17957127. SYSTEMS AND METHODS FOR PREDICTING DIFFERENTIATING FEATURES simplified abstract (Capital One Services, LLC)
Contents
SYSTEMS AND METHODS FOR PREDICTING DIFFERENTIATING FEATURES
Organization Name
Inventor(s)
Aamer Charania of Flower Mound TX (US)
Abhisek Jana of Herndon VA (US)
Jiankun Liu of Flower Mound TX (US)
Behrouz Saghafi Khadem of Frisco TX (US)
SYSTEMS AND METHODS FOR PREDICTING DIFFERENTIATING FEATURES - A simplified explanation of the abstract
This abstract first appeared for US patent application 17957127 titled 'SYSTEMS AND METHODS FOR PREDICTING DIFFERENTIATING FEATURES
Simplified Explanation
The patent application describes systems and methods for predicting differentiating features from tabular data for two different populations. Here is a simplified explanation of the abstract:
- Receiving first and second data entries
- Generating graphs based on the data entries
- Determining corresponding nodes in the graphs
- Generating graph embeddings for each graph
- Processing the graph embeddings with a machine learning model to identify features indicative of differences between the data entries
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- Potential Applications
This technology could be applied in various fields such as healthcare, finance, marketing, and social sciences to analyze and compare data from different populations.
- Problems Solved
This technology helps in identifying key features that differentiate two populations, which can aid in decision-making processes, targeted marketing strategies, and understanding underlying patterns in data.
- Benefits
- Efficient analysis of tabular data for different populations - Identification of distinguishing features between populations - Utilization of machine learning for predictive analytics
- Potential Commercial Applications
"Predictive Feature Analysis Technology for Population Comparison" could be used in industries such as healthcare analytics, market research firms, financial institutions, and social media platforms for targeted advertising.
- Possible Prior Art
One potential prior art could be a similar system or method used in academic research for comparing data between different groups or populations.
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- Unanswered Questions
- How does this technology handle large datasets?
The patent application does not specify how the system manages and processes large volumes of tabular data for predicting differentiating features between populations.
- What are the limitations of this technology in terms of data types?
The patent application does not address the potential constraints or challenges when dealing with diverse types of tabular data structures and formats.
Original Abstract Submitted
Systems and methods for predicting differentiating features from tabular data for two different populations. In some aspects, the systems and methods provide for receiving first data entries and second data entries and generating a first graph based on a data entry from the first data entries and a second graph based on a data entry from the second data entries. A first node in the first graph is determined to correspond to a second node in the second graph. A first set of graph embeddings is generated based on the first graph. A second set of graph embeddings is generated based on the second graph. Using a machine learning model, the first set of graph embeddings and the second set of graph embeddings are processed to identify at least one feature indicative of a difference between the first data entries and the second data entries.
