Add to ORKGAbstract: Secure mining in horizontal databases is a research issue in field of data engineering. In horizontal partitioning, databases are integrated from various data holders for applying association rule. In this paper we are proposing a privacy preserving mining approach with Improved LaGrange’s polynomial equation for secure key generation and Boolean Matrix approach
The method of perturbation has been basically studied for the privacy preserving data mining. In thi...
Abstract:---- A big challenge to researchers is, how efficiently, one can extract knowledge in an ap...
We study the problem of privacy-preservation in social networks. We consider the distributed setting...
Abstract: Secure mining of association rule mining over horizontal databases is always an interestin...
Abstract: Secure mining of association rule mining over horizontal databases is always an interestin...
Abstract: Secure mining of association rule mining over horizontal databases is always an interestin...
Data mining can extract important knowledge from large data collections, but sometimes these collect...
The goal of data mining is to extract or “mine” knowledge from large amounts of data. However, data ...
Abstract: Association rule mining over horizontal partitioning data is always an interesting researc...
Abstract — Data mining can extract important knowledge from large data collections – but sometimes t...
Abstract:Due to the increase in sharing sensitive data through networks among businesses, government...
Micro data is a valuable source of information for research. However, publishing data about individu...
Security is the important paradigmin data rule mining projects. This project addresses the problem o...
Abstract — Preparing a data set for analysis in data mining is a more time consuming task. For prepa...
Data mining techniques can extract hidden but useful information from large databases. Most efficien...
The method of perturbation has been basically studied for the privacy preserving data mining. In thi...
Abstract:---- A big challenge to researchers is, how efficiently, one can extract knowledge in an ap...
We study the problem of privacy-preservation in social networks. We consider the distributed setting...
Abstract: Secure mining of association rule mining over horizontal databases is always an interestin...
Abstract: Secure mining of association rule mining over horizontal databases is always an interestin...
Abstract: Secure mining of association rule mining over horizontal databases is always an interestin...
Data mining can extract important knowledge from large data collections, but sometimes these collect...
The goal of data mining is to extract or “mine” knowledge from large amounts of data. However, data ...
Abstract: Association rule mining over horizontal partitioning data is always an interesting researc...
Abstract — Data mining can extract important knowledge from large data collections – but sometimes t...
Abstract:Due to the increase in sharing sensitive data through networks among businesses, government...
Micro data is a valuable source of information for research. However, publishing data about individu...
Security is the important paradigmin data rule mining projects. This project addresses the problem o...
Abstract — Preparing a data set for analysis in data mining is a more time consuming task. For prepa...
Data mining techniques can extract hidden but useful information from large databases. Most efficien...
The method of perturbation has been basically studied for the privacy preserving data mining. In thi...
Abstract:---- A big challenge to researchers is, how efficiently, one can extract knowledge in an ap...
We study the problem of privacy-preservation in social networks. We consider the distributed setting...