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Contents → Conventions What's New in Oracle Data Mining Administration? Oracle Database 11 g Release 2 (18.104.22.168 … ) Oracle Data Mining Oracle Database 11 g Release 2 (22.214.171.124) New Features in Oracle Data Mining Oracle … Database 11g Release 1 New Features in Oracle Data Mining
Contents → Documentation Accessibility Related Documentation Conventions What's New in Oracle Data Mining? Oracle … Database 11 g Release 2 (126.96.36.199) Oracle Data Mining Oracle Database 11 g Release 2 (188.8.131.52 … ) Oracle Data Mining Oracle Database 11 g Release 1 (11.1) Oracle Data
Contents → Documentation Accessibility Related Documentation Conventions What's New in the Oracle Data Mining … APIs? Oracle Data Mining 11 g Release 2 (184.108.40.206) API New Features Oracle Data Mining 11 g Release 2 … (220.127.116.11) API New Features 1 Data Mining API
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 … PREDICTION_DETAILS PREDICTION_PROBABILITY PREDICTION_SET See Also: Oracle Data Mining
Data Mining → Diagnostic Monitor. Data Mining Data mining uses large quantities of data to create models. These … involved with a disease. Identify fraudulent behavior. Data mining solves many kinds of business problems … . For example, data mining
data mining → The automated search of large stores of data for patterns and trends that transcend simple analysis.
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
Contents → Uniform Availability of Summary Data Tools for Creating and Managing Dimensional Objects Data Mining … Oracle Data Mining Functionality Oracle Data Mining Interfaces Part II Logical Design 2 Logical Design … Conventions What's New in Oracle Database? Oracle Database
Data Mining and Statistics → There is a great deal of overlap between data mining and statistics. In fact most of the techniques … used in data mining can be placed in a statistical framework. However, data mining techniques are … correlations based on smaller, representative samples of a larger population. Data
The Data Mining Process → Figure 1-1 illustrates the phases, and the iterative nature, of a data mining project. The process … flow shows that a data mining project does not stop when a particular solution is deployed. The … results of data mining trigger new business questions, which in turn can be used to develop
Data Mining Target Tables → Table 10-2 lists the Oracle Retail Data Model data mining target tables. Table 10-2 Oracle Retail … Data Model Data Mining Target Tables Table Name Associated Data Mining Model
Oracle Data Mining Functions → Oracle Data Mining supports the supervised data mining functions described in Table 2-1. Table 2-1 … Oracle Data Mining Supervised Functions Function Description Sample Problem Attribute Importance … customers' age Oracle Data Mining supports the unsupervised
Refreshing Data mining models → of the first component completes successfully. This component refreshes data mining models based on … documentation for the Advanced Analytics option of the database (because data mining is a process as such … available data. The mining intra-ETLs should be customized to correspondingly
Downgrade Data Mining → ) mining models were created in the upgraded database. Issue the following SQL statement in SYS to … are any 11 g Release 2 (11.2) mining models in the database, you must manually delete them using the
Mining Unstructured Data → Part V Mining Unstructured Data In Part V, you will learn how to use Oracle Data Mining to mine … text and other forms of unstructured data. Part V contains the following chapters: Chapter 20, \"Text Mining\"
Data Mining Terminology → Oracle Data Mining and the Oracle R Enterprise OREdm package that creates statistical models use … models, whereas Oracle Data Mining builds or trains models. Oracle R Enterprise predicts using new data … , whereas Oracle Data Mining scores new data,
Unsupervised Data Mining → … Unsupervised Learning: Scoring Although unsupervised data mining does not specify a target, most … descriptive data mining techniques, but they can be applied to classify cases according to their cluster … point is typical among a set of cases. Oracle Data Mining supports the
What Is Data Mining? → Data mining is the practice of automatically searching large stores of data to discover patterns … and trends that go beyond simple analysis. Data mining uses sophisticated mathematical algorithms to … segment the data and evaluate the probability of future events. Data
Data Mining Functions → A basic understanding of data mining functions and algorithms is required for using Oracle Data … Mining. This section introduces the concept of data mining functions. Algorithms are introduced in … \"Data Mining Algorithms\". Each data
Supervised Data Mining → previously known dependent attribute or target. Directed data mining attempts to explain the behavior of … purpose of classification and regression, the principal supervised mining techniques. Oracle Data Mining … attributes that are most important in predicting a target value. See Also: Table 2-1, \"Oracle