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Predictive Analytics Using Oracle Data Miner : Develop & Use Data Mining Models
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Numero oggetto eBay:264947341940
Specifiche dell'oggetto
- Condizione
- ISBN
- 9780071821674
Informazioni su questo prodotto
Product Identifiers
Publisher
Mcgraw-Hill Education
ISBN-10
0071821678
ISBN-13
9780071821674
eBay Product ID (ePID)
177561254
Product Key Features
Number of Pages
464 Pages
Publication Name
Predictive Analytics Using Oracle Data Miner : Develop & Use Data Mining Models in Oracle Data Miner, SQL & PL/SQL
Language
English
Publication Year
2014
Subject
Future Studies, Desktop Applications / Databases, Data Visualization, Databases / Data Warehousing, Databases / Data Mining, Databases / General
Type
Textbook
Subject Area
Computers, Social Science
Format
Trade Paperback
Dimensions
Item Height
0.9 in
Item Weight
27.7 Oz
Item Length
9.1 in
Item Width
7.4 in
Additional Product Features
Intended Audience
Trade
LCCN
2014-018977
Dewey Edition
23
Illustrated
Yes
Dewey Decimal
006.3/12
Table Of Content
Part One: Orale Data Miner Fundamentals 1: Oracle Data Miner 2: The Predictive Model Lifecycle 3: How to Install, Set-up and Get Started Part Two:Usng the Oracle Data Miner Tool 4: ODM Menus, Projects and Workflows 5: Exploring your data 6: Data Preparation 7: Association Rule Analysis 8: Classification 9: Clustering 10: Regression 11: Anomaly Detection Part Three: Data Mining Using SQL and PL/SQL 12: The ODM Data Dictionary, SQL and PL/SQL 13: Data Preparation 14: Association Rule Analysis 15: Classification 16: Clustering 17: Regression 18: Anomaly Detection Part Four: Migration and Implementations 19: How to Migrate you ODM Models 20: Implementation Related Topics
Synopsis
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 11 g Release 11.2 and Oracle Database 12 c 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 12 c, 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 11 g Release 11.2 and Oracle Database 12 c 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 12 c, 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 11 g Release 11.2 and Oracle Database 12 c 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 12 c, 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.
LC Classification Number
QA76.9.D343T54 2014
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- c***e (1390)- Feedback lasciato dall'acquirente.Più di un anno faAcquisto verificatoExactly as described. Nicely packed. Perfect seller. Highly recommend! Thanks!Charter Club Tunic Top 6 Petite Brown Beige Beaded Animal Print Blouse Womens (N° 266544580192)