RODM: R interface to Oracle Data Mining
Version 1.1

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).

Package details

AuthorPablo Tamayo <pablo.tamayo@oracle.com> and Ari Mozes <ari.mozes@oracle.com>
Date of publication2012-10-29 08:57:32
MaintainerPablo Tamayo <pablo.tamayo@oracle.com>
LicenseLGPL (>= 2)
Version1.1
URL http://www.r-project.org
Package repositoryView on CRAN
Installation Install the latest version of this package by entering the following in R:
install.packages("RODM")

Try the RODM package in your browser

Any scripts or data that you put into this service are public.

RODM documentation built on May 29, 2017, 8:53 p.m.