Nec corporation (20240119469). DATA GENERATION SYSTEM, DATA GENERATION METHOD, AND DATA GENERATION PROGRAM simplified abstract
Contents
- 1 DATA GENERATION SYSTEM, DATA GENERATION METHOD, AND DATA GENERATION PROGRAM
- 1.1 Organization Name
- 1.2 Inventor(s)
- 1.3 DATA GENERATION SYSTEM, DATA GENERATION METHOD, AND DATA GENERATION PROGRAM - 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 Original Abstract Submitted
DATA GENERATION SYSTEM, DATA GENERATION METHOD, AND DATA GENERATION PROGRAM
Organization Name
Inventor(s)
Noritaka Yamashita of Tokyo (JP)
DATA GENERATION SYSTEM, DATA GENERATION METHOD, AND DATA GENERATION PROGRAM - A simplified explanation of the abstract
This abstract first appeared for US patent application 20240119469 titled 'DATA GENERATION SYSTEM, DATA GENERATION METHOD, AND DATA GENERATION PROGRAM
Simplified Explanation
The patent application describes a system that extracts features from market and test data, selects complementary data, calculates complementary data, and generates integrated data.
- Feature extraction: Extracts a feature from market and test data.
- Data selection: Selects other data containing a feature corresponding to the extracted feature.
- Complementary data calculation: Calculates complementary data to complement the market or test data.
- Integrated data generation: Generates integrated data by combining the calculated complementary data with the market and test data.
Potential Applications
The technology described in the patent application could be applied in various industries such as finance, marketing, and data analysis.
Problems Solved
This technology helps in efficiently extracting, selecting, and integrating data to improve decision-making processes and data analysis.
Benefits
The system provides a streamlined process for feature extraction, data selection, and data integration, leading to more accurate and comprehensive data analysis.
Potential Commercial Applications
Potential commercial applications of this technology include financial forecasting, market analysis, and predictive modeling.
Possible Prior Art
One possible prior art for this technology could be existing data integration systems used in the finance and marketing industries.
Unanswered Questions
How does this technology handle large volumes of data efficiently?
The system may utilize parallel processing or distributed computing to handle large volumes of data efficiently.
Can this technology be integrated with existing data analysis tools?
Yes, this technology can be integrated with existing data analysis tools through APIs or data connectors.
Original Abstract Submitted
the feature extraction means extracts a feature of data from at least one data of market data and test data. the data selection means selects one or more other data containing a feature corresponding to the extracted feature of the one data. the complementary data calculating means calculates complementary data that complements the market data or the test data from the one data and the selected other data. the integrated data generation means generates integrated data that integrates the calculated complementary data with at least one or both of the market data and the test data.
