A Visual Analytics Approach for the Diagnosis of Heterogeneous Multidimensional Machine Maintenance Data from ieee dataset Watch Video
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⏲ Duration: 10 min 31 sec ✓ Published: 18-Aug-2021
Description: Analysis of large, high-dimensional, and heterogeneous datasets is challenging as no one technique is suitable for visualizing and clustering such data in order to make sense of the underlying information. For instance, heterogeneous logs detailing machine repair and maintenance in an organization often need to be analyzed to diagnose errors and identify abnormal patterns, formalize root-cause analyses, and plan preventive maintenance. Such real-world datasets are also beset by issues such as in
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