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Privacy Preserving Publication has become one of the most prominent research topics in the recent years. Several techniques like k-anonymity, l-diversity and (α, k) anonymity were proposed to preserve privacy. Most of the published work focuses on anonymizing the microdata for preserving privacy and now the focus towards the verification of the anonymity levels of the microdata before publishing is...
Mining interesting patterns from various domains is essential in data mining and knowledge discovery process. Recently, frequent patterns along with regularity have good reputation in data mining research. A frequent pattern is regular frequent pattern if it occurs at less than or equal to user given maximum regularity threshold. So, in this paper we are introducing a new algorithm RFPDS to mine frequent...
A good number of parallel and distributed frequent pattern mining algorithms have been proposed so far for the large and/or distributed databases. Not only occurrence frequency of a pattern but also occurrence behavior (regularity) of a pattern may be treated as an emerging area in data mining research. So far some efforts have been made to mine regular patterns but there is no suitable algorithm...
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