SPSS Clementine

Clementine is a mature data mining toolkit which aims to allow domain experts (normal users) to do their own data mining.

Clementine has a visual programming or data flow interface, which simplifies the data mining process.

Clementine applications include customer segmentation/profiling for marketing companies, fraud detection, credit scoring, load forecasting for utility companies, and profit prediction for retailers.

SPSS Clementine was one of the very first general purpose data mining tools, and one of the most popular data mining packages

Software Form edit

Name Clementine
Brief Summary Visual Programming Interface, accessible to non-technical users, wide variety of DM methods
License Type Commercial Licence
Data Mining Approaches Classification Discovery, Cluster Discovery, Regression Discovery, Association Discovery, Text Mining, Outlier Discovery, Data Visualisation, Discovery Visualisation, Sequence Analysis, Web Analytics, Social Network Analysis
Currently Available Currently Available
Website http://www.spss.com/clementine/
Topic revision: r4 - 31 Mar 2008, AndyPryke

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