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Contents → Documentation Accessibility Related Documentation Conventions What's New in Oracle Data Mining? Oracle … Data Mining 11 g Release 1 (11.1) New Features Oracle Data Mining 10 g Release 2 (10.2) New … Features Part I Introductions 1 What Is Data Mining?
Contents → Mining Administration No DMSYS Schema Mining Models in the Oracle Data Dictionary Enhanced Security … Create a Data Mining Demo User Run the Sample Programs View the Source Code Run the PL/SQL Sample … Programs 2 Connecting to a Data Mining Database Your User ID Connect
Contents → Documentation Accessibility Related Documentation Conventions What's New in Oracle Data Mining? Oracle … Data Mining 11 g Release 1 (11.1) New Features Oracle Data Mining 10 g Release 2 (10.2) New … Features 1 Data Mining API Use Cases Analyze Customer
Overview of Data Mining → built from low-cost commodity components. Overview of Data Mining Oracle Data M ining embeds data … mining in the Oracle Database. The data never leaves the database — data preparation, model building … Database provides an infrastructure for application developers to
Data Mining Functions → The data mining functions operate on models that have been built using the DBMS_DATA_MINING package … or the Oracle Data Mining Java API. The SQL data mining functions are: CLUSTER_ID
Oracle Data Mining → In Oracle Database 11 g, Data Mining metadata is created with the SYS metadata. It is created by … : Oracle Data Mining Administrator's Guide for more information about Oracle Data Mining … the catproc.sql and other scripts that are run as the SYS user. You no longer configure the Data
Data Mining → Data mining uses large quantities of data to create models. These models can provide insights that … are revealing, significant, and valuable. For example, data mining can be used to: Predict those … fraudulent behavior. Data mining is not restricted to solving business
Oracle Data Mining → In Oracle Database 11 g, Data Mining metadata is created with the SYS metadata. It is created by … : Oracle Data Mining Concepts for more information about Oracle Data Mining … the catproc.sql and other scripts that are run as the SYS user. You no longer configure the Data
OLAP and Data Mining Comparison → OLAP and data mining are used to solve different kinds of analytic problems: OLAP provides summary … sales next quarter? What is the trend as measured by percent change?\" Data mining discovers hidden … patterns in data. Data mining operates at a detail level instead
Oracle Data Mining Scoring Engine → Starting with Oracle Database 11 g Release 1 (11.1), the Oracle Data Mining Scoring Engine can no … longer be installed. See Also: Oracle Data Mining Administrator's Guide
23 OLAP and Data Mining → your data warehouse with advance analytics using OLAP (On-Line Analytic Processing) and data mining … . Rather than having a separate OLAP or data mining engine, Oracle has integrated OLAP and data mining … capabilities directly into the database server. Oracle OLAP
Data Transformation with Oracle Data Mining → A transformation is a SQL expression that modifies one or more of the columns used in data mining … . Most data mining algorithms require some form of data transformation. Some transformations may be … changes in each data set can be very time consuming. Oracle Data
2.1.4 Oracle® Database 11g Data Mining Documentation → Table 2-4 Oracle® Database Data Mining Documentation Documentation Part Number Description Oracle … Data Mining Concepts B28129-01 Discusses the basic concepts underlying Oracle Data Mining. Details of … programming with the Java and PL/SQL interfaces are discussed in the Oracle Data
1.4.4 Predictive Analytics and Data Mining → Analytics and Data Mining Oracle Database 11 g simplifies the management of data mining processing … , increases the integration of data mining with SQL, and introduces new analytic capabilities. … -based approach to determining the best data within the cube to preaggregate
OLAP Technology in the Oracle Database → native multidimensional storage and speed-of-thought response times when analyzing data across multiple … multidimensional format. Cubes and other dimensional objects are first class data objects represented in the Oracle … data dictionary. Data security is administered in the standard way, by granting and revoking
OLAP Overview → Oracle OLAP uses a multidimensional data model to perform complex statistical, mathematical, and … financial analysis of historical data in real time. Oracle OLAP is fully integrated in the database
Querying Dimensional Objects → data You can use your favorite tool or application, or use one of the tools supplied with Oracle
Tools for Creating and Managing Dimensional Objects → Analytic Workspace Manager is the primary tool for creating, developing, and managing dimensional objects in Oracle Database. Oracle OLAP is contained in the database and its resources are managed using the same tools, such as Oracle Enterprise Manager Database Control, Automatic Workload Repository, and Automatic Database Diagnostic Monitor.
Contents → a Staging Area and Data Marts Extracting Information from a Data Warehouse Data Mining Oracle Data … Mining Functionality Oracle Data Mining Interfaces Part II Logical Design 2 Logical Design in Data … Data Mining
Downgrading Oracle Data Mining → Before downgrading the database back to the previous version, ensure that there are no 11 g mining … mining models in the database, you must manually delete them using the DBMS_DATA_MINING.DROP_MODEL