Interactive Dynamics for Visual Analysis - ACM Queue
The increasing scale and availability of digital data provides an
extraordinary resource for informing public policy, scientific
discovery, business strategy, and even our personal lives. To get the
most out of such data, however, users must be able to make sense of it:
to pursue questions, uncover patterns of interest, and identify (and
potentially correct) errors. In concert with data-management systems and
statistical algorithms, analysis requires contextualized human
judgments regarding the domain-specific significance of the clusters,
trends, and outliers discovered in data.
http://bit.ly/wLEHJ4Source:
http://queue.acm.org/detail.cfm?id=2146416
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