Uncertainty reduction in Big data catalogue for information product quality evaluation

Abstract

The method of vitality of the information product evaluation is built. This method, as opposed to others, takes into account components of the information product, which gave an opportunity to forecast (predict) the sequence of changes in its states. The operations over the relation with indeterminacy for the purpose of their application in the data warehouse with the consolidated data are improved that allowed realizing unary operations of Big data catalogue. The method for reducing the indeterminacy of data available in the repository of consolidated data as a basis for further evaluation of the quality of consolidated data was created. The considered methods are useful also for decision making, because they provide a search for hidden relationships between the characteristics of the consolidated data repository. Such dependence should be considered when making decisions based on consolidated data. The result of this work is to reduce the uncertainty for assessing the viability of the information product. This allows us to increase the quality of the information product for Big data analysis.