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Predictive Analytics Using Oracle Data Miner

Author: Brendan Tierney

Publisher: McGraw Hill Professional

Published: 2014-08-08

Total Pages: 466

ISBN-13: 0071821759

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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

Book Synopsis Predictive Analytics Using Oracle Data Miner by : Brendan Tierney

Download or read book Predictive Analytics Using Oracle Data Miner written by Brendan Tierney and published by McGraw Hill Professional. This book was released on 2014-08-08 with total page 466 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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

Data Science Using Oracle Data Miner and Oracle R Enterprise

Author: Sibanjan Das

Publisher: Apress

Published: 2016-12-22

Total Pages: 300

ISBN-13: 1484226143

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Automate the predictive analytics process using Oracle Data Miner and Oracle R Enterprise. This book talks about how both these technologies can provide a framework for in-database predictive analytics. You'll see a unified architecture and embedded workflow to automate various analytics steps such as data preprocessing, model creation, and storing final model output to tables. You'll take a deep dive into various statistical models commonly used in businesses and how they can be automated for predictive analytics using various SQL, PLSQL, ORE, ODM, and native R packages. You'll get to know various options available in the ODM workflow for driving automation. Also, you'll get an understanding of various ways to integrate ODM packages, ORE, and native R packages using PLSQL for automating the processes. Data Science Automation Using Oracle Data Miner and Oracle R Enterprise starts with an introduction to business analytics, covering why automation is necessary and the level of complexity in automation at each analytic stage. Then, it focuses on how predictive analytics can be automated by using Oracle Data Miner and Oracle R Enterprise. Also, it explains when and why ODM and ORE are to be used together for automation. The subsequent chapters detail various statistical processes used for predictive analytics such as calculating attribute importance, clustering methods, regression analysis, classification techniques, ensemble models, and neural networks. In these chapters you will also get to understand the automation processes for each of these statistical processes using ODM and ORE along with their application in a real-life business use case. What you'll learn Discover the functionality of Oracle Data Miner and Oracle R Enterprise Gain methods to perform in-database predictive analytics Use Oracle's SQL and PLSQL APIs for building analytical solutions Acquire knowledge of common and widely-used business statistical analysis techniques Who this book is for IT executives, BI architects, Oracle architects and developers, R users and statisticians.

Book Synopsis Data Science Using Oracle Data Miner and Oracle R Enterprise by : Sibanjan Das

Download or read book Data Science Using Oracle Data Miner and Oracle R Enterprise written by Sibanjan Das and published by Apress. This book was released on 2016-12-22 with total page 300 pages. Available in PDF, EPUB and Kindle. Book excerpt: Automate the predictive analytics process using Oracle Data Miner and Oracle R Enterprise. This book talks about how both these technologies can provide a framework for in-database predictive analytics. You'll see a unified architecture and embedded workflow to automate various analytics steps such as data preprocessing, model creation, and storing final model output to tables. You'll take a deep dive into various statistical models commonly used in businesses and how they can be automated for predictive analytics using various SQL, PLSQL, ORE, ODM, and native R packages. You'll get to know various options available in the ODM workflow for driving automation. Also, you'll get an understanding of various ways to integrate ODM packages, ORE, and native R packages using PLSQL for automating the processes. Data Science Automation Using Oracle Data Miner and Oracle R Enterprise starts with an introduction to business analytics, covering why automation is necessary and the level of complexity in automation at each analytic stage. Then, it focuses on how predictive analytics can be automated by using Oracle Data Miner and Oracle R Enterprise. Also, it explains when and why ODM and ORE are to be used together for automation. The subsequent chapters detail various statistical processes used for predictive analytics such as calculating attribute importance, clustering methods, regression analysis, classification techniques, ensemble models, and neural networks. In these chapters you will also get to understand the automation processes for each of these statistical processes using ODM and ORE along with their application in a real-life business use case. What you'll learn Discover the functionality of Oracle Data Miner and Oracle R Enterprise Gain methods to perform in-database predictive analytics Use Oracle's SQL and PLSQL APIs for building analytical solutions Acquire knowledge of common and widely-used business statistical analysis techniques Who this book is for IT executives, BI architects, Oracle architects and developers, R users and statisticians.

Oracle Data Mining

Author: Carolyn K. Hamm

Publisher: Rampant Techpress

Published: 2007

Total Pages: 253

ISBN-13: 9780974448633

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Provides information on Oracle Data Mining, covering such topics as model building, classification models, support vector machines, clustering and cohorts, and predictive analytics.

Book Synopsis Oracle Data Mining by : Carolyn K. Hamm

Download or read book Oracle Data Mining written by Carolyn K. Hamm and published by Rampant Techpress. This book was released on 2007 with total page 253 pages. Available in PDF, EPUB and Kindle. Book excerpt: Provides information on Oracle Data Mining, covering such topics as model building, classification models, support vector machines, clustering and cohorts, and predictive analytics.

