A wavelet-based watermarking algorithm for ownership by Wang

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2005). , the process of standardizing data representation and eliminating a wider range of errors. , evaluating the data quality), gathering several aggregate data statistics that constitute the data profile and ensuring that the values match up with expectations. However, Infovis applications look at these issues in a different way, and the straightforward adoption of the solutions proposed in the database field could be either a valid solution or represent an obstacle to the analysis process.

Zoom), representing data items as single pixel, space filling, and dimensional reordering. Animation techniques use the time axis to reduce clutter. 18 (a) bidimensional scatterplot (postal parcels plotted by weight and volume). 36 3. 15: Focus plus context examples. 2. 16: Examples of distortion. A similar objective has been pursued by other researchers whose main goal is to find the best mapping between the dataset and specific visual configurations. 14), which maps all the data dimensions in a series of two-dimensional scatter plots to select pairs of dimensions showing the most interesting patterns.

In order to determine the usefulness of visual data mining systems, the importance of usability studies cannot be overemphasized. On the same note, it is worth acknowledging that the lack of precise theory or a universal/standard framework for developing visual data mining systems may not only be partly responsible for the current situation whereby each visual data mining system seems to be an ad-hoc development but may also, to some extent at least, complicate the usability issue as far as the visual data mining field is concerned.

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