Sparse-Tree Triage Data for Efficient Pattern-Matching Evaluation

Solution Overview

Problem

Conventional technologies produce large, cumbersome structured triage reports that are inefficient for training and evaluating pattern matching engines, requiring significant storage space and time, and fail to effectively exercise the full range of logical possibilities in the triage engine.

Innovation Solution

A sparse-tree generator processes structured triage reports to generate a compact, formatted sparse-tree of data that can be used as input to pattern matching engines, preserving the layout and diagnostic signatures for efficient testing and evaluation.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Reliability

If conventional technologies produce structured triage reports, then comprehensive failure evidence is captured, but storage space and processing time increase significantly

Engineering Contradiction:

Improvefailure evidence captureVSAvoidstorage space

Core Design Contradiction:

ReliabilityVSQuantity of substance

Solution Approach 1:

The patent extracts only the essential failure evidence and diagnostic signatures from the full structured triage report, separating useful information from redundant data. This allows retention of critical failure patterns while discarding unnecessary contextual details, thereby reducing storage requirements without compromising reliability of failure analysis.

Inventive Principle:

Principle #2Taking out (Extraction)

Solution Approach 2:

The patent segments the triage report into hierarchical levels, retaining only the most relevant sections (failure evidence, diagnostic signatures, key error messages) while discarding redundant contextual information. This segmentation enables selective preservation of critical data structures, reducing overall data volume while maintaining analytical reliability.

Inventive Principle:

Principle #1Segmentation

2Reliability

If conventional technologies produce structured triage reports, then comprehensive failure evidence is captured, but processing time increases significantly

Engineering Contradiction:

Improvefailure evidence captureVSAvoidprocessing time

Core Design Contradiction:

ReliabilityVSLoss of time

Solution Approach 1:

The patent extracts only the essential failure evidence and diagnostic signatures from the full structured triage report, separating useful information from redundant data. This allows retention of critical failure patterns while discarding unnecessary contextual details, thereby reducing storage requirements without compromising reliability of failure analysis.

Inventive Principle:

Principle #2Taking out (Extraction)

Solution Approach 2:

The patent performs preliminary processing of triage reports to pre-extract and pre-format essential failure evidence into a compact representation. This preliminary action prepares the data in advance for subsequent pattern matching engine processing, reducing the time required for analysis while maintaining comprehensive failure evidence capture.

Inventive Principle:

Principle #10Preliminary action

3Adaptability or versatility

If conventional technologies use full structured triage reports for training, then comprehensive data is available, but pattern matching engine evaluation is inefficient

Engineering Contradiction:

Improvedata comprehensivenessVSAvoidtraining efficiency

Core Design Contradiction:

Adaptability or versatilityVSProductivity

Solution Approach 1:

The patent extracts only the essential failure evidence and diagnostic signatures from the full structured triage report, separating useful information from redundant data. This allows retention of critical failure patterns while discarding unnecessary contextual details, thereby reducing storage requirements without compromising reliability of failure analysis.

Inventive Principle:

Principle #2Taking out (Extraction)

Solution Approach 2:

The patent transforms the data representation by changing parameters such as data format, structure, and organization. The full triage reports are converted into a condensed format that preserves essential failure patterns while removing redundant information, making the data more suitable for efficient pattern matching engine training and evaluation.

Inventive Principle:

Principle #35Parameter changes

Data Source

PatentUS20260030084A1Generating a sparse-tree of triage data

Publication Date: 2026.01.29 DELL PROD LP

AI summary

Methods, system, and non-transitory processor-readable storage medium for a sparse-tree generator are provided herein. An example method includes receiving a structured triage report as input, by a sparse-tree generator, where the structured triage report is generated by a pattern matching engine using, as input, raw triage data. The structured triage report comprises a plurality of files arranged in a directory structure and has an associated structured triage report format. The sparse-tree generator processes the structured triage report to generate as output a sparse-tree of data, where the sparse-tree of data is formatted as suitable input to the pattern matching engine.