View source for 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==

[[:Category:International Business Machines Corporation|International Business Machines Corporation]]


[[Category:International Business Machines Corporation]]

==Inventor(s)==

[[:Category:Pierpaolo Tommasi of Dublin (IE)|Pierpaolo Tommasi of Dublin (IE)]][[Category:Pierpaolo Tommasi of Dublin (IE)]]

[[:Category:Stephane Deparis of Dublin (IE)|Stephane Deparis of Dublin (IE)]][[Category:Stephane Deparis of Dublin (IE)]]

[[:Category:Alessandra Pascale of Phoenix Parks Racecourse (IE)|Alessandra Pascale of Phoenix Parks Racecourse (IE)]][[Category: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.



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