Clementine: A data mining tool
Clementine is a data mining workbench that enables user to quickly develop predictive models using business expertise and deploy them into business operations to improve decision making. Designed around the industry-standard CRISP-DM model, Clementine supports the entire data mining process, from data to better business results.
The Clementine Client/Server: This release distributes client requests for resource-intensive operations to powerful server software, resulting in faster performance on larger data sets. Additional products or updates beyond those listed here may also be available.
- Clementine Client: Clementine Client is a functionally complete version of the product that is installed and run on the user’s desktop computer. It can be run in local mode as a stand-alone product or in distributed mode along with Clementine Server for improved performance on large data sets.
- Clementine Server: The Clementine Server runs continually in distributed analysis mode together with one or more Clementine Client installations. This provides superior performance on large data sets, because memory-intensive operations can be done on the server without downloading data to the client computer.
Clementine provides different approaches to solve the user's data mining problem:
- Feature selection: This approach uses fewer predictors and therefore is less expensive (fast model-building).
- Screening approaches: Anomaly Detection and modeling approach based on a Neural Net. This two approach can be used together.
- Discover affinities or links in a database: This is done by modeling (using GRI) and by visualization (using a web display).
