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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
Olap Navigator
Platform : Java
License : GNU GPL, other
Appears in these categories : Reporting, Query Tools Data Mining
License : GNU GPL, other
Appears in these categories : Reporting, Query Tools Data Mining
Olap Navigator is the web-based front-end for data warehouses. It allows IT departments of companies to set-up portal-like environment where staff and external data consumers may navigate enterprise data. Using Olap Navigator one can define easily accessible MDX-based interlinked dashboards, views and reports to present the data. Olap Navigator uses Google Web Toolkit as the UI widget library and Mondrian as the back-end to execute MDX queries. We test it mainly against Firebird databases, but it should work with any DBMS supported by Mondrian. Charts are created using jFreeChart library, geo data is presented using SVG and JavaScript. The tool was created because there was no other end user and programmer-friendly Open Source OLAP front-end. Olap Navigator is designed to surpass any JPivot-based solutions (e.g. Pentaho Dashboards, FreeAnalysis, etc) in ease of use and quality.
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