Introduction to Time Series Forecasting [AAT-202]
Speaker(s): Peter Myers
Imagine taking historical stock market data and using data science to more accurately predict future stock values. This is precisely the aim of the Microsoft Time Series data mining algorithm. Of course, your objective doesn't need to be personal profit to attend this session!
SQL Server Analysis Services includes the Microsoft Time Series algorithm to provide an approach to intuitive and accurate time series forecasting. The algorithm can be used in scenarios where you have a historic series of data and where you need to predict a future series of values based on more than just your gut instinct.
This session will describe how to prepare data, create and query time series data mining models, and interpret query results. Various demonstration data mining models will be created by using Visual Studio and, in self-service scenarios, by using the data mining add-ins available in Excel.
