Information Retrieval Perspective to Interactive Data Visualization

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dc.contributor.authorPeltonen, Jaakkoen_US
dc.contributor.authorSandholm, Maxen_US
dc.contributor.authorKaski, Samuelen_US
dc.contributor.editorMario Hlawitschka and Tino Weinkaufen_US
dc.date.accessioned2014-01-26T10:52:43Z
dc.date.available2014-01-26T10:52:43Z
dc.date.issued2013en_US
dc.description.abstractDimensionality reduction for data visualization has recently been formulated as an information retrieval task with a well-defined objective function. The formulation was based on preserving similarity relationships defined by a metric in the input space, and explicitly revealed the need for a tradeoff between avoiding false neighbors and missing neighbors on the low-dimensional display. In the harder case when the metric is not known, the similarity relationships need to come from the user. We formulate interactive visualization as information retrieval under uncertainty about the true similarities, which depend on the user's tacit knowledge and interests in the data. During the interaction the user points out misses and false positives on the display; based on the feedback the metric is gradually learned and the display converges to visualizing similarity relationships that correspond to the tacit knowledge of the user.en_US
dc.description.seriesinformationEuroVis - Short Papersen_US
dc.identifier.isbn978-3-905673-99-9en_US
dc.identifier.urihttps://doi.org/10.2312/PE.EuroVisShort.EuroVisShort2013.049-053en_US
dc.publisherThe Eurographics Associationen_US
dc.subjectH.5.m [Information interfaces and presentation (e.g.en_US
dc.subjectHCI)]en_US
dc.subjectMiscellaneousen_US
dc.titleInformation Retrieval Perspective to Interactive Data Visualizationen_US
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