A distributed database system is a collection of sites connected on a common high bandwidth network. Logically, data belongs to the same system but physically it is spread over the sites of the network, making the distribution invisible to the user. The advantage of this distribution resides in achieving availability, performance, modularity and reliability. In this paper, I have done a survey of papers related to Mining of Association Rules over distributed databases. From this survey, we have come up with a proposed solution to address the problem of secure mining of association rules where transactions are distributed in vertically distributed databases. Each site holds some attributes of each transaction and the sites wish to participat...
Abstract:---- A big challenge to researchers is, how efficiently, one can extract knowledge in an ap...
AbstractNow days due to rapid growth of data in organizations, extensive data processing is a centra...
Data Analysis techniques that are Association manage mining and Frequent thing set mining are two pr...
Abstract: Data mining is used to extract important knowledge from large datasets, but sometimes thes...
Abstract—We propose a protocol for secure mining of association rules in horizontally distributed da...
Privacy concerns have become an important issue in Data Mining. This paper deals with the problem of...
We propose a protocol for secure mining of association rules in horizontally distributed databases. ...
Abstract: Data mining is the most fast growing area today which is used to extract important knowled...
Data mining is used to discovering useful patterns hidden in a database from large datasets, but som...
AbstractData Mining enables important knowledge to be extracted from the data. This has made data mi...
Data mining techniques can extract hidden but useful information from large databases. Most efficien...
Abstract:Association rule learning is a popular and well researched method for discovering interesti...
Data mining is the Data mining is the analysis step of the "Knowledge Discovery in Databases" proces...
Data mining is the process of extracting trends from data sources. Domain exerts can make use of the...
Abstract — The mainstay of this project is to propose a protocol for to reduce data leakage in horiz...
Abstract:---- A big challenge to researchers is, how efficiently, one can extract knowledge in an ap...
AbstractNow days due to rapid growth of data in organizations, extensive data processing is a centra...
Data Analysis techniques that are Association manage mining and Frequent thing set mining are two pr...
Abstract: Data mining is used to extract important knowledge from large datasets, but sometimes thes...
Abstract—We propose a protocol for secure mining of association rules in horizontally distributed da...
Privacy concerns have become an important issue in Data Mining. This paper deals with the problem of...
We propose a protocol for secure mining of association rules in horizontally distributed databases. ...
Abstract: Data mining is the most fast growing area today which is used to extract important knowled...
Data mining is used to discovering useful patterns hidden in a database from large datasets, but som...
AbstractData Mining enables important knowledge to be extracted from the data. This has made data mi...
Data mining techniques can extract hidden but useful information from large databases. Most efficien...
Abstract:Association rule learning is a popular and well researched method for discovering interesti...
Data mining is the Data mining is the analysis step of the "Knowledge Discovery in Databases" proces...
Data mining is the process of extracting trends from data sources. Domain exerts can make use of the...
Abstract — The mainstay of this project is to propose a protocol for to reduce data leakage in horiz...
Abstract:---- A big challenge to researchers is, how efficiently, one can extract knowledge in an ap...
AbstractNow days due to rapid growth of data in organizations, extensive data processing is a centra...
Data Analysis techniques that are Association manage mining and Frequent thing set mining are two pr...