Today we are announcing the new IBM SPSS Modeler 17.
SPSS Modeler is the leading data mining workbench for predictive analytics. It enables you to explore data, clean it and build predictive models. IBM SPSS Modeler helps your users and systems make the right decision every time.
SPSS Modeler comes with a user-friendly interface that makes possible to analyze complex data sets and create powerful predictive models without programming. However the sophistication is there for those who want to take advantage of it. SPSS Modeler is coming with very powerful algorithms from IBM and also you can bring your own integrating with Open Source technologies such as R and Python.
Is this new release we are including Geospatial Analytics. We are adding support for geospatial data sources, geospatial data preparation capabilities and powerful mapping visualization.
You will find the following new SPSS nodes:
-Geospatial Source Node: Bring map or spatial data into your session. Accepts shape files (.shp) and also connection to ESRI server.
–Reprojection Node: Use it to change the coordinate system of your geospatial data.
-Spatio-Temporal Prediction: Algorithm to analyze location data with time field associated. It will predict not only what is going to happen in the future but also where and when!
-Maps Visualization Node: Display geospatial data on a map as a series of layers.
–Association Rules Node: We updated this powerful association algorithm and now it will find hidden connections also in geospatial data.