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A Tree-Based Data Perturbation Approach for Privacy-Preserving Data Mining
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Outgoing claims: the papers this work cites, builds on, or argues with.
inferredcites →https://doi.org/10.1007/978-3-540-24741-8_12openalex-snapshot
A Condensation Approach to Privacy Preserving Data Mining
inferredcites →https://doi.org/10.1007/s00145-001-0019-2openalex-snapshot
Privacy Preserving Data Mining
inferredcites →https://doi.org/10.1007/s10618-005-0007-5openalex-snapshot
Ordinal, Continuous and Heterogeneous k-Anonymity Through Microaggregation
inferredcites →https://doi.org/10.1016/0095-0696(78)90006-2openalex-snapshot
Hedonic housing prices and the demand for clean air
inferredcites →https://doi.org/10.1080/01621459.2000.10474260openalex-snapshot
Optimal Disclosure Limitation Strategy in Statistical Databases: Deterring Tracker Attacks through Additive Noise
inferredcites →https://doi.org/10.1109/69.979982openalex-snapshot
Practical data-oriented microaggregation for statistical disclosure control
inferredcites →https://doi.org/10.1109/tkde.2003.1209020openalex-snapshot
A polynomial algorithm for optimal univariate microaggregation
inferredcites →https://doi.org/10.1145/1994.383392openalex-snapshot
The statistical security of a statistical database
inferredcites →https://doi.org/10.1145/355744.355745openalex-snapshot
An Algorithm for Finding Best Matches in Logarithmic Expected Time
inferredcites →https://doi.org/10.1145/3979.4017openalex-snapshot
A data distortion by probability distribution
inferredcites →https://doi.org/10.1145/76894.76895openalex-snapshot
Security-control methods for statistical databases: a comparative study
inferredcites →https://doi.org/10.1145/772862.772867openalex-snapshot
Tools for privacy preserving distributed data mining
inferredcites →https://doi.org/10.1145/775047.775080openalex-snapshot
Privacy preserving mining of association rules
inferredcites →https://doi.org/10.1145/775079.775080openalex-snapshot
Privacy preserving mining of association rules
inferredcites →https://doi.org/10.1287/opre.50.3.501.7745openalex-snapshot
Confidentiality via Camouflage: The CVC Approach to Disclosure Limitation When Answering Queries to Databases
inferredcites →https://doi.org/10.2307/2669452openalex-snapshot
Optimal Disclosure Limitation Strategy in Statistical Databases: Deterring Tracker Attacks through Additive Noise
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
inferred← citeshttps://doi.org/10.1007/978-0-387-70992-5_15openalex-snapshot
A Survey of Attack Techniques on Privacy-Preserving Data Perturbation Methods
inferred← citeshttps://doi.org/10.1007/978-1-84996-338-1_14openalex-snapshot
Application for Privacy-preserving Data Mining
inferred← citeshttps://doi.org/10.1007/978-1-84996-338-1_6openalex-snapshot
Privacy-preserving Data Mining
inferred← citeshttps://doi.org/10.1007/978-3-319-23207-2_6openalex-snapshot
A Sanitization Approach of Privacy Preserving Utility Mining
inferred← citeshttps://doi.org/10.1007/978-3-319-73712-6_3openalex-snapshot
HiMod-Pert: Histogram Modification Based Perturbation Approach for Privacy Preserving Data Mining
inferred← citeshttps://doi.org/10.1007/978-3-540-73871-8_10openalex-snapshot
A k-Anonymity Clustering Method for Effective Data Privacy Preservation
inferred← citeshttps://doi.org/10.1007/978-3-642-21765-4_63openalex-snapshot
A Novel Knowledge Protection Technique Base on Support Vector Machine Model for Anti-classification
inferred← citeshttps://doi.org/10.1007/978-3-642-23605-1_27openalex-snapshot
An Improved EDP Algorithm to Privacy Protection in Data Mining
inferred← citeshttps://doi.org/10.1007/978-3-7908-2148-2_19openalex-snapshot
Measuring Data Quality When Applying Data Swapping and Perturbation
inferred← citeshttps://doi.org/10.1007/978-981-13-1580-0_28openalex-snapshot
Privacy-Preserving Naive Bayesian Classifier for Continuous Data and Discrete Data
inferred← citeshttps://doi.org/10.1007/s10115-026-02689-2openalex-snapshot
Multi-interval monotonic data transformation for privacy-preserving data mining in rule-based classification
inferred← citeshttps://doi.org/10.1007/s10586-023-04000-2openalex-snapshot
Secure itemset hiding in smart city sensor data
inferred← citeshttps://doi.org/10.1007/s10916-015-0305-4openalex-snapshot
A Novel Anti-classification Approach for Knowledge Protection
inferred← citeshttps://doi.org/10.1007/s13042-017-0708-2openalex-snapshot
