18235248. INFORMATION PROCESSING DEVICE, PERSONAL IDENTIFICATION DEVICE, INFORMATION PROCESSING METHOD, AND STORAGE MEDIUM simplified abstract (NEC Corporation)
Contents
- 1 INFORMATION PROCESSING DEVICE, PERSONAL IDENTIFICATION DEVICE, INFORMATION PROCESSING METHOD, AND STORAGE MEDIUM
- 1.1 Organization Name
- 1.2 Inventor(s)
- 1.3 INFORMATION PROCESSING DEVICE, PERSONAL IDENTIFICATION DEVICE, INFORMATION PROCESSING METHOD, AND STORAGE MEDIUM - A simplified explanation of the abstract
- 1.4 Simplified Explanation
- 1.5 Potential Applications
- 1.6 Problems Solved
- 1.7 Benefits
- 1.8 Original Abstract Submitted
INFORMATION PROCESSING DEVICE, PERSONAL IDENTIFICATION DEVICE, INFORMATION PROCESSING METHOD, AND STORAGE MEDIUM
Organization Name
Inventor(s)
INFORMATION PROCESSING DEVICE, PERSONAL IDENTIFICATION DEVICE, INFORMATION PROCESSING METHOD, AND STORAGE MEDIUM - A simplified explanation of the abstract
This abstract first appeared for US patent application 18235248 titled 'INFORMATION PROCESSING DEVICE, PERSONAL IDENTIFICATION DEVICE, INFORMATION PROCESSING METHOD, AND STORAGE MEDIUM
Simplified Explanation
The patent application describes an information processing device that can classify sequential data into different classes based on indicators calculated for each element of the data.
- The device acquires a series of elements from the sequential data.
- It calculates indicators for each element, indicating which class the element belongs to, considering other elements.
- The indicators of all elements are integrated to calculate an overall indicator for the sequential data.
- Based on the integrated indicator, the device classifies the sequential data into one of the available classes.
Potential Applications
This technology can have various applications in fields where sequential data classification is required, such as:
- Natural language processing: Classifying sentences or paragraphs into different categories based on their content.
- Time series analysis: Categorizing data points in a time series based on patterns or trends.
- Financial analysis: Classifying financial data sequences into different market conditions or investment strategies.
Problems Solved
The information processing device addresses the following problems:
- Efficient classification: The device provides a systematic approach to classify sequential data into different classes, reducing the manual effort required.
- Consideration of context: By considering multiple elements together, the device can better understand the context and make more accurate classifications.
- Integration of indicators: The integrated indicator provides a comprehensive view of the sequential data, allowing for better decision-making.
Benefits
The use of this technology offers several benefits:
- Automation: The device automates the process of classifying sequential data, saving time and effort.
- Accuracy: By considering multiple elements and integrating indicators, the device can achieve more accurate classifications.
- Scalability: The technology can handle large amounts of sequential data, making it suitable for real-time or big data applications.
Original Abstract Submitted
Provided is an information processing device including: an acquisition unit that sequentially acquires a plurality of elements included in sequential data; a first calculation unit that calculates, for each of the plurality of elements, indicators each indicating which of a plurality of classes is appropriate for corresponding element to belong to, in consideration of two or more elements among the plurality of elements; a second calculation unit that calculates, by integrating the indicators of the plurality of elements, an integrated indicator indicating which of the plurality of classes is appropriate for the sequential data to belong to; and a classification unit that classifies the sequential data into one of the plurality of classes based on the integrated indicator.
