Overview of Predictive Analytics Using Oracle Data Miner: Develop & Use Data Mining Models in Oracle Data Miner, SQL & PL/SQL Book

Perform in-database data mining to unlock hidden insights in data. Written by an Oracle ACE Director, Predictive Analytics Using Oracle Data Miner shows you how to use this powerful tool to create and deploy advanced data mining models. Covering topics for the data scientist oracle developer and Oracle database administrator, this Oracle Press guide shows you how to get started with Oracle Data Miner and build Oracle Data Miner models using SQL and PL/SQL packages. You ll get best practices for integrating your Oracle Data Miner models into applications to automate the discovery and distribution of business intelligence predictions throughout the enterprise. Book Features: Create Oracle Data Miner projects and workflows Build and use data mining models using SQL and PL/SQL packages Develop data mining models using association rule analysis, classification, clustering, regression and anomaly detectionTable of Contents: Part I: Oracle Data Miner Fundamentals Oracle Data Miner The Predictive Modeling Lifecycle How to Install, Set Up and Get Started PART II: Using the Oracle Data Miner Tool ODM Menus, Projects and Workflows Exploring Your Data Data Preparation Association Rule Analysis Classification Clustering Regression Anomaly Detection Part III: Data Mining Using SQL and PL/SQL The ODM Data Dictionary, SQL and PL/SQL Packages Data Preparation Association Rule Analysis Classification Clustering Regression Anomaly Detection Part IV: Migration and Implementations How to Migrate Your ODM Models Implementation-Related Topics

• Book Type :

ComputerScience

Book Binding :

Paperback

Language :

English

Number of Pages :

464 pages

ISBN - 10 :

9339222512

Predictive Analytics Using Oracle Data Miner: Develop & Use Data Mining Models in Oracle Data Miner, SQL & PL/SQL Published On :

1 Jun 2015

Resource:

Students and Professionals:Textbooks, ComputerScience

Disclaimer:

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