Learning from label proportions with pinball loss
inferred← citeshttps://doi.org/10.1016/j.cose.2017.03.007openalex-snapshot
Analyzing research trends in personal information privacy using topic modeling
inferred← citeshttps://doi.org/10.1016/j.datak.2008.12.003openalex-snapshot
Privately detecting bursts in streaming, distributed time series data
inferred← citeshttps://doi.org/10.1016/j.datak.2012.10.004openalex-snapshot
Breaching Euclidean distance-preserving data perturbation using few known inputs
inferred← citeshttps://doi.org/10.1016/j.dcan.2021.03.002openalex-snapshot
WITHDRAWN: Security protocol of sensitive high utility itemset hiding in shared IoT environments
inferred← citeshttps://doi.org/10.1016/j.engappai.2016.07.003openalex-snapshot
Fast algorithms for hiding sensitive high-utility itemsets in privacy-preserving utility mining
inferred← citeshttps://doi.org/10.1016/j.jbi.2014.01.001openalex-snapshot
A data recipient centered de-identification method to retain statistical attributes
inferred← citeshttps://doi.org/10.1016/j.jksuci.2016.11.009openalex-snapshot
Privacy preserving data mining with 3-D rotation transformation
inferred← citeshttps://doi.org/10.1016/j.protcy.2012.05.053openalex-snapshot
Non-Additive Random Data Perturbation for Real World Data
inferred← citeshttps://doi.org/10.1080/15536548.2012.10845652openalex-snapshot
The Effectiveness of Data Shuffling for Privacy-Preserving Data Mining Applications
inferred← citeshttps://doi.org/10.1109/bigdata.2018.8622405openalex-snapshot
Privacy Preserving Utility Mining: A Survey
inferred← citeshttps://doi.org/10.1109/eesco.2015.7254044openalex-snapshot
Contemporary trends in privacy preserving collaborative data mining- A survey
inferred← citeshttps://doi.org/10.1109/ias.2009.133openalex-snapshot
A New Scheme to Privacy-Preserving Collaborative Data Mining
inferred← citeshttps://doi.org/10.1109/icacccn.2018.8748480openalex-snapshot
A Privacy Framework in Cloud Computing for Healthcare Data
inferred← citeshttps://doi.org/10.1109/icacci.2016.7732113openalex-snapshot
Evaluating applicability of perturbation techniques for privacy preserving data mining by descriptive statistics
inferred← citeshttps://doi.org/10.1109/jbhi.2013.2274899openalex-snapshot
Privacy-Preserving Clinical Decision Support System Using Gaussian Kernel-Based Classification
inferred← citeshttps://doi.org/10.1109/smart46866.2019.9117391openalex-snapshot
Privacy Preserving Classification using 4-Dimensional Rotation Transformation
inferred← citeshttps://doi.org/10.1109/tkde.2009.78openalex-snapshot
Approximation Bounds for Minimum Information Loss Microaggregation
inferred← citeshttps://doi.org/10.1109/tsc.2015.2484318openalex-snapshot
Target-Based, Privacy Preserving, and Incremental Association Rule Mining
inferred← citeshttps://doi.org/10.1145/1540438.1540443openalex-snapshot
A tree-based approach to preserve the privacy of software engineering data and predictive models
inferred← citeshttps://doi.org/10.1145/1877725.1877732openalex-snapshot
A privacy protection technique for publishing data mining models and research data
inferred← citeshttps://doi.org/10.1145/1982185.1982395openalex-snapshot
Target-based privacy preserving association rule mining
inferred← citeshttps://doi.org/10.1145/3459104.3459193openalex-snapshot
A Design for Private Data Protection Combining with Data Perturbation and Data Reconstruction
inferred← citeshttps://doi.org/10.1155/2012/521267openalex-snapshot
A Privacy-Preserved Analytical Method for eHealth Database with Minimized Information Loss
inferred← citeshttps://doi.org/10.1201/9780429171529-112openalex-snapshot
Knowledge Discovery and Data Mining
inferred← citeshttps://doi.org/10.1287/ijoc.2022.0037openalex-snapshot
Cost-Effective Acquisition of First-Party Data for Business Analytics
inferred← citeshttps://doi.org/10.1287/isre.1070.0112openalex-snapshot
Releasing Individually Identifiable Microdata with Privacy Protection Against Stochastic Threat: An Application to Health Information
inferred← citeshttps://doi.org/10.1287/isre.1100.0289openalex-snapshot
Protecting Privacy Against Record Linkage Disclosure: A Bounded Swapping Approach for Numeric Data
inferred← citeshttps://doi.org/10.1287/mnsc.1120.1584openalex-snapshot
Class-Restricted Clustering and Microperturbation for Data Privacy
inferred← citeshttps://doi.org/10.1287/opre.1090.0702openalex-snapshot
Against Classification Attacks: A Decision Tree Pruning Approach to Privacy Protection in Data Mining
