Titlebook: Exploratory Analysis of Spatial and Temporal Data; A Systematic Approac Natalia Andrienko,Gennady Andrienko Book 2006 Springer-Verlag Berli

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Risk Factors and Peptic Ulcer Pathology,on type”, in Bertin’s terms), i.e. what is the unknown information that needs to be found. At the elementary level, the target may be one or more characteristics (attribute values) or one or more references (referrer values). For example:.It is important that, when a task involves several references

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https://doi.org/10.1007/978-4-431-55936-8explain the overall behaviour of the characteristics over the entire reference set. In the course of the exploration, this general task is decomposed into subtasks of various types. We illustrate this view by several examples, in which datasets with different structures are considered and the explor

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Book 2006ration. ..Professionals practicing analysis will profit from tested solutions – illustrated in many examples – for reuse in the catalogue of techniques presented. Students and researchers will appreciate the detailed description and classification of exploration techniques, which are not limited to

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s – for reuse in the catalogue of techniques presented. Students and researchers will appreciate the detailed description and classification of exploration techniques, which are not limited to 978-3-662-49996-2978-3-540-31190-4

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Data, a dataset may contain any number of attributes..The examples demonstrate the three most important types of referrers:.The term “population” is used in an abstract sense to mean a group of any items, irrespective of their nature..We introduce a general view of a dataset structure as a function (in t

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Principles,explain the overall behaviour of the characteristics over the entire reference set. In the course of the exploration, this general task is decomposed into subtasks of various types. We illustrate this view by several examples, in which datasets with different structures are considered and the explor