Toward Usable Interactive Analytics: Coupling Cognition and Computation.

Chang, Remco.

Endert, Alex.

North, Chris.

Zhou, Michelle.

2014.

Description
  • Interactive analytics provide users a myriad of computational means to aid in extracting meaningful information from large and complex datasets. Much prior work focuses either on advancing the capabilities of machine-centric approaches by the data mining and machine learning communities, or human-driven methods by the visualization and CHI communities. However, these methods do not yet support a t... read more
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  • Endert, Alex, Chris North, Remco Chang, and Michelle Zhou. "Toward Usable Interactive Analytics: Coupling Cognition and Computation." Paper presented at Workshop on on Interactive Data Exploration and Analytics (IDEA), KDD2014, New York, New York, August 24-27, 2014.
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