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Gather real-time insights into manufacturing systems with TIBCO's High Tech Manufacturing Accelerator. Capture sensor telemetry and apply validations and rules within a configurable equipment hierarchy. Monitor equipment status, part production, and compute Overall Equipment Effectiveness (OEE), providing intelligence sooner to enable actions to optimize production.
Last Updated on 9:23am Jan 09, 2019 by TIBCO Software
Create Shewhart control charts such as Xbar-R/Xbar-S, Individual-Moving Range (IMR), and Exponentially Weighted Moving Average (EWMA)
Last Updated on 12:33pm Jun 12, 2018 by TIBCO Software
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
This data function clusters objects together based on similarities between the objects in each cluster.  After identifying clusters, the function then ranks the input variables according to their influence on cluster formation.  
Last Updated on 12:58am Jun 04, 2018 by TIBCO Software
This template features a typical analytical workflow for building predictive classification data mining models with TIBCO Statistica™. In this template the user can simply change the input data source and run the whole modelling process on the new data with one click.
Last Updated on 6:25am Jul 29, 2018 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
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
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

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