Event Prediction System Using Electronic Feed Segmentation
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Solution Overview
Problem
In networked computing environments like cloud computing, it is challenging to aggregate and utilize vast amounts of information from various sources effectively to predict and prevent potentially harmful events, leading to potential losses.
Innovation Solution
A system that accesses electronic feeds, issues queries based on search criteria for potential adverse events, determines if the results meet predetermined criteria, and implements remedial actions to mitigate risks before the event occurs.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If multiple electronic feeds are accessed and monitored to predict harmful events, then the ability to predict and prevent adverse events is improved, but the complexity of the system increases
Solution Approach 1:
The system segments the monitoring task by dividing electronic feeds into different categories (news feeds, social media feeds, technical feeds) and processing them through specialized query modules. Each feed type can be monitored with appropriate search criteria specific to that source, making the overall complex system manageable through modular segmentation of information sources and processing pathways.
Solution Approach 2:
The patent introduces an intermediary event prediction system that acts as a mediator between raw electronic feeds and decision-making processes. This intermediary layer aggregates, filters, and analyzes information from multiple feeds before presenting predictions, thereby managing system complexity while maintaining reliable event detection through a structured intermediate processing stage.
2Speed
If real-time analysis of electronic feeds is performed to identify potential threats, then the speed of threat detection is improved, but the computational resources required increase
Solution Approach 1:
The system performs preliminary actions by pre-defining search criteria, query parameters, and event thresholds before monitoring begins. Electronic feeds are pre-filtered using predetermined criteria, and potential threat patterns are established in advance. This preliminary configuration reduces real-time computational burden while maintaining fast threat detection through pre-processed information streams.
Solution Approach 2:
The system applies partial action by selectively monitoring only specific portions of electronic feeds that are most relevant to potential threats. Rather than analyzing every piece of information in real-time, the system focuses computational resources on high-risk areas identified through predetermined search criteria, achieving fast threat detection with reduced resource consumption by concentrating analysis on critical information streams.
3Measurement precision
If predetermined event criteria are set to detect potential harmful events, then the precision of event detection is improved, but the risk of false positives increases
Solution Approach 1:
The system merges multiple detection criteria and information sources to validate potential events. Rather than relying on a single predetermined criterion that may generate false positives, the system combines results from multiple feed types and applies multiple search criteria simultaneously. An event is confirmed only when it meets thresholds across several independent detection pathways, improving precision while reducing false positives through cross-validation.
Solution Approach 2:
The system implements feedback mechanisms where detection results are continuously evaluated and used to refine predetermined event criteria. When false positives occur, the feedback loop adjusts thresholds and search parameters to reduce future false alarms while maintaining detection precision. This adaptive feedback process optimizes the balance between precise event detection and minimizing harmful false positive impacts.
Data Source
AI summary
Embodiments of the present invention relate to an approach for using electronic feeds (e.g., online news feeds, social media resources/websites, etc.) to predict potentially harmful events and take preemptive measures/actions to minimize and/or avoid loss. In a typical embodiment, a set of electronic feeds (e.g., news feeds and/or social networking website feeds) is accessed. A query is then issued against the set of feeds based on a set of search criteria pertaining to a possible event having a potential to adversely affect the networked computing environment. A set of results is received in a computer memory medium of the networked computing environment. It may then be determined whether at least one property of the set of results (e.g., a quantity of ‘hits’) meets one or more predetermined event criteria (e.g., a predetermined threshold).