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
Yet Another Learning Environment(YALE)
YALE is an environment for machine learning experiments. A modular operator concept allows the design of complex nested operator chains for a huge number of learning problems. The data handling is transparent to the operators. They do not have to cope with the actual data format or different data views - the YALE core takes care of the necessary transformations. YALE is widely used by researchers and data mining companies.
Use YALE and explore your data! Simplify the construction of experiments and the evaluation of different approaches. Try to find the best combination of preprocessing and learning steps or let YALE do that automatically for you. The graphical user interface and the XML based scripting language turn YALE into an IDE for machine learning and data mining. Furthermore, this concept defines a standardized interchange format for data mining experiments.
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