18599284. NON-TRANSITORY COMPUTER-READABLE RECORDING MEDIUM STORING INFORMATION PROCESSING PROGRAM, INFORMATION PROCESSING METHOD, AND INFORMATION PROCESSING APPARATUS simplified abstract (Fujitsu Limited)
NON-TRANSITORY COMPUTER-READABLE RECORDING MEDIUM STORING INFORMATION PROCESSING PROGRAM, INFORMATION PROCESSING METHOD, AND INFORMATION PROCESSING APPARATUS
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NON-TRANSITORY COMPUTER-READABLE RECORDING MEDIUM STORING INFORMATION PROCESSING PROGRAM, INFORMATION PROCESSING METHOD, AND INFORMATION PROCESSING APPARATUS - A simplified explanation of the abstract
This abstract first appeared for US patent application 18599284 titled 'NON-TRANSITORY COMPUTER-READABLE RECORDING MEDIUM STORING INFORMATION PROCESSING PROGRAM, INFORMATION PROCESSING METHOD, AND INFORMATION PROCESSING APPARATUS
Simplified Explanation: The patent application describes a program that helps a computer classify data sets based on attribute value patterns and determine correct classification results.
Key Features and Innovation:
- Acquiring an index value to indicate the number of data sets with correct classification results.
- Identifying attribute value patterns with few correct classification results.
- Determining if a target data set matches the identified attribute value patterns.
- Outputting the result of the determination.
Potential Applications: This technology can be used in various fields such as data analysis, machine learning, and pattern recognition.
Problems Solved: This technology helps in efficiently classifying data sets and identifying patterns with low accuracy, improving overall classification results.
Benefits:
- Enhanced data classification accuracy.
- Efficient identification of attribute value patterns.
- Streamlined data processing and analysis.
Commercial Applications: Title: Enhanced Data Classification Program This technology can be applied in industries such as finance, healthcare, and marketing for data analysis, customer segmentation, and predictive modeling, leading to improved decision-making processes and outcomes.
Prior Art: Researchers can explore prior patents related to data classification, machine learning algorithms, and pattern recognition to understand the existing technology landscape.
Frequently Updated Research: Stay updated on advancements in machine learning algorithms, data classification techniques, and pattern recognition methods to enhance the capabilities of this technology.
Questions about Data Classification: 1. How does this technology improve the accuracy of data classification? 2. What are the potential challenges in implementing this program in real-world applications?
Original Abstract Submitted
An information processing program for causing a computer to execute a process including: acquiring an index value, the index value indicating how many data sets have correct classification results obtained by classifying data sets for each of a plurality of attribute value patterns different from each other with a classifier; identifying, based on the acquired index values, one or more of first attribute value patterns among the plurality of attribute value patterns, each of the one or more of the first attribute value patterns being an attribute value pattern having a relatively small number of data sets with the correct classification results; in a case of classifying a target data set, determining whether at least any one of the identified one or more of first attribute value patterns matches the target data set; and outputting a result of the determining.
