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  • Chen, Peng; Plale, Beth; Aktas, Mehmet S. (, 2012-09)
    Provenance of digital scientific data is an important piece of the metadata of a data object. It can however grow voluminous quickly because the granularity level of capture can be high. It can also be quite feature rich. ...
  • Ruan, Guangchen; Zhang, Hui; Wernert, Eric; Plale, Beth (2014-07-13)
    As digital data sources grow in number and size, they pose an opportunity for computational investigation by means of text mining, NLP, and other text analysis techniques. R is a popular and powerful text analytics tool; ...
  • Chen, Peng; Plale, Beth; Cheah, You-Wei; Ghoshal, Devarshi; Jensen, Scott; Luo, Yuan (2012-09)
    Visualization facilitates the understanding of scientific data both through exploration and explanation of the visualized data. Provenance also contributes to the understanding of data by containing the contributing factors ...

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