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This template detects anomalous data points in a dataset using an autoencoder algorithm.  It features automated machine learning to facilitate use by business analysts and citizen data scientists.  The Time Series release of the template includes time series analysis and clustering of anomalies
Last Updated on 10:46am Jan 16, 2019 by TIBCO Software
Extreme Gradient Boosting or XGBoost is a supervised Machine-learning algorithm used to predict a target variable Y given a set of features – Xi
Last Updated on 8:49pm May 22, 2018 by TIBCO Software
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.
Last Updated on 9:23am Jan 09, 2019 by TIBCO Software
Analyze your Big Data FAST with the use of this accelerator.  Gain insights into your historical data and act in real time on the current streams of data in conjunction with historical analysis to make crucial decisions when it matters.
Last Updated on 9:23am Jan 09, 2019 by TIBCO Software
Random Forest is an ensemble tree machine-learning algorithm.  This template employs supervised learning to determine variable importance and make predictions. It features automated machine learning to facilitate use by business analysts and citizen data scientists.
Last Updated on 8:48pm May 22, 2018 by TIBCO Software
Random forests are an ensemble decision tree machine learning method for classification and regression.
Last Updated on 8:48pm May 22, 2018 by TIBCO Software
Identify potentially fraudulent activities in a high-frequency transaction stream using TIBCO's Financial Fraud Detection Accelerator. Build supervised and unsupervised models and hot deploy these on the event processing platform. Score transactions in real-time and raise cases for investigation when potential fraud is detected.
Last Updated on 9:23am Jan 09, 2019 by TIBCO Software
This template is used to create a GBM machine learning model to understand the effects of predictor variables on a single response. 
Last Updated on 7:48pm May 22, 2018 by TIBCO Software
This analysis implements simple frequency-severity models for Operational Risk event types. This forms the basis of the Loss Distribution Approach alternative in the Basel regulations.
Last Updated on 7:23pm May 22, 2018 by TIBCO Software

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