Springer Nature OA
open access
CC BY 4.0
An Explainable Generative AI Framework for Multi-Criteria Employee Churn Analysis
Conceptio Open Archive
Analyze & explore related research in Conceptio
Connect this record directly into your research workflow or AI agent. Explore citations across open repositories, query full text, and export structured proof bundles.
This document is indexed with metadata only: full text is not available in the archive for this record. Open the official source ↗
Related documents
- Chomat Anakh on Job#488436
- Comparative Analysis of Data Mining Techniques for Customer Segmentation and Anomaly Detection#624461
- Generative Responsible AI Data Evaluation Schema (GRAIDES) for AI Assurance in Local Government#300045
- Employee turnover prediction using machine learning based methods#646231
- AI Contextual Measurement for Recovering Individual and Group-Level Effects: Validation Against Survey Measures and an Occupational Application#632828
Record · ID 299177
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Bring this data into your agent: Connect via MCP or API · 20 free credits to start · no card required
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive