Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: The current trend in the application space towards systems of loosely coupled and dynamically bound components that enables just-in-time integration jeopardizes the security of information that is shared beten the broker, the requester, and the provider at runtime. In particular, new advances in data mining and knowledge discovery that allow for the extraction of hidden knowledge in an enormous amount of data, impose new threats on the seamless integration of information.  consider the problem of building privacy preserving algorithms for one category of data mining techniques, association rule mining.  introduce new metrics in order to demonstrate how security issues can be taken into consideration in the general framework of association rule mining, and  show that the complexity of the new heuristics is similar to that of the original algorithms.
['Yücel Saygin', 'Vassilios S. Verykios', 'Ahmed K. Elmagarmid']
I am writing a research paper on a idea Privacy preserving association rule mining
[{"from": "human", "value": "I am writing a research paper on a idea Privacy preserving association rule mining"}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: The current trend in the application space towards systems of loosely coupled and dynamically bound components that enables just-in-time integration jeopardizes the security of information that is shared beten the broker, the requester, and the provider at runtime. In particular, new advances in data mining and knowledge discovery that allow for the extraction of hidden knowledge in an enormous amount of data, impose new threats on the seamless integration of information.  consider the problem of building privacy preserving algorithms for one category of data mining techniques, association rule mining.  introduce new metrics in order to demonstrate how security issues can be taken into consideration in the general framework of association rule mining, and  show that the complexity of the new heuristics is similar to that of the original algorithms."}]