OpenAlex
metadata only
CC BY 4.0
Uncertainty in big data analytics: survey, opportunities, and challenges
analyticsbig-databusiness-intelligencecomputer-sciencedata-analysisdata-sciencescalabilitysocial-media
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
- Can machines be uncertain?#78396
- Just Above the Line: Grant Panels, the Uncertainty Discount, and the Return of Patronage in the Language of Peer Review#688080
- Design and Implementation of a Serverless MapReduce Framework for Scalable Data Pipelines#238567
- Performance optimization and energy efficiency of big-data computing workflows#641346
- Artificial Intelligence and Big Data Integration: A Systematic Literature Review of Technological Trends, Ethical Challenges, and Future Directions#298176
Record · ID 335731
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