SPSS Clementine version 7.0: The client front-end runs under Windows.
In early 2000 the software was developed into a client / server architecture, and shortly afterward the client front-end interface component was completely re-written and replaced with a new Java front-end, which allowed deeper integration with the other tools provided by SPSS. In 1998 ISL was acquired by SPSS Inc., who saw the potential for extended development as a commercial data mining tool. 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.
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. The tool quickly garnered the attention of the data mining community (at that time in its infancy). The original Clementine was implemented in Poplog, which ISL marketed for Sussex University.Ĭlementine 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. Clementine was originally developed by a UK company named Integral Solutions Limited (ISL), in Collaboration with Artificial Intelligence researchers at Sussex University. The first version was released on Jun 9th 1994, after Beta testing at 6 customer sites.
IBM SPSS Modeler was originally named Clementine by its creators, Integral Solutions Limited. The first version incorporated decision trees (ID3), and neural networks (backprop), which could both be trained without underlying knowledge of how those techniques worked. 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. It has a visual interface which allows users to leverage statistical and data mining algorithms without programming. It is used to build predictive models and conduct other analytic tasks.
IBM SPSS Modeler is a data mining and text analytics software application from IBM.