Visual Data Mining TRIZ Cases
- Searchable Query Graphs for Dynamic Entity Correlation Analysis
Automated analysis of social content builds searchable graphs that reveal entity-concept correlations while reducing manual effort and obsolescence.
- Zone-Based Data Governance with Automated Dataset Classification
Automated dataset zoning organizes raw, trusted, and refined data to cut manual governance effort and enforce policy compliance.
- Multi-Parent Tree Layout Using Phantom Node Alignment
A phantom parent node aligns multi-parent records so graphical trees keep even spacing, accurate links, and consistent layouts across displays.
- Context-Based Command Selection for Ambiguous GUI Inputs
Context data from user profiles and displayed content helps resolve ambiguous GUI terms and trigger the intended command with fewer errors.
- Integrated Data Fabric for Dynamic Process Mining
Automated data extraction and integrated data fabric enable dynamic process mining, prioritized insights, and process-change simulation.
- Query-Time Sessionization Using Sampled Event Reconstruction
Random session sampling reconstructs event sessions at query time, cutting compute overhead while preserving fast large-scale analysis.