Modified Apriori Based Data Sanitization for Cloud Data Security: An Optimization Assisted Model

Dhamdhere, Shrikant D.; Sivakkumar, M.; Subramanian, V.

doi:10.1080/01969722.2022.2157605

Cited by 2 publications

(2 citation statements)

References 35 publications

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“…Among the indicators that reduce conditional attributes, this article used six indicators, namely language teaching, answering questions, organizing discussions, expanding materials, in class quizzes, video playback function, etc. (represented by [1][2][3][4][5][6]. In order to verify the accuracy of new sample evaluation in the rough set neural network quality evaluation model of online learning platforms, this article selected three online learning platforms distinguished by style (content, interaction, and compatibility) for testing.…”

Section: Construction Of Evaluation Modelmentioning

confidence: 99%

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Exploration on Classroom Teaching Quality of Intelligent Digital Information and Cloud Model

2023

curtm

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In the era of information explosion, digital technology has penetrated into every aspect of people's lives. Intelligent digital information and cloud models, as emerging educational technologies, provide new possibilities for improving the quality of classroom teaching. The quality of classroom teaching is influenced by various factors. Among them, teachers' teaching methods, relevant information skills mastered, and school facilities and equipment can all have an impact on the quality of teaching. This article conducted in-depth research on the quality of classroom teaching and applied relevant methods of digital information and cloud models, enabling a deeper understanding of the detection and calculation of classroom teaching quality. This article mainly applied the survey method and AHP (Analytic Hierarchy Process) to analyze the factors that affect the quality of teaching and calculate the consistency of the factors. The data results showed that there was a significant difference between the consistency and random consistency values of teaching effectiveness, which were 0.0046 and 0.0079, respectively.

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Section: Construction Of Evaluation Modelmentioning

confidence: 99%

“…By hiding users and unnecessary access, data cleaners can protect sensitive data stored in large databases. In this case, improved early methods can be used to clean up the data [1]. Geehu Mary George stated that cloud development has played an important role in initiating secure communication between users.…”

Section: Introductionmentioning

confidence: 99%

Exploration on Classroom Teaching Quality of Intelligent Digital Information and Cloud Model

2023

curtm

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Efficient Verification of Cloud Data Security Based on Blockchain Untrusted Environment

Deng,

Yang,

Chen

et al. 2024

2024 IEEE 4th International Conference on Electronic Technology, Communication and Information (ICETCI)

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Modified Apriori Based Data Sanitization for Cloud Data Security: An Optimization Assisted Model

Cited by 2 publications

References 35 publications

Exploration on Classroom Teaching Quality of Intelligent Digital Information and Cloud Model

Exploration on Classroom Teaching Quality of Intelligent Digital Information and Cloud Model

Efficient Verification of Cloud Data Security Based on Blockchain Untrusted Environment

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