Data Mining
Data Mining:
A process of analysing business data (often stored in a data warehouse) to uncover hidden trends and patterns and establish relationships. Data mining is normally performed by expert analysts who use specialist software tools.
From: www.oranz.co.uk/glossary_text.htm
The process of using statistical techniques to discover subtle relationships between data items, and the construction of predictive models based on them. The process is not the same as just using an OLAP tool to find exceptional items. Generally, data mining is a very different and more specialist application than OLAP, and uses different tools from different vendors. Normally the users are different, too. OLAP vendors have had little success with their data mining efforts.
From : www.olapreport.com/glossary.htm
ROSETTA
ROSETTA is a toolkit for analyzing tabular data within the framework of rough set theory. ROSETTA is designed to support the overall data mining and knowledge discovery process: From initial browsing and preprocessing of the data, via computation of minimal attribute sets and generation of if-then rules or descriptive patterns, to validation and analysis of the induced rules or patterns.
ROSETTA is intended as a general-purpose tool for discernibility-based modelling, and is not geared specifically towards any particular application domain.
ROSETTA offers a highly intuitive GUI environment where data-navigational abilities are emphasized. The GUI is highly object-oriented in that all manipulable objects are represented as individual GUI items, each with their own set of context-sensitive menus.
The computational kernel is also available as a command-line program, suitable for being invoked from, e.g., Perl or Python scripts.
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ROSETTA
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