research</searchLink> |
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| RecordInfo | BibRecord: BibEntity: Classifications: – Code: 300.2856312 Scheme: ddc Type: prePub Languages: – Code: eng Text: English Subjects: – SubjectFull: Social sciences--Research--Data processing Type: general – SubjectFull: Data mining Type: general Titles: – TitleFull: Knowledge Discovery in the Social Sciences : A Data Mining Approach Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Prof. Xiaoling Shu – PersonEntity: Name: NameFull: Prof. Xiaoling Shu IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 01 Type: published Y: 2020 – D: 03 M: 04 Type: profile Y: 2020 Identifiers: – Type: isbn-print Value: 9780520292307 – Type: isbn-print Value: 9780520339996 – Type: isbn-electronic Value: 9780520965874 Titles: – TitleFull: Knowledge Discovery in the Social Sciences : A Data Mining Approach Type: main |
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