Deriving consensus for term frequency matrix in a cognitive integrated management information system

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Abstract

An unstructured knowledge processing in integrated management information systems is increasingly becoming a major challenge, mainly due to the possibility to obtain better flexibility and competitiveness of the organization. However, the most prevailing phenomenon is a conflict in unstructured knowledge. As an example may serve opinions of users about a given product offered by online shops. Some users may have positive opinions; others negative ones, while some of them may not have any opinion about a given product. Therefore this paper focus on developing a consensus deriving method for resolving conflict of unstructured knowledge of text documents represented by Term Frequency Matrix in integrated management information system.

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Hernes, M. (2015). Deriving consensus for term frequency matrix in a cognitive integrated management information system. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 9329, pp. 503–512). Springer Verlag. https://doi.org/10.1007/978-3-319-24069-5_48

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