Interactive Probabilistic Model Visualization for Multidimensional Data
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Solution Overview
Problem
Current computing systems are inadequate in providing unified, interactive visualizations and explorations of probabilistic models, especially when dealing with multidimensional datasets, and struggle to handle non-deterministic decision-making scenarios involving multiple stakeholders.
Innovation Solution
The system processes multidimensional datasets using booting operation parameters to create an interactive representation of probabilistic models, allowing users to select and rank dimensions, infer probabilities, and integrate external recommendations for enhanced visualization and exploration.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If current computing systems are used to visualize probabilistic models, then basic visualization functionality is provided, but unified interactive visualization and exploration capability is inadequate
Solution Approach 1:
The system segments the visualization task by allowing users to select and rank specific dimensions from the multidimensional dataset, creating focused interactive views rather than attempting to display all dimensions simultaneously. This segmentation enables manageable interaction with complex probabilistic models.
Solution Approach 2:
The patent introduces a new dimension of interaction by enabling users to rank dimensions based on relevance, transforming static multidimensional data into dynamically ordered representations. This dimensional reorganization facilitates better visualization and exploration of probabilistic relationships.
2Measurement precision
If multidimensional datasets are processed to create probabilistic models, then comprehensive data analysis is achieved, but handling non-deterministic decision-making becomes more difficult
Solution Approach 1:
The system dynamically adapts to non-deterministic decision-making by allowing users to interactively adjust dimension rankings and selections. The probabilistic model updates in real-time based on user interactions, enabling flexible handling of uncertainty and multiple possible outcomes.
Solution Approach 2:
The patent implements feedback mechanisms where user selections and dimension rankings provide input for refining the probabilistic model. This iterative feedback loop helps manage non-deterministic scenarios by continuously updating probability distributions based on observed data and user interactions.
3Adaptability or versatility
If basic probabilistic model visualization is provided, then model representation is achieved, but unified interactive exploration and real-time updates are insufficient
Solution Approach 1:
The system performs preliminary processing of the multidimensional dataset to pre-compute probability distributions and model parameters. This preliminary action enables faster interactive exploration and real-time updates during user interaction, reducing response time while maintaining comprehensive exploration capabilities.
Data Source
AI summary
Embodiments facilitating data exploration in a computing environment by a processor. A multidimensional dataset may be received. The multidimensional dataset may be processed according to booting operation parameters. A visualization and exploration of an interactive representation of one or more probabilistic models for each one of a set of instances using the multidimensional dataset.