Latest Research in Data Quality and Management

Top Research Topics in Data Quality and Management

• Data Quality and Management — 3 papers
• Human-Computer Interaction — 2 papers
• Ethics and Social Impacts of AI — 2 papers
• Big Data and Business Intelligence — 2 papers
• Imbalanced Data Classification Techniques — 1 papers
• Text and Document Classification Technologies — 1 papers
• Advanced Software Engineering Methodologies — 1 papers
• Machine Learning — 1 papers
• Advanced Graph Neural Networks — 1 papers
• Information Retrieval and Search Behavior — 1 papers

Highest-Cited Papers

1. Fine-Tuning of a LLM for Public Complaint Classification and Routing for Resolution
2. VisTR: Visualizations as Representations for Time-series Table Reasoning
3. Before the Model: Why Datasets and Data Representation Define What Machine Learning Can Learn
4. Before the Model: Why Datasets and Data Representation Define What Machine Learning Can Learn
5. Robust and accurate multimodal information extraction from tobacco box labels using MLDP
6. The Data Readiness Gap: How Incomplete Data Infrastructure Blocks AI in Production
7. The Data Readiness Gap: How Incomplete Data Infrastructure Blocks AI in Production
8. Beyond Validation - A Conceptual Framework and Qualitative Review of AI-Driven Semantic Adjustment Mechanisms for Master Data Harmonization and Agricultural Process Data Integration
9. Hindsight: Similarity-Based Analytics for Mars Rover Drive Retrieval
10. Comparing Solver Representations for Analyzing Cardinality-Based Feature Models
11. Cluster and then Embed: A Modular Approach for Visualization
12. A novel pipeline and benchmark for automated technical datasheets processing
13. Entity matching for recurring engineering components: a bottom-up enabler for reference architecture reconstruction
14. GraphRAG for engineering diagrams: ChatP & ID enables LLM interaction with P& IDs
15. AsyncMultiQuery TSF-RAG: Improving Retrieval Robustness in Spanish Technical Reports for Tailings Storage Facility Physical Stability Evaluation
16. A Model-based Testing Technique for Amazon Lex Task-based Chatbots