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🌐 Entity
Data cleansing
Correcting inaccurate computer records
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📌 Topics
- Artificial Intelligence (1)
- Data Science (1)
- Human-Computer Interaction (1)
🏷️ Keywords
ConceptRM (1) · Alert Fatigue (1) · Reflection Modeling (1) · Data Cleaning (1) · Intelligent Agents (1) · Machine Learning (1) · False Alert Filtering (1) · Consensus-Based Learning (1)
📖 Key Information
Data cleansing or data cleaning is the process of identifying and correcting (or removing) corrupt, inaccurate, or irrelevant records from a dataset, table, or database. It involves detecting incomplete, incorrect, or inaccurate parts of the data and then replacing, modifying, or deleting the affected data. Data cleansing can be performed interactively using data wrangling tools, or through batch processing often via scripts or a data quality firewall.
📰 Related News (1)
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🇺🇸 ConceptRM: The Quest to Mitigate Alert Fatigue through Consensus-Based Purity-Driven Data Cleaning for Reflection Modelling
arXiv:2602.20166v1 Announce Type: cross Abstract: In many applications involving intelligent agents, the overwhelming volume of alerts (mostly false)...