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Showing 1 to 2 of 2 for “"data science integration"”.

  1. Visualization for Solving Non-image Problems and Saliency Mapping

    <p>High-dimensional data play an important role in knowledge discovery and data science. Integration of visualization, visual analytics, machine learning (ML), and data mining (DM) are the key aspects of data science research for high-dimensional data. This thesis is to explore the efficiency of a …

    central-wash Repository record for Visualization for Solving Non-image Problems and Saliency Mapping (opens in a new tab)

  2. Data Science for Multisectoral Water Use Management and STEM Education: A Synergistic Approach

    The unprecedented data deluge across disciplines offers transformative potential for addressing 21st century challenges, including sustainable water resources management amid climate change and population growth and transforming higher education. Data science provides a comprehensive framework for …

    vt Repository record for Data Science for Multisectoral Water Use Management and STEM Education: A Synergistic Approach (opens in a new tab)