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Privacy‐preserving mechanism for mixed data clustering with local differential privacy
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What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
inferredcites →https://doi.org/10.1007/978-3-319-31750-2_31openalex-snapshot
Privacy Aware K-Means Clustering with High Utility
inferredcites →https://doi.org/10.1007/978-3-642-37456-2_12openalex-snapshot
A Unified Metric for Categorical and Numerical Attributes in Data Clustering
inferredcites →https://doi.org/10.1016/j.asoc.2017.04.031openalex-snapshot
A novel cluster center fast determination clustering algorithm
inferredcites →https://doi.org/10.1016/j.camwa.2009.04.017openalex-snapshot
An initialization method for the K -Means algorithm using neighborhood model
inferredcites →https://doi.org/10.1016/j.cose.2018.01.002openalex-snapshot
Composition attack against social network data
inferredcites →https://doi.org/10.1016/j.cose.2018.06.003openalex-snapshot
Privacy-preserving mechanisms for k-modes clustering
inferredcites →https://doi.org/10.1016/j.cose.2019.101699openalex-snapshot
Distributed K-Means clustering guaranteeing local differential privacy
inferredcites →https://doi.org/10.1016/j.future.2017.06.022openalex-snapshot
Enhancing privacy through uniform grid and caching in location-based services
inferredcites →https://doi.org/10.1016/j.future.2018.10.053openalex-snapshot
A caching and spatial K -anonymity driven privacy enhancement scheme in continuous location-based services
inferredcites →https://doi.org/10.1016/j.ins.2019.05.054openalex-snapshot
A trajectory privacy-preserving scheme based on a dual-K mechanism for continuous location-based services
inferredcites →https://doi.org/10.1016/j.jpdc.2019.06.012openalex-snapshot
Intelligent route planning on large road networks with efficiency and privacy
inferredcites →https://doi.org/10.1023/a:1009769707641openalex-snapshot
Extensions to the k-Means Algorithm for Clustering Large Data Sets with Categorical Values
inferredcites →https://doi.org/10.1080/01621459.1965.10480775openalex-snapshot
Randomized Response: A Survey Technique for Eliminating Evasive Answer Bias
inferredcites →https://doi.org/10.1109/focs.2013.53openalex-snapshot
Local Privacy and Statistical Minimax Rates
inferredcites →https://doi.org/10.1109/icde.2019.00063openalex-snapshot
Collecting and Analyzing Multidimensional Data with Local Differential Privacy
inferredcites →https://doi.org/10.1109/jiot.2018.2842470openalex-snapshot
A Dual Privacy Preserving Scheme in Continuous Location-Based Services
inferredcites →https://doi.org/10.1109/jiot.2020.3004826openalex-snapshot
Edge–Cloud-Aided Differentially Private Tucker Decomposition for Cyber–Physical–Social Systems
inferredcites →https://doi.org/10.1109/sp.2018.00035openalex-snapshot
Locally Differentially Private Frequent Itemset Mining
inferredcites →https://doi.org/10.1109/tcc.2017.2766227openalex-snapshot
Google Users as Sequences: A Robust Hierarchical Cluster Analysis Study
inferredcites →https://doi.org/10.1109/tii.2020.2999901openalex-snapshot
A Tensor-Based Multiattributes Visual Feature Recognition Method for Industrial Intelligence
inferredcites →https://doi.org/10.1109/tkde.2002.1019208openalex-snapshot
Unsupervised learning with mixed numeric and nominal data
inferredcites →https://doi.org/10.1109/tnnls.2017.2770167openalex-snapshot
An Algorithm for Clustering Categorical Data With Set-Valued Features
inferredcites →https://doi.org/10.1109/tnnls.2018.2839114openalex-snapshot
Exploring Correlations Among Tasks, Clusters, and Features for Multitask Clustering
inferredcites →https://doi.org/10.1109/tnse.2018.2830307openalex-snapshot
A Private and Efficient Mechanism for Data Uploading in Smart Cyber-Physical Systems
inferredcites →https://doi.org/10.1109/tnsm.2020.3045467openalex-snapshot
Secure Multi-keyword Fuzzy Searches With Enhanced Service Quality in Cloud Computing
inferredcites →https://doi.org/10.1109/tpami.2007.53openalex-snapshot
On the Impact of Dissimilarity Measure in k-Modes Clustering Algorithm
inferredcites →https://doi.org/10.1109/tpami.2012.228openalex-snapshot
The impact of cluster representatives on the convergence of the K-modes type clustering
inferredcites →https://doi.org/10.1109/tpds.2013.34openalex-snapshot
Exploiting Service Similarity for Privacy in Location-Based Search Queries
inferredcites →https://doi.org/10.1109/tpds.2016.2615020openalex-snapshot
Preserving Privacy with Probabilistic Indistinguishability in Weighted Social Networks
inferredcites →https://doi.org/10.1109/tsc.2019.2922177openalex-snapshot
Enabling Verifiable and Dynamic Ranked Search over Outsourced Data
inferredcites →https://doi.org/10.1109/tsc.2020.3020688openalex-snapshot
Prime Inner Product Encoding for Effective Wildcard-Based Multi-Keyword Fuzzy Search
inferredcites →https://doi.org/10.1126/science.1242072openalex-snapshot
