18273422. DATA CLASSIFICATION DEVICE, DATA CLASSIFICATION METHOD, AND PROGRAM RECORDING MEDIUM simplified abstract (NEC Corporation)
DATA CLASSIFICATION DEVICE, DATA CLASSIFICATION METHOD, AND PROGRAM RECORDING MEDIUM
Organization Name
Inventor(s)
DATA CLASSIFICATION DEVICE, DATA CLASSIFICATION METHOD, AND PROGRAM RECORDING MEDIUM - A simplified explanation of the abstract
This abstract first appeared for US patent application 18273422 titled 'DATA CLASSIFICATION DEVICE, DATA CLASSIFICATION METHOD, AND PROGRAM RECORDING MEDIUM
Simplified Explanation
The data classification device described in the abstract is a system that acquires data, classifies it using a classification model, and outputs display data based on the classification results. Here are some key points to understand this innovation:
- Acquisition unit: Acquires data to be classified as input data.
- Data classification unit: Uses a classification model to estimate the classification of the input data.
- Output unit: Outputs display data showing an image divided into groups based on a group division standard determined by the confidence level of the classification model, as well as an image for changing the group division standard.
- Input unit: Acquires data for changing the group division standard.
- Potential Applications
This technology can be applied in various fields such as image recognition, data analysis, and pattern recognition.
- Problems Solved
This technology helps in efficiently classifying and organizing large amounts of data, making it easier to analyze and interpret.
- Benefits
The benefits of this technology include improved data classification accuracy, faster data processing, and enhanced visualization of classified data.
- Potential Commercial Applications
Potential commercial applications of this technology include data analytics software, image recognition systems, and automated classification tools.
- Possible Prior Art
One possible prior art for this technology could be existing data classification systems used in machine learning and artificial intelligence applications.
- Unanswered Questions
- How does this technology handle data with high levels of complexity?
This article does not provide information on how the system deals with highly complex data sets. Further research or experimentation may be needed to understand its capabilities in such scenarios.
- Can this technology be integrated with existing data management systems?
The article does not mention the compatibility of this technology with other data management systems. It would be important to investigate whether it can be seamlessly integrated with existing infrastructure.
Original Abstract Submitted
This data classification device comprises an acquisition unit, a data classification unit, an output unit, and an input unit. The acquisition unit acquires data to be classified as input data. The data classification unit uses a classification model to estimate the classification of the input data. The output unit outputs display data displaying: an image divided into a plurality of groups based on a group division standard based on the confidence level when the classification model estimates the classification of the input data; and an image for changing the group division standard. The input unit acquires the data for changing the group division standard as an input result. Moreover, the output unit outputs display data in which the classified data is divided into the plurality of groups based on the group division standard indicated by the input result.
