Oracle Data Mining Online Training

Oracle Data Mining offers a powerful, state-of-the-art data mining capability within Oracle Database. You can utilize Oracle Data Mining to build and deploy predictive and descriptive data mining applications, to add intelligent capabilities to existing applications, and to generate predictive queries for data exploration. Oracle Data Mining provides a comprehensive set of in-database algorithms for performing a variety of mining tasks, like classification, regression, anomaly detection, feature extraction, clustering, and market basket analysis. The algorithms can work on standard case data, transactional data, star schemas, and text and other forms of unstructured data. Oracle Data Mining is suited to the mining of very large data sets.

PREREQUISITES
A basic working knowledge of: The SQL language and Oracle Database design and
administration

Key Business Benefits:
 Eliminate data movement, achieve big data scalability, preserve security, and
accelerate time from model development to model deployment
 Move easily between Oracle Database environments to support development
staging and production deployment scenarios for Oracle Machine Learning models
and associated data assembly, transformation, and preparation scripts
 Empower employees with a diverse skillset with in-database machine learning
algorithms, enabling data-driven projects
 Easy to use and drop user face accelerates knowledge discovery and model
building for citizen data scientists
 Workflows document the machine learning methodologies developed for sharing
and automation
 Generates SQL and PL/SQL scripts from workflows to automate and accelerate
model deployment throughout the enterprise
 Workflow API enables programmatic workflows invocation

Application of Data Mining:

 Data mining helps companies to get knowledge-based information.
 It can be implemented in new systems as well as existing platforms
 Data mining helps organizations to make the profitable adjustments in operation and
production.
 Facilitates automated prediction of trends and behaviours as well as automated
discovery of hidden patterns.
 The data mining is a cost-effective and efficient solution compared to other
statistical data applications.
 Data mining helps with the decision-making process.
 It is the speedy process which makes it easy for the users to analyze huge amount of
data in less time.