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Build Next-Generation In-Database Predictive Analytics Applications with Oracle Data Miner
“If you have an Oracle Database and want to leverage that data to discover new insights, make predictions, and generate actionable insights, this book is a must read for you! In Predictive Analytics Using Oracle Data Miner: Develop & Use Oracle Data Mining Models in Oracle Data Miner, SQL & PL/SQL, Brendan Tierney, Oracle ACE Director and data mining expert, guides you through the basic concepts of data mining and offers step-by-step instructions for solving data-driven problems using SQL Developer’s Oracle Data Mining extension. Brendan takes it full circle by showing you how to deploy advanced analytical methodologies and predictive models immediately into enterprise-wide production environments using the in-database SQL and PL/SQL functionality. Definitely a must read for any Oracle data professional!” --Charlie Berger, Senior Director Product Management, Oracle Data Mining and Advanced Analytics
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.
- Install and configure Oracle Data Miner for Oracle Database 11g Release 11.2 and Oracle Database 12c
- Create Oracle Data Miner projects and workflows
- Prepare data for data mining
- Develop data mining models using association rule analysis, classification, clustering, regression, and anomaly detection
- Use data dictionary views and prepare your data using in-database transformations
- Build and use data mining models using SQL and PL/SQL packages
- Migrate your Oracle Data Miner models, integrate them into dashboards and applications, and run them in parallel
- Build transient data mining models with the Predictive Queries feature in Oracle Database 12c
- Sales Rank: #791298 in Books
- Published on: 2014-08-05
- Released on: 2014-08-05
- Original language: English
- Number of items: 1
- Dimensions: 9.10" h x .90" w x 7.40" l,
- Binding: Paperback
- 464 pages
From the Back Cover
"If you have an Oracle Database and want to leverage that data to discover new insights, make predictions and generate actionable insights, this book is a must read for you! In "Predictive Analytics Using Oracle Data Miner: Develop & Use Oracle Data Mining Models in Oracle Data Miner, SQL & PL/SQL," Brendan Tierney, Oracle ACE Director and data mining expert, guides you through the basic concepts of data mining and offers step-by-step instructions for solving data-driven problems using SQL Developer's Oracle Data Mining extension. Brendan takes it full circle by showing you how to deploy advanced analytical methodologies and predictive models immediately into enterprise-wide production environments using the in-database SQL and PL/SQL functionality. Definitely a must read for any Oracle data professional!" --Charlie Berger, Senior Director Product Management, Oracle Data Mining and Advanced Analytics
About the Author
Brendan Tierney, Oracle ACE Director (Dublin, Ireland), an independent consultant, lectures on data mining and advanced databases at the Dublin Institute of Technology.
Most helpful customer reviews
6 of 6 people found the following review helpful.
Oracle In Database Mining - How to do it!
By Mark Kelly
Brendan’s book does a great job educating readers on how to use Oracle Data Miner. He brings the novice miner up to speed by covering mining methodologies and then provides a solid tour of all the potential that Data Miner has to offer. For the developers out there, Brendan pulls the curtain aside and takes the reader into the details, showing how to use the pl/sql and sql Oracle Data Mining interface directly. Mining deployment is also covered nicely by walking users through the workflow deployment and the exporting and importing of models. If you want to get a full picture of Oracle Data Miner and the Oracle Data Mining then this is the book for you.
Mark Kelly - Oracle Data Miner Development Manager
1 of 1 people found the following review helpful.
Great book
By Brian Mac Namee
Great book. Does an excellent job of covering predictive analytics background, and how to actually do it using Oracle.
0 of 1 people found the following review helpful.
Annoyingly repetitive. Save your money.
By Amazon Customer
Honestly, you'd be better off reading the Oracle documentation to learn about ODM. As for data mining concepts in general, there are far better resources available on Amazon that cover the topic better. Read those first, then only turn to this book if you absolutely have to...and if you get it somewhere for free.
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