Abstract
Easy access to large amounts of data triggers an interest in various data analysis techniques. On multiple occasions, an insightful and meaningful 'view' of a phenomenon represented by the data is not easy to spot in the obtained results. The users would like to learn more about essential aspects in the context of their own perception of considered concepts and gain a more human-like and linguistic-based interpretation of the results. Yet, existing techniques cannot work with imprecise linguistic terms and do not provide users with results expressed in a human friendly format.
This paper proposes a simple data analysis technique based on calculating correlation. The method investigates the relationships between linguistic terms defined individually by the users on data features. It leads to personalized summarization of data that includes the essential relations. In addition, we use the proposed method on the temporal facet/angle of data allowing us to provide the users with the inside regarding the temporal volatility of relations.