Summary of Ai-driven Frameworks For Enhancing Data Quality in Big Data Ecosystems: Error_detection, Correction, and Metadata Integration, by Widad Elouataoui
AI-Driven Frameworks for Enhancing Data Quality in Big Data Ecosystems: Error_Detection, Correction, and Metadata Integration
by Widad Elouataoui
First submitted to arxiv on: 6 May 2024
Categories
- Main: Artificial Intelligence (cs.AI)
- Secondary: Databases (cs.DB)
GrooveSquid.com Paper Summaries
GrooveSquid.com’s goal is to make artificial intelligence research accessible by summarizing AI papers in simpler terms. Each summary below covers the same AI paper, written at different levels of difficulty. The medium difficulty and low difficulty versions are original summaries written by GrooveSquid.com, while the high difficulty version is the paper’s original abstract. Feel free to learn from the version that suits you best!
| Summary difficulty | Written by | Summary |
|---|---|---|
| High | Paper authors | High Difficulty Summary Read the original abstract here |
| Medium | GrooveSquid.com (original content) | Medium Difficulty Summary In this paper, researchers address the critical issue of managing big data quality in an era where accurate decision-making relies heavily on reliable data. They highlight the limitations of existing approaches, which often focus on specific metrics and neglect other aspects of data quality, resulting in inaccurate analyses. To bridge this gap, they propose intelligent, automated methods leveraging artificial intelligence (AI) for advanced data quality corrections. |
| Low | GrooveSquid.com (original content) | Low Difficulty Summary Big data has changed the way we make decisions! But have you ever wondered how to make sure that the data is good enough? Right now, there are many ways to check data quality, but most of them only look at a few things. This can lead to bad conclusions. Some experts want to find new ways to fix this problem using artificial intelligence (AI). They think this will help us be more accurate and make better decisions. |
