On static and dynamic methods for condensation-based privacy-preserving data mining

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Privacy Preserving Data Mining (2015, methodology): “A new PPDM framework of multi-dimensional data proposed by Aggarwal and Yu (2008) developed a new and ﬂexible PPDM approach without needing new problem-speciﬁc algorithms, as it mapped original data set to new anonymized data set.”
Privacy-preserving data publishing: A survey of recent developments (2010, methodology): “The Scope A closely related research area is privacy-preserving data mining [Aggarwal and Yu 2008c].”
Recommender Systems (2016, unknown): “Some common models for perturbing the data records in group-wise fashion include k-anonymization [521], condensation [27], -diversity [386], and t-closeness [352].”