Relational Databases TRIZ Cases
- Threat Intelligence Analysis System for Data Deduplication
Security threat analysis system categorizes and prioritizes incoming intelligence data streams.
- Observability Metrics for Data Lake Usage Based on Access Logs
An observability metrics system analyzes data layer activity logs to generate usage metrics, resolving storage inefficiencies caused by continuous data dumping.
- Pattern-Based Multi-Stage Data Classification System
A pattern-based multi-stage system classifies data parameters using descriptive analysis before extracting values.
- Database Model Clustering via Edge Betweenness and Hub Nodes
Clustering database objects using edge betweenness values and degree calculations to identify linking and hub nodes for automated schema analysis.
- Data Abstraction System Using Arbitrary Identifiers for Security
A data abstraction system assigns arbitrary identifiers to items and transmits them with associated information.
- Non-transitive Multicomponent Score Item Selection
Segmenting scores into multiple components enables non-transitive relations, resolving transitive algorithm limitations in item matching.
- Heterogeneous Data Clustering via Grid-Based Segmentation
Grid-based segmentation reduces calculation complexity and preserves characteristic information when clustering massive, scattered multi-dimensional data.
- Management Domain for Dynamic QoS Policy Grouping
A management domain groups storage volumes to apply quality of service policies collectively, eliminating manual per-volume configuration.
- Hierarchical Taxonomy Classifier for Unlabeled Structured Datasets
A hierarchical taxonomy classifier converts unlabeled structured datasets into labeled corpora using machine learning clustering.
- Data Table Association Measurement via Field Importance
A data table identification system calculates field importance coefficients to determine association degrees.
- Relational Database Structure with Segmented Metadata Tables
A relational database structure separates data elements from structural definitions across four distinct tables to enable flexible storage management.
- Expert Peer Identification via Asset Interaction Centrality
Calculates worker centrality from weighted asset interaction data to identify expert peers, eliminating reliance on outdated static databases.
- Time Sequence Pattern Estimator for Load Balancing
A grouping unit estimates time sequence pattern counts to balance processing loads across parallel sub-groups.
- Content Presentation System Using Entity Scoring and Category Segmentation
A content presentation system organizes media items by calculating relevance scores for user-interaction entities.
- Distributed Machine Learning Engine for Siloed Data Privacy
Distributed DensiCube method segments predictive analytics across silos, eliminating complex ETL aggregation while preserving data privacy.
- Hierarchical Tag Presentation for Social Network Profiles
A presentation unit organizes user tags hierarchically to display detailed common attributes between viewing and viewed profiles.
- Graph Database Query Translation for Relationship Extraction
A graph database system translates object-oriented queries into edge traversals to extract complex data structures efficiently.
- Graph-Based Information Extraction via Joint Neural Modeling
Unified bidirectional LSTM and graph convolution network processes tasks simultaneously to eliminate cascading errors from separate modules.
- Database Storage Controller Block-Level QoS Classification
A storage controller classifies I/O requests into database-specific blocks to enforce tailored quality of service policies.
- Document-Specific Gazetteers for NER with Limited Annotation
Generating a document-specific gazetteer from entity tags improves named entity recognition performance without requiring extensive manual annotation.
- Database-Integrated ML Inference Engine for Real-Time Predictive Queries
A database-integrated machine learning inference engine translates standard SQL queries into parallel model serving requests.
- Personalized Menu Generation via Ingredient Substitution
A menu generation system categorizes ingredients as substitutable or non-substitutable to automatically identify alternatives based on user preferences.
- In-Database Data Cleansing with Independent Clean Store
A database cleansing module stores clean data independently from original records to maintain accuracy.
- Topic Modeling for User Interaction Data Dimensionality Reduction
A topic model reduces text dimensions to extract personal information from user interactions.
- Association Rule Mining for Mobile Network KPI Analysis
A method converts mobile network performance counters into key performance indicators and applies association rule mining to extract diagnostic patterns.
- Computational Link Analysis System for Latent Relationship Discovery
Link-oriented dataset organizes nodes and edges to reveal non-obvious associations through derived and induced connections.
- Automated Document Clustering via Similarity Scoring
A document processing system identifies a template by scoring similar object occurrences across scanned pages.
- Communication Record Grouping via Time and Location Analysis
System classifies communication records by analyzing time, location, and recipient data to reduce manual organization effort.
- Unsupervised Clustering via Temporal Stability Metrics
Temporal stability measures resolve inconsistent cluster quality and false positives by identifying static and dynamic patterns in continuous data.
- Similarity-Based Hashing for Malware Module Classification
Locality-sensitive hashing filters candidate software modules to detect zero-day malware variants without exhaustive binary analysis.
- Multimodal Learning for Entity Record Relationship Analysis
A multimodal learning model combines text and perceptual hash features to detect entity record similarities.
- Decision Support System Tracking Operator Interaction Indices
Automated interaction tracking eliminates manual review bottlenecks by computing objective interest indices that highlight unused information sources.
- Contact Relationship Scoring for Message Disambiguation
Calculates relationship scores from message interactions to identify related contacts and disambiguate references.
- Graph View Selection for Relational-Graph Database Queries
System precomputes and stores candidate graph views based on prior queries, reducing runtime computational overhead while managing memory constraints.
- Ink Use Estimation via Page Segmentation and Sampling
Segmented sampling reduces computational resources while maintaining measurement precision for comingled print jobs.