18453105. INFORMATION PROCESSING APPARATUS AND INFORMATION PROCESSING METHOD simplified abstract (Kioxia Corporation)
Contents
- 1 INFORMATION PROCESSING APPARATUS AND INFORMATION PROCESSING METHOD
- 1.1 Organization Name
- 1.2 Inventor(s)
- 1.3 INFORMATION PROCESSING APPARATUS AND INFORMATION PROCESSING METHOD - A simplified explanation of the abstract
- 1.4 Simplified Explanation
- 1.5 Potential Applications
- 1.6 Problems Solved
- 1.7 Benefits
- 1.8 Potential Commercial Applications
- 1.9 Possible Prior Art
- 1.10 Unanswered Questions
- 1.11 Original Abstract Submitted
INFORMATION PROCESSING APPARATUS AND INFORMATION PROCESSING METHOD
Organization Name
Inventor(s)
Osamu Torii of Minato Tokyo (JP)
Shinichiro Manabe of Yokohama Kanagawa (JP)
INFORMATION PROCESSING APPARATUS AND INFORMATION PROCESSING METHOD - A simplified explanation of the abstract
This abstract first appeared for US patent application 18453105 titled 'INFORMATION PROCESSING APPARATUS AND INFORMATION PROCESSING METHOD
Simplified Explanation
The patent application describes an information processing apparatus that uses regression analysis to extract important variables influencing a target variable.
- The processing circuitry acquires both objective and explanatory variables for regression analysis.
- Sparse modeling is used to identify the most influential explanatory variables on the objective variable.
- Two regression equations are utilized to extract the most important variables.
Potential Applications
This technology could be applied in various fields such as finance, marketing, and healthcare for predictive modeling and data analysis.
Problems Solved
This technology helps in identifying the key variables that impact a target variable, leading to more accurate predictions and insights.
Benefits
- Improved accuracy in predictive modeling - Efficient data analysis - Better decision-making based on identified influential variables
Potential Commercial Applications
"Predictive Modeling and Data Analysis Technology for Enhanced Decision-Making"
Possible Prior Art
One possible prior art could be traditional regression analysis techniques used in data analysis and predictive modeling.
Unanswered Questions
How does the processing circuitry handle large datasets efficiently?
The patent application does not provide details on how the processing circuitry manages large datasets for regression analysis.
Are there any limitations to the sparse modeling approach mentioned in the patent application?
The patent application does not discuss any potential limitations or drawbacks of using sparse modeling for variable extraction.
Original Abstract Submitted
An information processing apparatus comprising processing circuitry. The processing circuitry is configured to acquire objective variables and explanatory variables which are regression analysis targets, extract a plurality of first explanatory variables having a high degree of influence on the objective variable from among the explanatory variables by sparse modeling using a first regression equation, and extract a second explanatory variable having a high degree of influence on the plurality of first explanatory variables by sparse modeling using a second regression equation.
