18274449. INFORMATION PROCESSING APPARATUS, CLASSIFICATION METHOD, AND STORAGE MEDIUM simplified abstract (NEC Corporation)
Contents
- 1 INFORMATION PROCESSING APPARATUS, CLASSIFICATION METHOD, AND STORAGE MEDIUM
- 1.1 Organization Name
- 1.2 Inventor(s)
- 1.3 INFORMATION PROCESSING APPARATUS, CLASSIFICATION 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 Potential Commercial Applications
- 1.9 Possible Prior Art
- 1.10 Original Abstract Submitted
INFORMATION PROCESSING APPARATUS, CLASSIFICATION METHOD, AND STORAGE MEDIUM
Organization Name
Inventor(s)
Masafumi Oyamada of Tokyo (JP)
INFORMATION PROCESSING APPARATUS, CLASSIFICATION METHOD, AND STORAGE MEDIUM - A simplified explanation of the abstract
This abstract first appeared for US patent application 18274449 titled 'INFORMATION PROCESSING APPARATUS, CLASSIFICATION METHOD, AND STORAGE MEDIUM
Simplified Explanation
The patent application describes an information processing apparatus that can classify data into different categories in a hierarchical structure based on matching degrees.
- Data acquiring section: Acquires target data to be classified into categories.
- Classifying section: Classifies the target data into categories based on matching degrees and upper-level matching degrees.
Potential Applications
This technology could be applied in various fields such as:
- Content categorization
- Product recommendation systems
- Fraud detection algorithms
Problems Solved
This technology helps in:
- Automating data classification processes
- Improving accuracy in categorizing large datasets
Benefits
The benefits of this technology include:
- Efficient data classification without the need for machine learning classifiers
- Scalability for handling large volumes of data
- Improved organization and retrieval of information
Potential Commercial Applications
Potential commercial applications of this technology include:
- E-commerce platforms for personalized recommendations
- Data management systems for organizing and categorizing information
- Security systems for detecting anomalies in data patterns
Possible Prior Art
One possible prior art for this technology could be traditional rule-based classification systems that rely on predefined criteria for categorizing data.
Unanswered Questions
How does this technology compare to traditional machine learning classifiers in terms of accuracy and efficiency?
This article does not provide a direct comparison between this technology and traditional machine learning classifiers. Further research and testing would be needed to determine the performance differences between the two approaches.
What are the potential limitations of this technology in handling complex and dynamic datasets?
The article does not address the potential limitations of this technology in handling complex and dynamic datasets. It would be important to investigate how well this approach adapts to changing data patterns and structures.
Original Abstract Submitted
In order to automatically classify data without using a classifier constructed by machine learning, an information processing apparatus () includes: a data acquiring section () for acquiring target data, which is data to be classified into one of a plurality of categories in a hierarchical structure; and a classifying section () for classifying the target data into one of the plurality of categories in accordance with (i) a matching degree indicating a degree to which the target data matches that category and (ii) an upper-level matching degree indicating a degree to which the target data matches an upper-level category of that category.
