论文解读：TLKC-Privacy Model for Process Mining - 代码天地

论文解读：TLKC-Privacy Model for Process Mining

其他 2020-09-18 13:40:56 阅读次数: 0

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转载自blog.csdn.net/weixin_42253964/article/details/106567009

论文解读：TLKC-Privacy Model for Process Mining

论文解读：PRETSA：Event Log Sanitization for Privacy-aware Process mining

Practical Aspect of Privacy-Preserving Data Publishing in Process Mining

Supporting Confidentiality in Process Mining Using Abstraction and Encryption

Quantifying the Re-identification Risk of Event Logs for Process Mining

过程挖掘（Process Mining）1——始于颜值

04-创建Process Model模型

05- 流程(Process Model) 和数据(BO Model) 结合

过程挖掘（Process Mining）2——入门：要素、基本概念与三大类型

论文翻译：Data mining with big data

论文总结(Frequent Itemsets Mining With Differential Privacy Over Large-Scale Data)

Mining Roles from Event Logs While Preserving Privacy

The Cost of Privacy: Destruction of Data-Mining Utility in Anonymized Data Publishing

PrivPy: General and Scalable Privacy-Preserving Data Mining

BioBERT: a pre-trained biomedical language representation model for biomedical text mining

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Flink Deployment and Process Model - Standalone, Yarn, Mesos, Kubernetes, etc.

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A Survey on Malware Detection Using Data Mining Techniques 论文阅读笔记

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论文解读-SAM: Segment Anything Model

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