# The Random Forests statistical technique: An examination of its value for the study of reading

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/the-random-forests-statistical-technique-an-examination-of-its-value-for-the/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Kazunaga Matsuki,Victor Kuperman,Julie A. Van Dyke |
| Citations | 170 |
| DOI | 10.1080/10888438.2015.1107073 |
| Fields | Computer Science |
| Open Access | true |
| OA Status | green |
| OA URL | https://www.ncbi.nlm.nih.gov/pmc/articles/4710485 |
| OpenAlex ID | https://openalex.org/W2230887875 |
| PMID | 26770056 |
| Type | article |
| Year | 2016 |

## Paper authors

- [Julie A. Van Dyke](https://scholariq.org/researchers/julie-a-van-dyke/)

## Paper primary topic

- [Advanced Text Analysis Techniques](https://scholariq.org/topics/advanced-text-analysis-techniques/)

## Paper topics

- [Advanced Text Analysis Techniques](https://scholariq.org/topics/advanced-text-analysis-techniques/)
- [Text and Document Classification Technologies](https://scholariq.org/topics/text-and-document-classification-technologies/)
- [Music and Audio Processing](https://scholariq.org/topics/music-and-audio-processing/)

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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.