Network Analytic Element Rule Management via Pattern Recognition

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Solution Overview

Problem

Managing large volumes of network-based analytic elements across websites and applications is challenging due to non-compliance with analytic rules, making it difficult to track and update these elements efficiently.

Innovation Solution

A computer system that analyzes network communications to identify patterns, creates and enforces rules for analytic elements, and updates existing rules to ensure compliance, thereby simplifying the management of analytic elements within network-connected software applications.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Productivity

If manual management methods are used for analytic elements, then flexibility in handling diverse elements is maintained, but the time and effort required to track and update elements increases significantly

Engineering Contradiction:

Improvespeed of gathering network analytic informationVSAvoidtime required to track and update analytic elements

Core Design Contradiction:

ProductivityVSLoss of time

Solution Approach 1:

The system enables self-service by automatically analyzing network communications, identifying analytic elements through pattern recognition, and updating rule sets without manual intervention. The computer system processes datasets, detects patterns, and autonomously manages analytic element tracking, eliminating the need for manual review and update processes.

Inventive Principle:

Principle #25Self-service

Solution Approach 2:

Manual mechanical processes of tracking and updating analytic elements are replaced with automated computer-based systems. The system uses algorithmic pattern recognition and automated rule generation to substitute human manual management, dramatically increasing processing speed and reducing time losses.

Inventive Principle:

Principle #28Mechanics substitution (Replace mechanical system)

2Reliability

If comprehensive rules are enforced for all analytic elements, then compliance and accuracy improve, but the complexity of managing and updating rule sets increases

Engineering Contradiction:

Improvecompliance of analytic elements with analytic rulesVSAvoidcomplexity of rule set management

Core Design Contradiction:

ReliabilityVSDevice complexity

Solution Approach 1:

The system extracts the complexity of rule management by separating rule generation from rule enforcement. The computer system automatically generates rules based on pattern recognition in network communications, then enforces these rules independently. This extraction allows comprehensive rule coverage without proportionally increasing management complexity.

Inventive Principle:

Principle #2Taking out (Extraction)

Solution Approach 2:

The system dynamically adjusts rule parameters based on analyzed network communication patterns. By changing rule parameters automatically through pattern recognition and analysis, the system maintains high compliance rates while adapting to varying analytic element characteristics, reducing the need for manual rule complexity management.

Inventive Principle:

Principle #35Parameter changes

3Productivity

If pattern recognition is used to identify analytic elements, then the speed of identification increases, but the precision of detecting non-compliant elements may decrease

Engineering Contradiction:

Improvespeed of identifying analytic elementsVSAvoidaccuracy of detecting non-compliant analytic elements

Core Design Contradiction:

ProductivityVSMeasurement precision

Solution Approach 1:

The system implements feedback loops where identified patterns and detected analytic elements are continuously analyzed and validated. The computer system uses feedback from pattern recognition results to refine identification accuracy, ensuring that speed gains from automated pattern matching do not compromise the precision of detecting non-compliant elements.

Inventive Principle:

Principle #23Feedback

Solution Approach 2:

The system performs preliminary pattern recognition and analysis on network communications before final compliance determination. By conducting preliminary identification through pattern matching, the system speeds up the initial detection phase while maintaining precision through subsequent validation steps that verify pattern-based identifications.

Inventive Principle:

Principle #10Preliminary action

Data Source

PatentUS10826802B2Managing network communication protocols

Publication Date: 2020.11.03 OBSERVEPOINT LLC

AI summary

A computer system for managing network communication protocols comprises computer-executable instructions that configure the computer system to receive a dataset of information for network-based analytic elements. The dataset can comprise information received by a network-based destination of the analytic elements. The analytic elements may have been executed within a network-connected software application. The system can also be configured to identify a pattern within the dataset of information. Based upon the identified pattern, the system can create an analytic element rule that is configured to describe the identified pattern on at least a subset of network-based analytic elements that are executable within the network-connected software application. Additionally, the system can be configured to store, within a digital database, the analytic element rule, wherein the digital database comprises a set of analytic element rules for managing analytic elements within the network-connected software application.