Educational Data Mining with R and Rattle
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| Title: | Educational Data Mining with R and Rattle |
|---|---|
| Description: | Educational Data Mining (EDM) is one of the emerging fields in the pedagogy and andragogy paradigm, it concerns the techniques which research data coming from the educational domain. EDM is a promising discipline which has an imperative impact on predicting students'academic performance. It includes the transformation of existing, and the innovation of new approaches derived from multidisciplinary spheres of influence such as statistics, machine learning, psychometrics, scientific computing etc.An archetype that is covered in this book is that of learning by example. The intention is that reader will easily be able to replicate the given examples and then adapt them to suit their own needs of teaching-learning. The content of the book is based on the research work undertaken by the authors on the theme'Mining of Educational Data for the Analysis and Prediction of Students'Academic Performance'. The basic know-how presented in this book can be treated as guide for educational data mining implementation using R and Rattle open source data mining tools..Technical topics discussed in the book include:• Emerging Research Directions in Educational Data Mining• Design Aspects and Developmental Framework of the System• Model Development - Building Classifiers• Educational Data Analysis: Clustering Approach |
| Authors: | R.S. Kamath, R.K. Kamat |
| Resource Type: | eBook. |
| Subjects: | Computer-assisted instruction, Education--Data processing, Human information processing |
| Categories: | SCIENCE / Energy |
| 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: Educational Data Mining with R and Rattle – Name: Abstract Label: Description Group: Ab Data: Educational Data Mining (EDM) is one of the emerging fields in the pedagogy and andragogy paradigm, it concerns the techniques which research data coming from the educational domain. EDM is a promising discipline which has an imperative impact on predicting students'academic performance. It includes the transformation of existing, and the innovation of new approaches derived from multidisciplinary spheres of influence such as statistics, machine learning, psychometrics, scientific computing etc.An archetype that is covered in this book is that of learning by example. The intention is that reader will easily be able to replicate the given examples and then adapt them to suit their own needs of teaching-learning. The content of the book is based on the research work undertaken by the authors on the theme'Mining of Educational Data for the Analysis and Prediction of Students'Academic Performance'. The basic know-how presented in this book can be treated as guide for educational data mining implementation using R and Rattle open source data mining tools..Technical topics discussed in the book include:• Emerging Research Directions in Educational Data Mining• Design Aspects and Developmental Framework of the System• Model Development - Building Classifiers• Educational Data Analysis: Clustering Approach – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22R%2ES%2E+Kamath%22">R.S. Kamath</searchLink><br /><searchLink fieldCode="AR" term="%22R%2EK%2E+Kamat%22">R.K. Kamat</searchLink> – Name: TypePub Label: Resource Type Group: TypPub Data: eBook. – Name: Subject Label: Subjects Group: Su Data: <searchLink fieldCode="DE" term="%22Computer-assisted+instruction%22">Computer-assisted instruction</searchLink><br /><searchLink fieldCode="DE" term="%22Education--Data+processing%22">Education--Data processing</searchLink><br /><searchLink fieldCode="DE" term="%22Human+information+processing%22">Human information processing</searchLink> – Name: SubjectBISAC Label: Categories Group: Su Data: <searchLink fieldCode="ZK" term="%22SCIENCE+%2F+Energy%22">SCIENCE / Energy</searchLink> |
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| RecordInfo | BibRecord: BibEntity: Classifications: – Code: 370.285 Scheme: ddc Type: prePub Languages: – Code: eng Text: English Subjects: – SubjectFull: Computer-assisted instruction Type: general – SubjectFull: Education--Data processing Type: general – SubjectFull: Human information processing Type: general Titles: – TitleFull: Educational Data Mining with R and Rattle Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: R.S. Kamath – PersonEntity: Name: NameFull: R.K. Kamat – PersonEntity: Name: NameFull: R.S. Kamath – PersonEntity: Name: NameFull: R.K. Kamat IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 01 Type: published Y: 2016 – D: 06 M: 03 Type: profile Y: 2020 Identifiers: – Type: isbn-print Value: 9788793379312 – Type: isbn-print Value: 9788770044738 – Type: isbn-electronic Value: 9788793379305 – Type: isbn-electronic Value: 9781000793635 – Type: isbn-electronic Value: 9781000796797 – Type: isbn-electronic Value: 9781003338024 Titles: – TitleFull: Educational Data Mining with R and Rattle Type: main |
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