Clustering by fast search and find of density peaks
inferredcites →https://doi.org/10.1137/1.9781611975994.33openalex-snapshot
Locally Private k-Means Clustering
inferredcites →https://doi.org/10.1145/2746539.2746632openalex-snapshot
Local, Private, Efficient Protocols for Succinct Histograms
inferredcites →https://doi.org/10.1145/2976749.2978409openalex-snapshot
Heavy Hitter Estimation over Set-Valued Data with Local Differential Privacy
inferredcites →https://doi.org/10.1145/3133201openalex-snapshot
Differentially Private K-Means Clustering and a Hybrid Approach to Private Optimization
inferredcites →https://doi.org/10.14778/3425879.3425887openalex-snapshot
On the efficiency of K-means clustering
inferredcites →https://doi.org/10.1561/9781601988195openalex-snapshot
The Algorithmic Foundations of Differential Privacy
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
inferred← citeshttps://doi.org/10.1002/cpe.70612openalex-snapshot
Local Differential Privacy Preservation for Distributed Data With an Improved Distance‐Based Clustering Method
inferred← citeshttps://doi.org/10.1002/cpe.7313openalex-snapshot
Unauthorized and privacy‐intrusive human activity watching through Wi‐Fi signals: An emerging cybersecurity threat
inferred← citeshttps://doi.org/10.1002/cpe.7422openalex-snapshot
A systematic literature review on sensitive data protection in blockchain applications
inferred← citeshttps://doi.org/10.1007/978-3-030-95388-1_18openalex-snapshot
A High-Availability K-modes Clustering Method Based on Differential Privacy
inferred← citeshttps://doi.org/10.1007/978-981-19-0468-4_3openalex-snapshot
A Fine-Grained Access Control Scheme for Electronic Health Records Based on Roles and Attributes
inferred← citeshttps://doi.org/10.1016/j.future.2023.03.022openalex-snapshot
ALPS: Achieving accuracy-aware location privacy service via assisted regions
inferred← citeshttps://doi.org/10.1016/j.ins.2025.122381openalex-snapshot
A two-phase approach for locally differentially private fuzzy co-clustering
inferred← citeshttps://doi.org/10.1016/j.ins.2025.122417openalex-snapshot
Non-interactive K-mode clustering of high-dimensional categorical data under local differential privacy
inferred← citeshttps://doi.org/10.1016/j.sysarc.2021.102300openalex-snapshot
SecVKQ: Secure and verifiable kNN queries in sensor–cloud systems
inferred← citeshttps://doi.org/10.1016/j.sysarc.2023.102899openalex-snapshot
A traceable and revocable decentralized multi-authority privacy protection scheme for social metaverse
inferred← citeshttps://doi.org/10.1049/2024/5553292openalex-snapshot
A Novel Differentially Private Online Learning Algorithm for Group Lasso in Big Data
inferred← citeshttps://doi.org/10.1088/2631-8695/ae50abopenalex-snapshot
Anomaly detection for industrial robots based on temporal graph neural networks and differential privacy
inferred← citeshttps://doi.org/10.1109/compsac61105.2024.00154openalex-snapshot
Differential Private Histogram Publication with Background Knowledge
inferred← citeshttps://doi.org/10.1109/globecom59602.2025.11432047openalex-snapshot
Efficient Privacy-Preserving Outsourced K-Means Clustering via Secure Two-Party Computation
inferred← citeshttps://doi.org/10.1109/icc45855.2022.9838328openalex-snapshot
Outsourced and Practical Privacy-Preserving K-Prototype Clustering supporting Mixed Data
inferred← citeshttps://doi.org/10.1109/icc51166.2024.10622837openalex-snapshot
Fully Privacy-Preserving and Efficient Clustering Scheme based on Fully Homomorphic Encryption
inferred← citeshttps://doi.org/10.1109/jbhi.2023.3306425openalex-snapshot
A Two-Stage Differential Privacy Scheme for Federated Learning Based on Edge Intelligence
inferred← citeshttps://doi.org/10.1109/jiot.2023.3266028openalex-snapshot
Outsourced and Privacy-Preserving Collaborative k-Prototype Clustering for Mixed Data via Additive Secret Sharing
inferred← citeshttps://doi.org/10.1109/jiot.2023.3292284openalex-snapshot
Spatiotemporal-Aware Privacy-Preserving Task Matching in Mobile Crowdsensing
inferred← citeshttps://doi.org/10.1109/jiot.2024.3384458openalex-snapshot
FSAIR: Fine-Grained Secure Approximate Image Retrieval for Mobile Cloud Computing
inferred← citeshttps://doi.org/10.1109/tcc.2024.3522963openalex-snapshot
Differentially Private and Truthful Reverse Auction With Dynamic Resource Provisioning for VNFI Procurement in NFV Markets
inferred← citeshttps://doi.org/10.1142/s021964922550073xopenalex-snapshot
ICAIMT_Real-Time Federated Learning for Autonomous Defense Robots: Enhancing Distributed Threat Detection and Response
inferred← citeshttps://doi.org/10.26599/bdma.2025.9020108openalex-snapshot
DPKC: A Privacy-Preserving Availability-Enhanced Clustering Scheme for Data Analysis in IoMT
inferred← citeshttps://doi.org/10.3390/electronics14102074openalex-snapshot
DPCK: An Adaptive Differential Privacy-Based CK-Means Clustering Scheme for Smart Meter Data Analysis
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