Abstract: Provided is a method for anonymizing datasets having sensitive information, including the steps of determining a dataset of records to be assigned to aggregation clusters; computing an average record of the dataset on the basis of a predefined repetition counter; finding a most distant first record to the average record using a distance measure; finding a most distant second record from the first record using the distance measure; forming a first aggregation cluster around the first record and a second aggregation cluster around the second record; and generating a new dataset by subtracting the first cluster and the second cluster from the previous dataset.

Abstract: Provided is a method for anonymising data stocks, including the steps of determining a combination of generalization stages for quasi-identifiers of a data stock at a central node; transmitting the combination of generalization stages to a plurality of sub-nodes; and a parallel performing of an anonymisation of the data stock on the basis of the combination of generalization stages by the sub-nodes.

Abstract: Provided is a method for anonymising data stocks, including the steps of determining a combination of generalization stages for quasi-identifiers pf of a data stock at a central node; transmitting the combination of generalization stages to a plurality of sub-nodes; and a parallel performing of an anonymisation of the data stock on the basis of the combination of generalization stages by the sub-nodes.

Abstract: Provided is a method for anonymizing datasets having sensitive information, including the steps of determining a dataset of records to be assigned to aggregation clusters; computing an average record of the dataset on the basis of a predefined repetition counter; finding a most distant first record to the average record using a distance measure; finding a most distant second record from the first record using the distance measure; forming a first aggregation cluster around the first record and a second aggregation cluster around the second record; and generating a new dataset by subtracting the first cluster and the second cluster from the previous dataset.

Abstract: A coating composition is provided for plastics, polymers, paper, and paperboard useful in packaging of liquids and solids where the coating provides an increased resistance to the permeability of gases such as oxygen and/or carbon dioxide, whose presence or absence may affect the quality of the packaged material. The coating composition has at least one polymeric film forming material that is at least one hydroxyl functional polyetheramine in dispersion or solution form. The coating also has an aminoplast crosslinking agent and optionally at least one defoaming agent all preferably in a water borne coating composition. The coating is applied to the substrates by such coating applications as brushing, dip coating, spray coating, flow coating for drying to produce the substrate with the coating film.