17454202. VISUALIZATION AND EXPLORATION OF PROBABILISTIC MODELS FOR MULTIPLE INSTANCES simplified abstract (International Business Machines Corporation)

VISUALIZATION AND EXPLORATION OF PROBABILISTIC MODELS FOR MULTIPLE INSTANCES

Organization Name

International Business Machines Corporation

Inventor(s)

Pierpaolo Tommasi of Dublin (IE)

Stephane Deparis of Dublin (IE)

Alessandra Pascale of Phoenix Parks Racecourse (IE)

VISUALIZATION AND EXPLORATION OF PROBABILISTIC MODELS FOR MULTIPLE INSTANCES - A simplified explanation of the abstract

This abstract first appeared for US patent application 17454202 titled 'VISUALIZATION AND EXPLORATION OF PROBABILISTIC MODELS FOR MULTIPLE INSTANCES

Simplified Explanation

The patent application describes a method for data exploration in a computing environment using a processor. Here are the key points:

• The method involves receiving a multidimensional dataset.
• The dataset is processed based on specified booting operation parameters.
• The method enables the visualization and exploration of interactive representations of probabilistic models for each instance in the dataset.
• The interactive representations allow users to interact with and explore the probabilistic models.

Potential applications of this technology:

• Data analysis and exploration in various fields such as finance, healthcare, and marketing.
• Predictive modeling and forecasting based on the probabilistic models.
• Decision-making support systems that utilize the interactive representations of the probabilistic models.

Problems solved by this technology:

• Complex datasets can be difficult to analyze and understand. This technology provides a visual and interactive approach to explore and comprehend the data.
• Traditional methods of data analysis may not effectively capture the probabilistic nature of the data. The use of probabilistic models allows for a more accurate representation of the dataset.

Benefits of this technology:

• Improved data understanding and insights through interactive visualizations.
• Enhanced decision-making capabilities based on the probabilistic models.
• Time and cost savings in data analysis by automating certain processes.

Original Abstract Submitted

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.