Information Dilution: Granule-Based Information Hiding in Table Data - A Case of Lenses Data Set in UCI Machine Learning Repository

Abstract

We reconsider information dilution, which was originally proposed in [4]. This adds the noises to the value in table data in order to hide the actual value, namely information dilution is a kind of information hiding in table data. In this paper, we pick up lenses data set ϕ in UCI machine learning repository, and we dilute this data set ϕ with preserving obtainable rules.