Privacy preserving fuzzy association rule mining in data clusters using particle swarm optimization

S Krishnamoorthy, GS Sadasivam… - International Journal of …, 2017 - igi-global.com
An association rule is classified as sensitive if its thread of revelation is above certain
confidence value. If these sensitive rules were revealed to the public, it is possible to deduce …

Low dimensional data privacy preservation using multi layer artificial neural network

R VidyaBanu, N Nagaveni - International Journal of Intelligent …, 2012 - igi-global.com
Government agencies, business enterprises and non-profit organizations are searching for
innovative methods to collect and analyze data about individuals or businesses to support …

Secure in-network aggregation in wireless sensor networks

R Maivizhi, P Yogesh - International Journal of Intelligent Information …, 2020 - igi-global.com
In-network aggregation is a natural approach in wireless sensor networks (WSNs) to
collaboratively process data generated by the sensor nodes. Besides processing, in-network …

[PDF][PDF] NEW ROUGH SET BASED MAXIMUM PARTITIONING ATTRIBUTE ALGORITHM FOR CATEGORICAL DATA CLUSTERING

MMJ BAROUD - 2022 - core.ac.uk
Clustering a set of data into homogeneous groups is a fundamental operation in data
mining. Recently, consideration has been put on categorical data clustering, where the data …

Performance Comparison of PSO and Hybrid PSO-GA in Hiding Fuzzy Sensitive Association Rules

S Krishnamoorthy, M Rajalakshmi - Handbook of Research on …, 2018 - igi-global.com
Explosion of data analysis techniques facilitate organizations to publish microdata about
individuals. While the released data sets provide valuable information to researchers, it is …

Hybrid Privacy Preservation Technique Using Neural Networks

R VidyaBanu, N Nagaveni - Recent Advances in Intelligent …, 2015 - igi-global.com
Abstract A novel Artificial Neural Network (ANN) dimension expansion-based framework that
addresses the demand for privacy preservation of low dimensional data in clustering …