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Hiding sensitive items in privacy preserving association rule mining
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What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
inferredcites →https://doi.org/10.1007/3-540-44598-6_3openalex-snapshot
Privacy Preserving Data Mining
inferredcites →https://doi.org/10.1007/3-540-45496-9_27openalex-snapshot
Hiding Association Rules by Using Confidence and Support
inferredcites →https://doi.org/10.1007/978-0-387-35508-5_13openalex-snapshot
Protecting Against Data Mining through Samples
inferredcites →https://doi.org/10.1016/b978-155860869-6/50066-4openalex-snapshot
Maintaining Data Privacy in Association Rule Mining
inferredcites →https://doi.org/10.1109/icdm.2003.1250990openalex-snapshot
Protecting sensitive knowledge by data sanitization
inferredcites →https://doi.org/10.1109/ideas.2003.1214911openalex-snapshot
Algorithms for balancing privacy and knowledge discovery in association rule mining
inferredcites →https://doi.org/10.1109/ride.2002.995109openalex-snapshot
Privacy preserving association rule mining
inferredcites →https://doi.org/10.1145/170035.170072openalex-snapshot
Mining association rules between sets of items in large databases
inferredcites →https://doi.org/10.1145/375551.375602openalex-snapshot
On the design and quantification of privacy preserving data mining algorithms
inferredcites →https://doi.org/10.1145/604264.604271openalex-snapshot
Using unknowns to prevent discovery of association rules
inferredcites →https://doi.org/10.1145/772862.772867openalex-snapshot
Tools for privacy preserving distributed data mining
inferredcites →https://doi.org/10.1145/772862.772869openalex-snapshot
Randomization in privacy preserving data mining
inferredcites →https://doi.org/10.1145/773153.773174openalex-snapshot
Limiting privacy breaches in privacy preserving data mining
inferredcites →https://doi.org/10.1145/775047.775080openalex-snapshot
Privacy preserving mining of association rules
inferredcites →https://doi.org/10.1145/775047.775142openalex-snapshot
Privacy preserving association rule mining in vertically partitioned data
inferredcites →https://doi.org/10.1145/775079.775080openalex-snapshot
Privacy preserving mining of association rules
inferredcites →https://doi.org/10.3233/jcs-2000-8403openalex-snapshot
Using sample size to limit exposure to data mining
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
inferred← citeshttps://doi.org/10.1007/978-3-642-27299-8_52openalex-snapshot
Hiding Sensitive Association Rules without Altering the Support of Sensitive Item(s)
inferred← citeshttps://doi.org/10.1016/j.ins.2024.121673openalex-snapshot
Preserving privacy in association rule mining using multi-threshold particle swarm optimization
inferred← citeshttps://doi.org/10.1016/j.procs.2016.03.126openalex-snapshot
Privacy Preserving Distributed Association Rule Hiding Using Concept Hierarchy
inferred← citeshttps://doi.org/10.1109/icprime.2013.6496472openalex-snapshot
Detection of sensitive items in market basket database using association rule mining for privacy preserving
inferred← citeshttps://doi.org/10.1109/ocit65031.2024.00042openalex-snapshot
Cloud Assisted Privacy-Preserving Optimized Distributed Association Rule Mining on e-Healthcare Data
inferred← citeshttps://doi.org/10.1109/soli.2008.4686377openalex-snapshot
Hiding sensitive association rules efficiently by introducing new variable hiding counter
inferred← citeshttps://doi.org/10.1155/2013/210405openalex-snapshot
Association Rule Hiding Based on Intersection Lattice
inferred← citeshttps://doi.org/10.14257/ijdta.2015.8.4.30openalex-snapshot
Secure Multi-party Communication in Data-mining Applications
inferred← citeshttps://doi.org/10.14257/ijmue.2014.9.10.06openalex-snapshot
Distortion Technique for Hiding Sensitive Association Rules
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/10.1504/ijaip.2015.073717openalex-snapshot
Hiding personalised anonymity of attributes using privacy preserving data mining
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/10.31557/apjcp.2019.20.5.1437openalex-snapshot
Protecting the Privacy of Cancer Patients Using Fuzzy Association Rule Hiding
inferred← citeshttps://doi.org/10.3844/jcssp.2010.1488.1492openalex-snapshot
Hybrid Algorithm for Privacy Preserving Association Rule Mining
inferred← citeshttps://doi.org/10.4018/978-1-4666-0158-1.ch015openalex-snapshot
Collusion-Free Privacy Preserving Data Mining
inferred← citeshttps://doi.org/10.4018/978-1-4666-4940-8.ch003openalex-snapshot
Privacy Preservation in Information System
inferred← citeshttps://doi.org/10.4018/978-1-5225-7113-1.ch084openalex-snapshot
Privacy Preservation in Information System
inferred← citeshttps://doi.org/10.4018/jiit.2010100103openalex-snapshot
Collusion-Free Privacy Preserving Data Mining
inferred← citeshttps://doi.org/10.5121/csit.2012.2436openalex-snapshot
New Algorithm for Sensitive Rule Hiding Using Data Distortion Technique
inferred← citeshttps://doi.org/10.5121/ijaia.2012.3207openalex-snapshot
Hiding Sensitive Association Rules Without Altering the Support of Sensitive Item(S)
inferred← citeshttps://doi.org/10.5121/ijdkp.2013.3105openalex-snapshot
Hiding Sensitive Association Rule Using Heuristic Approach
inferred← citeshttps://doi.org/10.5815/ijitcs.2012.04.08openalex-snapshot
Association Rule Hiding by Positions Swapping of Support and Confidence
inferred← citeshttps://doi.org/10.7763/ijcte.2009.v1.60openalex-snapshot
Privacy Preserving Fuzzy Association Rules Hiding in Quantitative Data
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