RODM (1.1)

1 user

R interface to Oracle Data Mining.

http://www.r-project.org
http://cran.r-project.org/web/packages/RODM

This package implements an interface to Oracle Data Mining (ODM). It provides an ideal environment for rapid development of demos and proof of concept data mining studies. It facilitates the prototyping of vertical applications and makes ODM and the RDBMS environment easily accessible to statisticians and data analysts familiar with R but not fluent in SQL or familiar with the database environment. It also facilitates the benchmarking and testing of ODM functionality including the production of summary statistics, performance metrics and graphics. It enables the scripting and control of production data mining methodologies from a high-level environment. Oracle Data Mining (ODM) is an option of Oracle Relational Database Management System (RDBMS) Enterprise Edition (EE). It contains several data mining and data analysis algorithms for classification, prediction, regression, clustering, associations, feature selection, anomaly detection, feature extraction, and specialized analytics. It provides means for the creation, management and operational deployment of data mining models inside the database environment. For more information consult the entry for "Oracle Data Mining" in Wikipedia (en.wikipedia.org).

Maintainer: Pablo Tamayo
Author(s): Pablo Tamayo <pablo.tamayo@oracle.com> and Ari Mozes <ari.mozes@oracle.com>

License: LGPL (>= 2)

Uses: RODBC, RODBC, mlbench, scatterplot3d, verification, PASWR

Released over 8 years ago.


1 previous version

Ratings

Overall:

  (0 votes)

Documentation:

  (0 votes)

Log in to vote.

Reviews

No one has written a review of RODM yet. Want to be the first? Write one now.


Related packages:(20 best matches, based on common tags.)


Search for RODM on google, google scholar, r-help, r-devel.

Visit RODM on R Graphical Manual.