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Data Pattern Exploration.pdf

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Preview of Data Pattern Exploration
🔗 Source: ceur-ws.org
📊 Size: 770 KB
👤 Author: Lukasz Golab and Divesh Srivastava
⬇️ Downloads: 59

Summary

Data exploration methods extract multi-dimensional patterns from datasets with dimension and measure attributes to summarize common properties of tuples associated with particular measure attribute values. These patterns are categorized based on characteristics such as coverage, contrast, and information. Existing methods have pros, cons, and performance optimizations, and future research directions are suggested. Applications include explaining aggregate query results, analyzing outliers and data quality issues, and feature selection for explainable AI.

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Description

Data exploration methods extract multi-dimensional patterns from datasets with dimension and measure attributes to summarize common properties of tuples...

Technical Information

  • File Format: PDF
  • File Size: 770 KB
  • Pages: 5
  • Language: EN
  • Author: Lukasz Golab and Divesh Srivastava
  • Total Downloads: 59
  • Last Updated: 7 days ago

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This PDF document about Data Pattern Exploration provides comprehensive information and guidance. Whether you're a beginner or advanced user, this resource offers valuable insights into Data Pattern Exploration.

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