View source for 18599872. BIG DATA ANALYSIS DEVICE FOR PREVENTING PERSONAL INFORMATION INFRINGEMENT, METHOD FOR OPERATING SAME, AND NON-TRANSITORY COMPUTER READABLE STORAGE MEDIUM simplified abstract (Samsung Electronics Co., Ltd.)

=BIG DATA ANALYSIS DEVICE FOR PREVENTING PERSONAL INFORMATION INFRINGEMENT, METHOD FOR OPERATING SAME, AND NON-TRANSITORY COMPUTER READABLE STORAGE MEDIUM=


==Organization Name==

[[:Category:Samsung Electronics Co., Ltd.|Samsung Electronics Co., Ltd.]]


[[Category:Samsung Electronics Co., Ltd.]]

==Inventor(s)==

[[:Category:Jaeseok Park of Suwon-si (KR)|Jaeseok Park of Suwon-si (KR)]][[Category:Jaeseok Park of Suwon-si (KR)]]

[[:Category:Junggeun Kim of Suwon-si (KR)|Junggeun Kim of Suwon-si (KR)]][[Category:Junggeun Kim of Suwon-si (KR)]]

[[:Category:Donggeon Park of Suwon-si (KR)|Donggeon Park of Suwon-si (KR)]][[Category:Donggeon Park of Suwon-si (KR)]]

[[:Category:Minkyu Lee of Suwon-si (KR)|Minkyu Lee of Suwon-si (KR)]][[Category:Minkyu Lee of Suwon-si (KR)]]

==BIG DATA ANALYSIS DEVICE FOR PREVENTING PERSONAL INFORMATION INFRINGEMENT, METHOD FOR OPERATING SAME, AND NON-TRANSITORY COMPUTER READABLE STORAGE MEDIUM - A simplified explanation of the abstract==


This abstract first appeared for US patent application 18599872 titled 'BIG DATA ANALYSIS DEVICE FOR PREVENTING PERSONAL INFORMATION INFRINGEMENT, METHOD FOR OPERATING SAME, AND NON-TRANSITORY COMPUTER READABLE STORAGE MEDIUM

The abstract describes a method for operating a big data analysis device, involving receiving a user query, decomposing it into subqueries, identifying and reconfiguring subqueries related to personal information, and generating a reconfigured query.

*Simplified Explanation:
The method outlined in the patent application involves processing user queries in a big data analysis device by separating out subqueries related to personal information and reconfiguring them to protect privacy.

*Key Features and Innovation:
- Decomposing user queries into subqueries
- Identifying and reconfiguring subqueries related to personal information
- Generating a reconfigured query by merging subqueries

*Potential Applications:
- Data analysis in various industries such as healthcare, finance, and marketing
- Enhancing privacy protection in big data analytics

*Problems Solved:
- Protecting personal information in data analysis processes
- Improving data security and privacy compliance

*Benefits:
- Enhanced privacy protection for users
- Efficient data analysis without compromising personal information
- Compliance with data privacy regulations

*Commercial Applications:
Title: Enhanced Privacy Protection in Big Data Analysis
This technology can be used in industries that handle sensitive data, such as healthcare, finance, and marketing, to ensure compliance with privacy regulations and enhance data security.

*Questions about Enhanced Privacy Protection in Big Data Analysis:
1. How does this method improve data security in big data analysis?
This method improves data security by identifying and reconfiguring subqueries related to personal information, ensuring that sensitive data is protected during analysis.

2. What are the potential implications of this technology for industries that handle large amounts of personal data?
This technology can help industries comply with data privacy regulations and enhance trust with customers by ensuring the protection of personal information during data analysis processes.


==Original Abstract Submitted==

A method of operating a big data analysis device is provided. The method includes receiving a user query, decomposing the received user query into multiple subqueries, identifying first subqueries configured to refer to personal information among the multiple subqueries, reconfiguring the first subqueries into second subqueries independent of the personal information based on a component accessible to the personal information, and generating a reconfigured query by merging the second subqueries with subqueries other than the first subqueries configured to refer to the personal information among the multiple subqueries.



[[Category:G06F21/62]]
[[Category:CPC_G06F21/6227]]