Event Processing Apparatus Using Feedback Ratios for Definition Suitability
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Solution Overview
Problem
Existing event processing techniques fail to determine the suitability of event definitions and often result in unnecessary actions being performed or not being performed, as they do not effectively assess whether extracted events are meaningful, leading to inefficiencies in data extraction and user actions.
Innovation Solution
An event processing method and apparatus that analyze the ratio of detected events and event feedback groups performing specific actions to evaluate the suitability of event definitions, using thresholds to determine whether event definitions are meaningful and requiring corrections to the event determination parameters when necessary.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If conventional event extraction techniques are used to detect predefined events from data, then event detection capability is provided, but the suitability of event definitions cannot be determined leading to unnecessary actions being performed or not being performed
Solution Approach 1:
The patent implements feedback mechanisms by analyzing the ratio of detected events to event feedback groups performing specific actions. This feedback loop allows the system to evaluate whether event definitions are meaningful and to determine if corrections to event determination parameters are needed, thereby resolving the contradiction between providing event detection capability and determining event definition suitability.
2Productivity
If event extraction is performed without assessing event meaningfulness, then processing speed is maintained, but inefficiencies occur due to unnecessary actions being performed or not being performed
Solution Approach 1:
The patent applies preliminary action by evaluating event definition suitability before executing actions based on detected events. The system analyzes the ratio of events to feedback groups and determines whether event definitions are meaningful in advance, preventing unnecessary actions from being performed and thus improving processing efficiency while reducing time loss.
3Adaptability or versatility
If predefined events are extracted without user feedback analysis, then simple extraction is achieved, but the system cannot adapt to newly defined necessary events in varied work environments
Solution Approach 1:
The patent uses feedback analysis of user actions to improve event definition adaptability. By analyzing the ratio of detected events to event feedback groups and determining whether events are meaningful, the system can identify newly defined necessary events and adjust event determination parameters accordingly, enabling adaptation to varied work environments without excessive complexity.
Data Source
AI summary
An event processing method includes receiving an event from an event source and identifying an event population and non-event population based on the received event, such that the event population includes a plurality of events and the non-event population includes a plurality of non-events. The method further includes identifying an event feedback group from the events of the identified event population, such that the event feedback group identifies a number of events of the identified event population that have performed a required operation, and determining a ratio of event feedback, the ratio of the event feedback being a ratio of the number of events identified by the event feedback group to a number of the events of the identified event population.