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
ADaM
ADaM is a data mining toolkit designed for use with scientific and image data. It includes pattern recognition, image processing, optimization, and association rule mining capabilities. ADaM does not contain grid projection, advanced subsetting, advanced statistical analysis, format conversion, visualization or other types of tools that may be useful in the analysis of scientific data sets. The system consists of a set of individual components that can be used together to perform complex tasks. Components are packaged as executables and Python Module, which has all the components as module functions and can be called through python scripts.
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ADaM
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