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Privacy risk quantification in education data using Markov model
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What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
inferredcites →https://doi.org/10.1007/978-3-642-14527-8_2openalex-snapshot
On the Privacy of Web Search Based on Query Obfuscation: A Case Study of TrackMeNot
inferredcites →https://doi.org/10.1007/978-94-007-7606-7openalex-snapshot
An Introduction to Markov State Models and Their Application to Long Timescale Molecular Simulation
inferredcites →https://doi.org/10.1038/sdata.2017.171openalex-snapshot
Open University Learning Analytics dataset
inferredcites →https://doi.org/10.1109/6gsummit49458.2020.9083749openalex-snapshot
A Measure of Personal Information in Mobile Data
inferredcites →https://doi.org/10.1109/sp.2008.33openalex-snapshot
Robust De-anonymization of Large Sparse Datasets
inferredcites →https://doi.org/10.1109/sp.2012.36openalex-snapshot
OB-PWS: Obfuscation-Based Private Web Search
inferredcites →https://doi.org/10.1142/s0218488502001648openalex-snapshot
k-ANONYMITY: A MODEL FOR PROTECTING PRIVACY
inferredcites →https://doi.org/10.1145/1870096.1870102openalex-snapshot
A Framework for Computing the Privacy Scores of Users in Online Social Networks
inferredcites →https://doi.org/10.1145/2660267.2660367openalex-snapshot
Quantifying Web-Search Privacy
inferredcites →https://doi.org/10.1145/2663715.2669609openalex-snapshot
Probabilistic Prediction of Privacy Risks in User Search Histories
inferredcites →https://doi.org/10.1184/r1/6622412openalex-snapshot
Guaranteeing anonymity when sharing medical data, the Datafly system
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
inferred← citeshttps://doi.org/10.1002/eng2.70572openalex-snapshot
Pricing Mechanism of Personal Data Trading Based on Multi‐Dimensional Dynamic Model
inferred← citeshttps://doi.org/10.1007/978-3-031-60777-6_13openalex-snapshot
Application Research of Educational Data Prediction Model Based on LS-SVM in Educational Evaluation and Decision-Making
inferred← citeshttps://doi.org/10.1007/978-3-032-16454-4_9openalex-snapshot
Human-Centered Design for a Usable Privacy SCALE in Healthcare
inferred← citeshttps://doi.org/10.1007/978-3-032-21932-9_8openalex-snapshot
Privacy Risk Quantification and Evaluation
inferred← citeshttps://doi.org/10.1007/s10639-024-12911-9openalex-snapshot
Impact of ML-LA feedback system on learners’ academic performance, engagement and behavioral patterns in online collaborative learning environments: A lag sequential analysis and Markov chain approach
inferred← citeshttps://doi.org/10.1109/access.2025.3563309openalex-snapshot
Scoring System for Quantifying the Privacy in Re-Identification of Tabular Datasets
inferred← citeshttps://doi.org/10.1109/access.2025.3602140openalex-snapshot
An Entropy-Driven Evolutionary Game Framework for Quantifying Privacy-Service Tradeoffs
inferred← citeshttps://doi.org/10.1109/tlt.2024.3393766openalex-snapshot
Preserving Both Privacy and Utility in Learning Analytics
inferred← citeshttps://doi.org/10.1111/bjet.13224openalex-snapshot
Implementing next generation privacy and ethics research in education technology
inferred← citeshttps://doi.org/10.1111/bjet.13236openalex-snapshot
Technological frameworks on ethical and trustworthy learning analytics
inferred← citeshttps://doi.org/10.1111/bjet.13388openalex-snapshot
Understanding privacy and data protection issues in learning analytics using a systematic review
inferred← citeshttps://doi.org/10.1111/bjet.13525openalex-snapshot
Hybrid teaching intelligence: Lessons learned from an embodied mathematics learning experience
inferred← citeshttps://doi.org/10.1145/3636555.3636921openalex-snapshot
Scaling While Privacy Preserving: A Comprehensive Synthetic Tabular Data Generation and Evaluation in Learning Analytics
inferred← citeshttps://doi.org/10.1145/3722214openalex-snapshot
Data Readiness for AI: A 360-Degree Survey
inferred← citeshttps://doi.org/10.1145/3793549openalex-snapshot
“It’s Not Like a Job Nor Training”: Surgical Residents and Their Unique Data Privacy Needs
inferred← citeshttps://doi.org/10.12694/scpe.v25i1.2295openalex-snapshot
Research on Detection Technology of Abnormal Data in College Physical Education Network Teaching Test Results
inferred← citeshttps://doi.org/10.2478/amns-2024-1814openalex-snapshot
Research on the Teaching Mode of College English Education based on Big Data Technology
inferred← citeshttps://doi.org/10.3389/frai.2022.994967openalex-snapshot
Is it time we get real? A systematic review of the potential of data-driven technologies to address teachers' implicit biases
inferred← citeshttps://doi.org/10.3390/ai6020029openalex-snapshot
Priv-IQ: A Benchmark and Comparative Evaluation of Large Multimodal Models on Privacy Competencies
inferred← citeshttps://doi.org/10.3390/info14090487openalex-snapshot
Anonymization Procedures for Tabular Data: An Explanatory Technical and Legal Synthesis
inferred← citeshttps://doi.org/10.54254/2753-8818/2025.22141openalex-snapshot
A Markov Chain Based Study of Teachers' Approaches to Improving Education Equality
inferred← citeshttps://doi.org/10.7717/peerj-cs.4032openalex-snapshot
Reidentification risk estimation using Gaussian-copula-based generative models
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