View source for Samsung electronics co., ltd. (20240211622). BIG DATA ANALYSIS DEVICE FOR PREVENTING PERSONAL INFORMATION INFRINGEMENT, METHOD FOR OPERATING SAME, AND NON-TRANSITORY COMPUTER READABLE STORAGE MEDIUM simplified abstract

=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 20240211622 titled 'BIG DATA ANALYSIS DEVICE FOR PREVENTING PERSONAL INFORMATION INFRINGEMENT, METHOD FOR OPERATING SAME, AND NON-TRANSITORY COMPUTER READABLE STORAGE MEDIUM

The abstract of the patent application describes a method for operating a big data analysis device. This method involves receiving a user query, breaking it down into multiple subqueries, identifying subqueries related to personal information, reconfiguring these subqueries to remove personal information, and then merging them with other subqueries to generate a reconfigured query.

* The method involves receiving a user query and breaking it down into smaller subqueries.
* Subqueries related to personal information are identified and reconfigured to remove personal information.
* The reconfigured subqueries are then merged with other subqueries to create a new query.
* This process helps protect personal information while still allowing for effective data analysis.
* The method enhances data security and privacy in big data analysis operations.

Potential Applications:
This technology can be applied in various industries such as healthcare, finance, and marketing where sensitive personal information needs to be protected during data analysis processes.

Problems Solved:
This technology addresses the issue of maintaining data privacy and security while conducting big data analysis, especially when dealing with personal information.

Benefits:
The method provides a solution for safeguarding personal information in big data analysis, ensuring compliance with data protection regulations and enhancing overall data security.

Commercial Applications:
This technology can be utilized by data analysis companies, financial institutions, healthcare providers, and marketing agencies to protect sensitive personal information during data processing.

Questions about the technology:
1. How does this method ensure the reconfigured subqueries are still effective for data analysis purposes?
2. What are the potential challenges in implementing this technology in real-world big data analysis systems?


==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]]