Multi-agent systems for distributed data mining techniques: An overview
The term “multi-agent systems”(MAS) refers to a mechanism that is used to create goal-
oriented autonomous agents in a shared environment and have communication and …
oriented autonomous agents in a shared environment and have communication and …
Privacy preserving distributed association rule mining approach on vertically partitioned healthcare data
N Domadiya, UP Rao - Procedia computer science, 2019 - Elsevier
The trends of data mining in the healthcare is increased due to the digitization of healthcare
with electronic health record (EHR) systems. This generates a huge amount of data on daily …
with electronic health record (EHR) systems. This generates a huge amount of data on daily …
Privacy-preserving association rule mining for horizontally partitioned healthcare data: a case study on the heart diseases
N Domadiya, UP Rao - Sādhanā, 2018 - Springer
In recent years, a trend of electronic health record (EHR) system can be seen increasingly in
the hospitals, which has generated huge amount of electronically stored data of patients …
the hospitals, which has generated huge amount of electronically stored data of patients …
Privacy preserving association rule mining on distributed healthcare data: Covid-19 and breast cancer case study
N Domadiya, UP Rao - SN Computer Science, 2021 - Springer
Association rule mining can be used in healthcare data mining to provide solutions to life-
threatening diseases like recent COVID-19. Due to healthcare data privacy concerns …
threatening diseases like recent COVID-19. Due to healthcare data privacy concerns …
Pattern mining—FTISPAM using hybrid genetic algorithm
L Mary Gladence, S Shanmuga Priya… - … Techniques in Data …, 2021 - Springer
An innovative approach is elegantly launched to effectively identify the medical behavioural
changes of the patients. With this end in view, the sequential change patterns are extracted …
changes of the patients. With this end in view, the sequential change patterns are extracted …
Mixture-model-based graph for privacy-preserving semi-supervised learning
Privacy has become a major concern in data mining as it is utilized in many important
applications. Distributed privacy-preserving data mining (DPPDM) is one of the techniques …
applications. Distributed privacy-preserving data mining (DPPDM) is one of the techniques …
Anti-data mining on group privacy information
In the big data era, privacy preserving is a vital security challenge for data mining. Common
object of privacy preserving is personal privacy, which should be kept unrevealed while data …
object of privacy preserving is personal privacy, which should be kept unrevealed while data …
Privacy preserving approach for association rule mining in horizontally partitioned data using MFI and shamir's secret sharing
NH Domadiya, UP Rao - 2018 IEEE 13th International …, 2018 - ieeexplore.ieee.org
Preserving privacy while collaboratively mining association rules has caught the attention of
researchers due to privacy concern by collaborative participants. Existing public key based …
researchers due to privacy concern by collaborative participants. Existing public key based …
Privacy Preservation for Distance Based Data Mining in Distributed Data
RR Mtengwa, CB Mawuli, D Kulevome… - … on Wavelet Active …, 2022 - ieeexplore.ieee.org
Data collected from vast, diverse devices for data mining purposes must be preserved from
privacy and security issues. This research aims to improve the privacy preservation for …
privacy and security issues. This research aims to improve the privacy preservation for …
Technique for Optimization of Association Rule Mining by Utilizing Genetic Algorithm
Background: Due to advancement in usage of Internet and pattern discovery from huge
amount of data flowing through internet, personal information of an individual or …
amount of data flowing through internet, personal information of an individual or …