Information Processing Apparatus Procedure-Aware Candidate Value Extraction
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Solution Overview
Problem
Current data mining technologies cannot reflect the relationship between procedures when generating correlation rules, limiting their ability to provide candidate attribute values effectively.
Innovation Solution
An information processing apparatus and medium that includes a reception section for designating operation targets and a presentation section to display candidate values and procedure location information, allowing the reflection of relationships between procedures in attribute value extraction and presentation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If traditional correlation rule technology is used to generate correlation rules based on correlation coefficients between attributes, then the correlation height between attributes can be ensured, but the relationship between procedures to which attribute values belong cannot be reflected
Solution Approach 1:
The patent extends the traditional single-dimension correlation analysis (correlation coefficient between attributes) to a multi-dimensional analysis by incorporating procedure relationship information. It creates a composite evaluation that considers both the statistical correlation height and the procedural context in which attribute values appear, thereby preserving procedure relationship information while maintaining correlation precision.
Solution Approach 2:
The patent segments the attribute values according to their belonging procedures, creating procedure-specific attribute value groups. This segmentation allows the system to analyze and present candidate attribute values within the context of their procedural relationships, rather than treating all attribute values uniformly regardless of their procedural context.
2Measurement precision
If data mining technology focuses on correlation coefficient height, then statistical correlation can be maximized, but the practical applicability considering procedure relationships is reduced
Solution Approach 1:
The patent introduces procedure relationship information as an intermediary element that bridges the gap between statistical correlation data and practical application context. This intermediary layer processes and integrates procedure context with correlation coefficients, making the results more practically applicable while maintaining statistical rigor.
Solution Approach 2:
The patent changes the evaluation parameters from solely correlation coefficient to a composite parameter that includes both correlation coefficient and procedure relationship metrics. This parameter transformation enables the system to balance statistical precision with practical applicability by weighing both factors in candidate attribute value selection.
3Ease of operation
If candidate attribute values are presented without procedure location information, then the presentation simplicity is maintained, but the user cannot understand the context of extraction
Solution Approach 1:
The patent creates a simplified copy or representation of the procedure location information that can be presented alongside candidate attribute values without complicating the interface. This copied contextual information provides users with understanding of the extraction context while maintaining the simplicity of the presentation through efficient information representation.
Data Source
AI summary
An information processing apparatus includes a reception section that receives a designation of an item to be an operation target on a screen used to operate data on a work which includes plural procedures, and a presentation section that presents a candidate value for the item, which is the operation target, and locational information of a procedure, in which the candidate value is extracted, on the screen.