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Applications

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Applications

Industrial and generic solutions such as Spotfire Copilot™

31 files

  1. This Spotfire template guides the user through the tasks of adhoc data discovery, supervised model creation and unsupervised model creation to build a strategy for combating financial crime.
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  2. This template is used to create a GBM machine learning model to understand the effects of predictor variables on a single response.
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  3. Random Forest is an ensemble tree machine-learning algorithm. This template employs supervised learning to determine variable importance and make predictions.
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  4. This Spotfire® template guides user through the entire model building process of supervised classification.
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  5. This Spotfire® extension allows action to be taken whenever a user pans or zooms a Map Chart Visualization.
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  6. Create Shewhart control charts such as Xbar-R/Xbar-S, Individual-Moving Range (IMR), and Exponentially Weighted Moving Average (EWMA)
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