Package: RODM
Version: 1.0
Date: 2010-05-01
Title: R interface to Oracle Data Mining
Author: Pablo Tamayo <pablo.tamayo@oracle.com> and Ari Mozes
        <ari.mozes@oracle.com>
Maintainer: Pablo Tamayo <pablo.tamayo@oracle.com>
Depends: R (>= 2.10.1), RODBC
Suggests: RODBC, mlbench, verification, PASWR, scatterplot3d
Description: 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).
License: GPL (>= 2)
URL: http://www.r-project.org
Packaged: 2010-05-26 17:38:56 UTC; Tamayo
Repository: CRAN
Date/Publication: 2010-05-26 19:58:47
