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Predictive Analytics Using Oracle Data Miner

Af: Brendan Tierney Engelsk Paperback

Predictive Analytics Using Oracle Data Miner

Af: Brendan Tierney Engelsk Paperback
Tjek vores konkurrenters priser

Publisher''s Note: Products purchased from Third Party sellers are not guaranteed by the publisher for quality, authenticity, or access to any online entitlements included with the product.


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
Tjek vores konkurrenters priser
Normalpris
kr 945
Fragt: 39 kr
6 - 8 hverdage
20 kr
Pakkegebyr
God 4 anmeldelser på
Tjek vores konkurrenters priser

Publisher''s Note: Products purchased from Third Party sellers are not guaranteed by the publisher for quality, authenticity, or access to any online entitlements included with the product.


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
Produktdetaljer
Sprog: Engelsk
Sider: 464
ISBN-13: 9780071821674
Indbinding: Paperback
Udgave:
ISBN-10: 0071821678
Kategori: Databasesoftware
Udg. Dato: 16 jun 2014
Længde: 23mm
Bredde: 234mm
Højde: 188mm
Forlag: McGraw-Hill Education - Europe
Oplagsdato: 16 jun 2014
Forfatter(e): Brendan Tierney
Forfatter(e) Brendan Tierney


Kategori Databasesoftware


ISBN-13 9780071821674


Sprog Engelsk


Indbinding Paperback


Sider 464


Udgave


Længde 23mm


Bredde 234mm


Højde 188mm


Udg. Dato 16 jun 2014


Oplagsdato 16 jun 2014


Forlag McGraw-Hill Education - Europe