# Student Placement Performance Analysis and Prediction Systems at Higher Education Institutions in South India Region: A Machine Learning Approach with Ranked Features

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/student-placement-performance-analysis-and-prediction-systems-at-higher/

## Facts

| Field | Value |
| --- | --- |
| Author Names | K. Eswara Rao,Panduranga Vital Terlapu,S. Rakesh,G. Ramakrishna,Rambabu Pemula,D. V. Rao |
| Citations | 0 |
| DOI | 10.24840/2183-6493_0011-002_002916 |
| Fields | Computer Science,Decision Sciences,Social Sciences |
| Open Access | true |
| OA Status | diamond |
| OA URL | https://doi.org/10.24840/2183-6493_0011-002_002916 |
| OpenAlex ID | https://openalex.org/W4416191351 |
| Type | article |
| Year | 2025 |

## Paper authors

- [K. Eswara Rao](https://scholariq.org/researchers/k-eswara-rao/)

## Paper journal

- [U Porto Journal of Engineering](https://scholariq.org/journals/u-porto-journal-of-engineering/)

## Paper primary topic

- [Online Learning and Analytics](https://scholariq.org/topics/online-learning-and-analytics/)

## Paper topics

- [Online Learning and Analytics](https://scholariq.org/topics/online-learning-and-analytics/)
- [Academic integrity and plagiarism](https://scholariq.org/topics/academic-integrity-and-plagiarism/)

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Source: ScholarIQ — public research metadata, principally OpenAlex. See https://scholariq.org/sources/ for provenance and https://scholariq.org/methodology/ for what these figures mean.