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Predictive Analytics Using Oracle Data Miner: Develop & Use Data Mining Models i

Description: Predictive Analytics Using Oracle Data Miner by Brendan Tierney Estimated delivery 3-12 business days Format Paperback Condition Brand New Description 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 throughout the enterprise. Publisher Description Publishers 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 Developers 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. Youll 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 Author Biography Brendan Tierney, Oracle ACE Director, is an independent consultant and lectures on Data Mining and Advanced Databases in the Dublin Institute of Technology in Ireland. He is an Oracle ACE Director and has extensive experience working in the areas of Data Mining, Data Warehousing, Data Architecture and Database Design. Brendan has worked on projects in Ireland, UK, Belgium and USA and has been working with the Oracle database and tools since 1992. Brendan is the editor of the UKOUG Oracle Scene magazine and deputy chair of the OUG Ireland BI SIG. Brendan is a regular speaker at conferences across Europe and the USA, including Oracle Open World. In addition to his presentations Brendan has written technical articles for OTN, Oracle Scene, IOUG SELECT Journal and ODTUG Technical Journal. He is author of the Oracle Press book titled, Predictive Analytics using Oracle Data Miner. Details ISBN 0071821678 ISBN-13 9780071821674 Title Predictive Analytics Using Oracle Data Miner Author Brendan Tierney Format Paperback Year 2014 Pages 464 Publisher McGraw-Hill Education - Europe GE_Item_ID:84293577; About Us Grand Eagle Retail is the ideal place for all your shopping needs! With fast shipping, low prices, friendly service and over 1,000,000 in stock items - you're bound to find what you want, at a price you'll love! Shipping & Delivery Times Shipping is FREE to any address in USA. Please view eBay estimated delivery times at the top of the listing. Deliveries are made by either USPS or Courier. We are unable to deliver faster than stated. International deliveries will take 1-6 weeks. NOTE: We are unable to offer combined shipping for multiple items purchased. This is because our items are shipped from different locations. Returns If you wish to return an item, please consult our Returns Policy as below: Please contact Customer Services and request "Return Authorisation" before you send your item back to us. Unauthorised returns will not be accepted. Returns must be postmarked within 4 business days of authorisation and must be in resellable condition. Returns are shipped at the customer's risk. We cannot take responsibility for items which are lost or damaged in transit. For purchases where a shipping charge was paid, there will be no refund of the original shipping charge. Additional Questions If you have any questions please feel free to Contact Us. Categories Baby Books Electronics Fashion Games Health & Beauty Home, Garden & Pets Movies Music Sports & Outdoors Toys

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Predictive Analytics Using Oracle Data Miner: Develop & Use Data Mining Models i

Item Specifics

Restocking Fee: No

Return shipping will be paid by: Buyer

All returns accepted: Returns Accepted

Item must be returned within: 30 Days

Refund will be given as: Money Back

ISBN-13: 9780071821674

Book Title: Predictive Analytics Using Oracle Data Miner

Number of Pages: 464 Pages

Language: English

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

Publisher: Mcgraw-Hill Education

Publication Year: 2014

Item Height: 0.9 in

Subject: Future Studies, Desktop Applications / Databases, Databases / Data Mining, Databases / General

Item Weight: 27.7 Oz

Type: Textbook

Item Length: 9.1 in

Author: Brendan Tierney

Subject Area: Computers, Social Science

Item Width: 7.4 in

Format: Trade Paperback

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