Description

This topic plays an important role in real-world machine learning applications like re commender systems, stock market analysis, anomaly detections and Internet of Things sensor data [0]. The goal of the project is to create basic models using Spark [1,2] and Streaming Random Forest (Mondrian Forest) [3,4] and to apply the created algorithms in order to analyze streaming data like meeting calls [5] or financial data [6].

The analysis will obey investigation of a time window width (length of analyzed data) on the accuracy of resulting predictions.