Probabilistic Record Hierarchy Assignment in Data Management
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Solution Overview
Problem
Current data management systems are unable to automatically determine which record hierarchy and group newly added records belong to, requiring manual user assignment, which is time-consuming and prone to human error, especially when handling bulk loads of records.
Innovation Solution
A computer-implemented method that uses probabilistic searches and machine learning to predict and assign records to defined hierarchies and groups in real time based on record relationships data, allowing for automatic management of record hierarchies and groups within the data management system.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If manual user assignment is used for record hierarchies and groups, then flexibility and control are maintained, but time consumption and human error increase significantly
Solution Approach 1:
The system performs probabilistic searches and machine learning analyses automatically to assign records to hierarchies and groups without requiring manual user intervention. The computer executes searches, identifies related record nodes, positions records in the hierarchy, and determines matching records autonomously, allowing the system to serve itself in the assignment process.
Solution Approach 2:
The patent replaces the mechanical manual assignment process with automated computational methods including probabilistic searches and machine learning algorithms. The computer system substitutes human operators by executing complex search and analysis operations that were previously performed manually, thereby eliminating time consumption and human error associated with manual assignment.
2Productivity
If automated probabilistic search and machine learning are implemented, then processing speed and automation are improved, but system complexity increases
Solution Approach 1:
The automated assignment process is divided into distinct sequential steps: performing probabilistic searches to identify related record nodes, positioning identified records in the hierarchy, identifying unrelated matching records, and determining final assignments. This segmentation of the complex automated process into manageable stages reduces system complexity while maintaining high processing speed and productivity.
Data Source
AI summary
Managing record hierarchies and record groups in a data management system is provided. A root record node is identified for a record hierarchy. A probabilistic search of a graph of the record hierarchy is performed to identify record nodes related to the root record node based on record relationships data. Identified record nodes related to the root record node are positioned as a level under the root record node in the record hierarchy. Any record nodes that are not related to the root record node but match a definition of the record hierarchy are identified. It is determined whether a set of record nodes unrelated to the root record node was identified. In response to determining that a set of record nodes unrelated to the root record node was not identified, it is determined that records matching the definition of the record hierarchy are positioned in the record hierarchy.