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SPSS Modeler

IBM SPSS Modeler
IBM SPSS Modeler Logo.jpg
SPSS Modeler Sample Stream.png
Data mining tool
Developer(s) IBM Corp.
Stable release
18.0 / March 2016; 1 year ago (2016-03)
Operating system Windows, Linux, Unix, Mac OS X
Type Data mining and Predictive analytics
License Proprietary software
Website www-01.ibm.com/software/analytics/spss/products/modeler/

IBM SPSS Modeler is a data mining and text analytics software application from IBM. It is used to build predictive models and conduct other analytic tasks. It has a visual interface which allows users to leverage statistical and data mining algorithms without programming. One of its main aims from the outset was to get rid of unnecessary complexity in data transformations, and to make complex predictive models very easy to use. The first version incorporated decision trees (ID3), and neural networks (backprop), which could both be trained without underlying knowledge of how those techniques worked.

IBM SPSS Modeler was originally named Clementine by its creators, Integral Solutions Limited. This name continued for a while after SPSS's acquisition of the product. SPSS later changed the name to SPSS Clementine, and then later to PASW Modeler. Following IBM's 2009 acquisition of SPSS, the product was renamed IBM SPSS Modeler, its current name.

SPSS Modeler has been used in these and other industries:

IBM sells the current version of SPSS Modeler (version 17) in two separate bundles of features. These two bundles are called "editions" by IBM:

Both editions are available in desktop and server configurations.

Early versions of the software were called Clementine and were Unix based. The first version was released on Jun 9th 1994, after Beta testing at 6 customer sites. Clementine was originally developed by a UK company named Integral Solutions Limited (ISL), in Collaboration with Artificial Intelligence researchers at Sussex University. The original Clementine was implemented in Poplog, which ISL marketed for Sussex University. Clementine mainly used the Poplog languages, Pop11, with some parts written in C for speed (such as the neural network engine), along with additional tools provided as part of Solaris, VMS and various versions of Unix. The tool quickly garnered the attention of the data mining community (at that time in its infancy). In order to reach a larger market, ISL then Ported Poplog to Microsoft Windows using the NutCracker package, later named MKS Toolkit to provide the Unix graphical facilities. Original in many respects, Clementine was the first data mining tool to use an icon based Graphical user interface rather than requiring users to write in a Programming language, though that option remained available for expert users.


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