Analyze and Classify Data / Statistics/Machine Learning
Articles about statistical analysis, including TimeSeries, SPSS, R, SparkMLLib and more.

RealTime Decomposition of Time Series 
Introduction to the Spark MLLib Toolkit in IBM Streams V4.1 Ankit Pasricha is the team lead of the IBM Streams Toolkit development team. In his presentation, Ankit will introduce the new Spark MLLib Toolkit that is available in IBM Streams V4.1. This toolkit combines the power of Spark MLLib and the realtime streaming capabilities of Streams.

Getting Started with the Spark MLLib Toolkit Apache Spark is a fast general purpose clustering system that is well suited for machine learning algorithms. This guide will demonstrate how you can use these algorithms in Streams.

Predicting the Future in a Streams Application Time series forecasting is a very broad subject. The ability to forecast future values is applicable in areas such as sales forecasting, stock market analysis and utilities forecasting (i.e. energy consumption). Forecasting can be a complicated subject as there many different forecasting algorithms, with each algorithm having certain properties that only makes it useful in specific circumstances. This article demonstrates how to easily introduce forecasting into an application using the AutoForecaster operator.

Support for SPSS Analytics Toolkit in Bluemix Streaming Analytics Service The Bluemix Streaming Analytics Service provides support for the SPSS Analytics Toolkit. With this support, your Streams application can perform instream predictive scoring using one of your predefined SPSS models.

Anomaly Detection in Streams This article demonstrates how to use the AnomalyDetector operator, which is capable of detecting anomalous subsequences in a streaming time series.

SPSS Analytics Toolkit Lab Leverage the analytics of SPSS in realtime using the IBM SPSS Analytics Toolkit for Streams.

Bandpass and bandstop filters using the DSPFilter operator 
R Toolkit Lab Integrate R Statistical Computing with streams.

IBM SPSS and Streams FAQ Learn about SPSS and Streams Integration. Why should you? What you need? And tutorial information.