Oracle Data Mining A Complete Guide

Author: Gerardus Blokdyk

Publisher:

Published:

Total Pages: 0

ISBN-13: 9780655131571

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Book Synopsis Oracle Data Mining A Complete Guide by : Gerardus Blokdyk

Download or read book Oracle Data Mining A Complete Guide written by Gerardus Blokdyk and published by . This book was released on with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Oracle Data Mining a Complete Guide

Author: Gerardus Blokdyk

Publisher: 5starcooks

Published: 2018-04-16

Total Pages: 126

ISBN-13: 9780655181576

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How will the Oracle Data Mining team and the organization measure complete success of Oracle Data Mining? How does the organization define, manage, and improve its Oracle Data Mining processes? How do we maintain Oracle Data Mining's Integrity? How will we insure seamless interoperability of Oracle Data Mining moving forward? What is our Oracle Data Mining Strategy? Defining, designing, creating, and implementing a process to solve a challenge or meet an objective is the most valuable role... In EVERY group, company, organization and department. Unless you are talking a one-time, single-use project, there should be a process. Whether that process is managed and implemented by humans, AI, or a combination of the two, it needs to be designed by someone with a complex enough perspective to ask the right questions. Someone capable of asking the right questions and step back and say, 'What are we really trying to accomplish here? And is there a different way to look at it?' This Self-Assessment empowers people to do just that - whether their title is entrepreneur, manager, consultant, (Vice-)President, CxO etc... - they are the people who rule the future. They are the person who asks the right questions to make Oracle Data Mining investments work better. This Oracle Data Mining All-Inclusive Self-Assessment enables You to be that person. All the tools you need to an in-depth Oracle Data Mining Self-Assessment. Featuring 702 new and updated case-based questions, organized into seven core areas of process design, this Self-Assessment will help you identify areas in which Oracle Data Mining improvements can be made. In using the questions you will be better able to: - diagnose Oracle Data Mining projects, initiatives, organizations, businesses and processes using accepted diagnostic standards and practices - implement evidence-based best practice strategies aligned with overall goals - integrate recent advances in Oracle Data Mining and process design strategies into practice according to best practice guidelines Using a Self-Assessment tool known as the Oracle Data Mining Scorecard, you will develop a clear picture of which Oracle Data Mining areas need attention. Your purchase includes access details to the Oracle Data Mining self-assessment dashboard download which gives you your dynamically prioritized projects-ready tool and shows your organization exactly what to do next. Your exclusive instant access details can be found in your book.

Book Synopsis Oracle Data Mining a Complete Guide by : Gerardus Blokdyk

Download or read book Oracle Data Mining a Complete Guide written by Gerardus Blokdyk and published by 5starcooks. This book was released on 2018-04-16 with total page 126 pages. Available in PDF, EPUB and Kindle. Book excerpt: How will the Oracle Data Mining team and the organization measure complete success of Oracle Data Mining? How does the organization define, manage, and improve its Oracle Data Mining processes? How do we maintain Oracle Data Mining's Integrity? How will we insure seamless interoperability of Oracle Data Mining moving forward? What is our Oracle Data Mining Strategy? Defining, designing, creating, and implementing a process to solve a challenge or meet an objective is the most valuable role... In EVERY group, company, organization and department. Unless you are talking a one-time, single-use project, there should be a process. Whether that process is managed and implemented by humans, AI, or a combination of the two, it needs to be designed by someone with a complex enough perspective to ask the right questions. Someone capable of asking the right questions and step back and say, 'What are we really trying to accomplish here? And is there a different way to look at it?' This Self-Assessment empowers people to do just that - whether their title is entrepreneur, manager, consultant, (Vice-)President, CxO etc... - they are the people who rule the future. They are the person who asks the right questions to make Oracle Data Mining investments work better. This Oracle Data Mining All-Inclusive Self-Assessment enables You to be that person. All the tools you need to an in-depth Oracle Data Mining Self-Assessment. Featuring 702 new and updated case-based questions, organized into seven core areas of process design, this Self-Assessment will help you identify areas in which Oracle Data Mining improvements can be made. In using the questions you will be better able to: - diagnose Oracle Data Mining projects, initiatives, organizations, businesses and processes using accepted diagnostic standards and practices - implement evidence-based best practice strategies aligned with overall goals - integrate recent advances in Oracle Data Mining and process design strategies into practice according to best practice guidelines Using a Self-Assessment tool known as the Oracle Data Mining Scorecard, you will develop a clear picture of which Oracle Data Mining areas need attention. Your purchase includes access details to the Oracle Data Mining self-assessment dashboard download which gives you your dynamically prioritized projects-ready tool and shows your organization exactly what to do next. Your exclusive instant access details can be found in your book.