inferred← citeshttps://doi.org/10.13089/jkiisc.2013.23.1.033openalex-snapshot
Privacy-Preserving k-Bits Inner Product Protocol
inferred← citeshttps://doi.org/10.13140/rg.2.2.27964.69760openalex-snapshot
Protecting Sensitive Attributes via Generative Adversarial Networks
inferred← citeshttps://doi.org/10.1371/journal.pone.0317427openalex-snapshot
Multi-level high utility-itemset hiding
inferred← citeshttps://doi.org/10.1504/ijaacs.2017.082739openalex-snapshot
Privacy preservation in fuzzy association rules using rough set on intuitionistic fuzzy approximation spaces and DSR
inferred← citeshttps://doi.org/10.1515/cait-2017-0015openalex-snapshot
Partition Based Perturbation for Privacy Preserving Distributed Data Mining
inferred← citeshttps://doi.org/10.17485/ijst/2014/v7i7.17openalex-snapshot
Anonymization by Data Relocation using Sub-clustering for Privacy Preserving Data Mining
inferred← citeshttps://doi.org/10.17485/ijst/2016/v9i3/86386openalex-snapshot
Enhancing Privacy Preservation in Data Mining using Cluster based Greedy Method in Hierarchical Approach
inferred← citeshttps://doi.org/10.2478/cait-2014-0005openalex-snapshot
Privacy preservation in fuzzy association rules using rough computing and DSR
inferred← citeshttps://doi.org/10.25300/misq/2025/18502openalex-snapshot
Shapley Value-Based Feature Attribution for Data Masking
inferred← citeshttps://doi.org/10.31449/upinf.154openalex-snapshot
Problematika ohranjanja zasebnosti pri podatkovnem rudarjenju dokumentov z občutljivimi podatki
inferred← citeshttps://doi.org/10.3390/su11123311openalex-snapshot
Investigating Privacy and Information Disclosure Behavior in Social Electronic Commerce
inferred← citeshttps://doi.org/10.3844/jcssp.2020.194.201openalex-snapshot
A Survey of Data Anonymization Techniques for Privacy-Preserving Mining in Bigdata
inferred← citeshttps://doi.org/10.4018/978-1-4666-0282-3.ch002openalex-snapshot
A Partial Optimization Approach for Privacy Preserving Frequent Itemset Mining
inferred← citeshttps://doi.org/10.4018/978-1-4666-4030-6.ch011openalex-snapshot
Secure Multiparty Computation via Oblivious Polynomial Evaluation
inferred← citeshttps://doi.org/10.4018/978-1-5225-1829-7.ch006openalex-snapshot
Analytical Study on Privacy Attack Models in Privacy Preserving Data Publishing
inferred← citeshttps://doi.org/10.4018/978-1-5225-7113-1.ch061openalex-snapshot
Analytical Study on Privacy Attack Models in Privacy Preserving Data Publishing
inferred← citeshttps://doi.org/10.4018/978-1-5225-8897-9.ch076openalex-snapshot
Analytical Study on Privacy Attack Models in Privacy Preserving Data Publishing
inferred← citeshttps://doi.org/10.4018/978-1-60960-200-0.ch019openalex-snapshot
Preserving Privacy in Mining Quantitative Associations Rules
inferred← citeshttps://doi.org/10.4018/978-1-61350-323-2.ch2.8openalex-snapshot
A Partial Optimization Approach for Privacy Preserving Frequent Itemset Mining
inferred← citeshttps://doi.org/10.4018/978-1-61350-323-2.ch208openalex-snapshot
A Partial Optimization Approach for Privacy Preserving Frequent Itemset Mining
inferred← citeshttps://doi.org/10.4018/978-1-61692-000-5.ch004openalex-snapshot
A Privacy Protection Model for Patient Data With Multiple Sensitive Attributes
inferred← citeshttps://doi.org/10.4018/jcmam.2010072002openalex-snapshot
A Partial Optimization Approach for Privacy Preserving Frequent Itemset Mining
inferred← citeshttps://doi.org/10.4018/jisp.2008070103openalex-snapshot
A Privacy Protection Model for Patient Data with Multiple Sensitive Attributes
inferred← citeshttps://doi.org/10.4018/jisp.2009100101openalex-snapshot
Preserving Privacy in Mining Quantitative Associations Rules
inferred← citeshttps://doi.org/10.47893/ijcct.2013.1201openalex-snapshot
Min Max Normalization Based Data Perturbation Method for Privacy Protection
inferred← citeshttps://doi.org/10.48550/arxiv.1001.3504openalex-snapshot
A Noise Addition Scheme in Decision Tree for Privacy Preserving Data Mining
inferred← citeshttps://doi.org/10.48550/arxiv.1812.10193openalex-snapshot
Application-driven Privacy-preserving Data Publishing with Correlated Attributes
inferred← citeshttps://doi.org/10.5120/20272-2685openalex-snapshot
Implementation of Multi-Level Trust in Privacy Preserving Data Mining against Non-Linear Attack
inferred← citeshttps://doi.org/10.6703/ijase.2014.12(4).303openalex-snapshot
Data Security Using Decomposition
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