Privacy Preserving Random Decision Trees over Randomly Partitioned Dataset

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Provided by: The International Journal of Innovative Research in Computer and Communication Engineering
Topic: Big Data
Format: PDF
Now-a-days, privacy preservation in data mining has become an important issue. Privacy preservation means protecting the sensitive information on data that are collected from different sources. The data collected have to collaborate together by maintaining the information on the data. Distributed data mining is concerned with the computation of data that is distributed among multiple participants. Privacy preserving distributed data mining allows the cooperative computation of data without parties revealing their individual data. Though there are some organizations which individually collect a lot of data on their own, often large correlated data is collected over many sites.
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