---
title: Data Mining Model for Classification
url: https://www.ml-quant.com/papers/repec/spr-decisn-v-51-y-2024-i-1-d-10-1007-s40622-024-00378-z/
site: ML-Quant (https://www.ml-quant.com)
updated: 2026-09-26
license: Summaries CC BY 4.0; links go to the original sources
index: https://www.ml-quant.com/llms.txt
identifier: RePEc:spr:decisn:v:51:y:2024:i:1:d:10.1007_s40622-024-00378-z
source_url: https://econpapers.repec.org/scripts/redir.pf?u=http%3A%2F%2Flink.springer.com%2F10.1007%2Fs40622-024-00378-z%3Bh%3Drepec%3Aspr%3Adecisn%3Av%3A51%3Ay%3A2024%3Ai%3A1%3Ad%3A10.1007_s40622-024-00378-z
featured: 2024-06-05
citations: unknown
topic: Other
---


# Data Mining Model for Classification

A data mining-based research classification model effectively categorizes scientific literature, as demonstrated in digital workplace accessibility studies for the disabled.

- Source: https://econpapers.repec.org/scripts/redir.pf?u=http%3A%2F%2Flink.springer.com%2F10.1007%2Fs40622-024-00378-z%3Bh%3Drepec%3Aspr%3Adecisn%3Av%3A51%3Ay%3A2024%3Ai%3A1%3Ad%3A10.1007_s40622-024-00378-z
- Identifier: RePEc:spr:decisn:v:51:y:2024:i:1:d:10.1007_s40622-024-00378-z
- Released: 2024-06-05
- First featured: Quant Letter No. 52 (2024-06-05): https://www.ml-quant.com/issues/2024-06-05/
- Citations (Semantic Scholar): not tracked
- Published in: not yet
- Topic: Other

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