Data block decomposition and intelligent secure acquisition of microdata
Abstract P-sets (P stands for Packet) is a set model with dynamic characteristics, which is obtained by introducing dynamic characteristics into Cantor set and improving Cantor set. According to the fact that the characteristics of class I big data are completely consistent with the basic characteri...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
Nature Portfolio
2023-04-01
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| Series: | Scientific Reports |
| Online Access: | https://doi.org/10.1038/s41598-023-32328-7 |
| _version_ | 1797850096946118656 |
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| author | Xiuquan Zhang Lin Shen Kaiquan Shi |
| author_facet | Xiuquan Zhang Lin Shen Kaiquan Shi |
| author_sort | Xiuquan Zhang |
| collection | DOAJ |
| description | Abstract P-sets (P stands for Packet) is a set model with dynamic characteristics, which is obtained by introducing dynamic characteristics into Cantor set and improving Cantor set. According to the fact that the characteristics of class I big data are completely consistent with the basic characteristics of P-sets, this paper gives research on theory and application on class I big data from the view of mathematics. Here we introduce Class I big data which need some new definitions of data block, microdata and data link. Based on these concepts, decomposition theorem of data block and microdata relation theorem are given, and then attribute reasoning theorem and microdata intelligent discovery and the intelligent secure acquisition algorithm of microdata are also proposed. By using these theoretical results, the applications of secure acquisition of microdata are presented. In summary, P-sets mathematical model provides a new theory and method for studying class I big data. |
| first_indexed | 2024-04-09T18:54:50Z |
| format | Article |
| id | doaj.art-5431a7d8c6554c068205c6204662c662 |
| institution | Directory Open Access Journal |
| issn | 2045-2322 |
| language | English |
| last_indexed | 2024-04-09T18:54:50Z |
| publishDate | 2023-04-01 |
| publisher | Nature Portfolio |
| record_format | Article |
| series | Scientific Reports |
| spelling | doaj.art-5431a7d8c6554c068205c6204662c6622023-04-09T11:15:17ZengNature PortfolioScientific Reports2045-23222023-04-0113111110.1038/s41598-023-32328-7Data block decomposition and intelligent secure acquisition of microdataXiuquan Zhang0Lin Shen1Kaiquan Shi2School of Mathematics and Statistics, Huanghuai UniversitySchool of Mathematics and Statistics, Huanghuai UniversitySchool of Mathematics and Systems Science, Shandong UniversityAbstract P-sets (P stands for Packet) is a set model with dynamic characteristics, which is obtained by introducing dynamic characteristics into Cantor set and improving Cantor set. According to the fact that the characteristics of class I big data are completely consistent with the basic characteristics of P-sets, this paper gives research on theory and application on class I big data from the view of mathematics. Here we introduce Class I big data which need some new definitions of data block, microdata and data link. Based on these concepts, decomposition theorem of data block and microdata relation theorem are given, and then attribute reasoning theorem and microdata intelligent discovery and the intelligent secure acquisition algorithm of microdata are also proposed. By using these theoretical results, the applications of secure acquisition of microdata are presented. In summary, P-sets mathematical model provides a new theory and method for studying class I big data.https://doi.org/10.1038/s41598-023-32328-7 |
| spellingShingle | Xiuquan Zhang Lin Shen Kaiquan Shi Data block decomposition and intelligent secure acquisition of microdata Scientific Reports |
| title | Data block decomposition and intelligent secure acquisition of microdata |
| title_full | Data block decomposition and intelligent secure acquisition of microdata |
| title_fullStr | Data block decomposition and intelligent secure acquisition of microdata |
| title_full_unstemmed | Data block decomposition and intelligent secure acquisition of microdata |
| title_short | Data block decomposition and intelligent secure acquisition of microdata |
| title_sort | data block decomposition and intelligent secure acquisition of microdata |
| url | https://doi.org/10.1038/s41598-023-32328-7 |
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