Language: English
Published by McGraw-Hill Companies, 2014
ISBN 10: 0071821678 ISBN 13: 9780071821674
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Paperback. Condition: Good. No Jacket. Pages can have notes/highlighting. Spine may show signs of wear. ~ ThriftBooks: Read More, Spend Less.
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Seller: GreatBookPricesUK, Woodford Green, United Kingdom
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Seller: GreatBookPricesUK, Woodford Green, United Kingdom
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Language: English
Published by The McGraw-Hill Company, 2014
ISBN 10: 0071821678 ISBN 13: 9780071821674
Seller: Books Puddle, New York, NY, U.S.A.
Condition: New. pp. 448.
Language: English
Published by The McGraw-Hill Company, 2014
ISBN 10: 0071821678 ISBN 13: 9780071821674
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Condition: New. Print on Demand pp. 448.
Language: English
Published by The McGraw-Hill Company, 2014
ISBN 10: 0071821678 ISBN 13: 9780071821674
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Condition: New. PRINT ON DEMAND pp. 448.
Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Written by an Oracle ACE Director, this book shows you how to use Oracle Data Miner to create and deploy advanced data mining models and integrate your models into applications to automate the discovery and distribution of business intelligence predictions .
Language: English
Published by Mcgraw-Hill Education, 2014
ISBN 10: 0071821678 ISBN 13: 9780071821674
Seller: AHA-BUCH GmbH, Einbeck, Germany
Taschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - 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 AnalyticsPerform 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 12cCreate Oracle Data Miner projects and workflowsPrepare data for data miningDevelop data mining models using association rule analysis, classification, clustering, regression, and anomaly detectionUse data dictionary views and prepare your data using in-database transformationsBuild and use data mining models using SQL and PL/SQL packagesMigrate your Oracle Data Miner models, integrate them into dashboards and applications, and run them in parallelBuild transient data mining models with the Predictive Queries feature in Oracle Database 12c.
Language: English
Published by McGraw-Hill Education, 2014
ISBN 10: 0071821678 ISBN 13: 9780071821674
Seller: preigu, Osnabrück, Germany
Taschenbuch. Condition: Neu. Predictive Analytics Using Oracle Data Miner | Develop & Use Data Mining Models in Oracle Data Miner, SQL & PL/SQL | Brendan Tierney | Taschenbuch | Kartoniert / Broschiert | Englisch | 2014 | McGraw-Hill Education | EAN 9780071821674 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de | Anbieter: preigu Print on Demand.