Oracle Data Mining provides a powerful, state-of-the-art data mining capability within Oracle Database. You can use 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.

A basic understanding of data mining techniques and algorithms is required for using Oracle Data Mining. Each data mining technique specifies a class of problems that can be modeled and solved. Data mining techniques fall generally into two categories: supervised and unsupervised .

Oracle Data Mining offers a comprehensive set of in-database algorithms for performing a variety of mining tasks, such as classification, regression, anomaly detection, feature extraction, clustering, and market basket analysis.

Oracle Data Mining (ODM) is an option of Oracle Database Enterprise Edition. It contains several data mining and data analysis algorithms for classification, prediction, regression, associations, feature selection, anomaly detection, feature extraction, and specialized analytics.

Oracle Data Miner is an extension to Oracle SQL Developer and enables data scientists and business and data analysts to view data, rapidly build multiple machine learning models, compare and evaluate multiple models, apply them to new data and accelerate model deployment.

Oracle Data Mining, a collection of machine learning algorithms embedded in the Oracle Database, allows you to discover new insights, segments and associations, make more accurate predictions, find key variables, detect anomalies, and extract more information from your data.

Oracle Data Mining helps businesses to target their best customers, find and prevent fraud, discover the most influential attributes that affect Key Performance Indicators (KPIs), and find valuable new information hidden in the data.

Prepare the build, test, and scoring data using the DBMS_DATA_MINING_TRANSFORM package or other third-party tool or direct SQL or PL/SQL utility scripts in a manner suitable for the chosen mining function and algorithm.

In this course, students review the basic concepts of data mining and learn how leverage the predictive analytical power of the Oracle Database Data Mining option by using Oracle Data Miner 11g Release 2.

Learn how to solve business problems using the Oracle Data Mining application programming interface (API).