Oracle Data Mining

Author: Gerardus Blokdyk

Publisher: Createspace Independent Publishing Platform

Published: 2018-05-12

Total Pages: 138

ISBN-13: 9781718872417

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Are improvement team members fully trained on Oracle Data Mining? What are internal and external Oracle Data Mining relations? Is there a critical path to deliver Oracle Data Mining results? What potential environmental factors impact the Oracle Data Mining effort? How does the Oracle Data Mining manager ensure against scope creep? Defining, designing, creating, and implementing a process to solve a challenge or meet an objective is the most valuable role... In EVERY group, company, organization and department. Unless you are talking a one-time, single-use project, there should be a process. Whether that process is managed and implemented by humans, AI, or a combination of the two, it needs to be designed by someone with a complex enough perspective to ask the right questions. Someone capable of asking the right questions and step back and say, 'What are we really trying to accomplish here? And is there a different way to look at it?' This Self-Assessment empowers people to do just that - whether their title is entrepreneur, manager, consultant, (Vice-)President, CxO etc... - they are the people who rule the future. They are the person who asks the right questions to make Oracle Data Mining investments work better. This Oracle Data Mining All-Inclusive Self-Assessment enables You to be that person. All the tools you need to an in-depth Oracle Data Mining Self-Assessment. Featuring new and updated case-based questions, organized into seven core areas of process design, this Self-Assessment will help you identify areas in which Oracle Data Mining improvements can be made. In using the questions you will be better able to: - diagnose Oracle Data Mining projects, initiatives, organizations, businesses and processes using accepted diagnostic standards and practices - implement evidence-based best practice strategies aligned with overall goals - integrate recent advances in Oracle Data Mining and process design strategies into practice according to best practice guidelines Using a Self-Assessment tool known as the Oracle Data Mining Scorecard, you will develop a clear picture of which Oracle Data Mining areas need attention. Your purchase includes access details to the Oracle Data Mining self-assessment dashboard download which gives you your dynamically prioritized projects-ready tool and shows your organization exactly what to do next. Your exclusive instant access details can be found in your book.

Book Synopsis Oracle Data Mining by : Gerardus Blokdyk

Download or read book Oracle Data Mining written by Gerardus Blokdyk and published by Createspace Independent Publishing Platform. This book was released on 2018-05-12 with total page 138 pages. Available in PDF, EPUB and Kindle. Book excerpt: Are improvement team members fully trained on Oracle Data Mining? What are internal and external Oracle Data Mining relations? Is there a critical path to deliver Oracle Data Mining results? What potential environmental factors impact the Oracle Data Mining effort? How does the Oracle Data Mining manager ensure against scope creep? Defining, designing, creating, and implementing a process to solve a challenge or meet an objective is the most valuable role... In EVERY group, company, organization and department. Unless you are talking a one-time, single-use project, there should be a process. Whether that process is managed and implemented by humans, AI, or a combination of the two, it needs to be designed by someone with a complex enough perspective to ask the right questions. Someone capable of asking the right questions and step back and say, 'What are we really trying to accomplish here? And is there a different way to look at it?' This Self-Assessment empowers people to do just that - whether their title is entrepreneur, manager, consultant, (Vice-)President, CxO etc... - they are the people who rule the future. They are the person who asks the right questions to make Oracle Data Mining investments work better. This Oracle Data Mining All-Inclusive Self-Assessment enables You to be that person. All the tools you need to an in-depth Oracle Data Mining Self-Assessment. Featuring new and updated case-based questions, organized into seven core areas of process design, this Self-Assessment will help you identify areas in which Oracle Data Mining improvements can be made. In using the questions you will be better able to: - diagnose Oracle Data Mining projects, initiatives, organizations, businesses and processes using accepted diagnostic standards and practices - implement evidence-based best practice strategies aligned with overall goals - integrate recent advances in Oracle Data Mining and process design strategies into practice according to best practice guidelines Using a Self-Assessment tool known as the Oracle Data Mining Scorecard, you will develop a clear picture of which Oracle Data Mining areas need attention. Your purchase includes access details to the Oracle Data Mining self-assessment dashboard download which gives you your dynamically prioritized projects-ready tool and shows your organization exactly what to do next. Your exclusive instant access details can be found in your book.

Information-Statistical Data Mining

Author: Bon K. Sy

Publisher: Springer Science & Business Media

Published: 2012-12-06

Total Pages: 301

ISBN-13: 1441990011

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Information-Statistical Data Mining: Warehouse Integration with Examples of Oracle Basics is written to introduce basic concepts, advanced research techniques, and practical solutions of data warehousing and data mining for hosting large data sets and EDA. This book is unique because it is one of the few in the forefront that attempts to bridge statistics and information theory through a concept of patterns. Information-Statistical Data Mining: Warehouse Integration with Examples of Oracle Basics is designed for a professional audience composed of researchers and practitioners in industry. This book is also suitable as a secondary text for graduate-level students in computer science and engineering.

Book Synopsis Information-Statistical Data Mining by : Bon K. Sy

Download or read book Information-Statistical Data Mining written by Bon K. Sy and published by Springer Science & Business Media. This book was released on 2012-12-06 with total page 301 pages. Available in PDF, EPUB and Kindle. Book excerpt: Information-Statistical Data Mining: Warehouse Integration with Examples of Oracle Basics is written to introduce basic concepts, advanced research techniques, and practical solutions of data warehousing and data mining for hosting large data sets and EDA. This book is unique because it is one of the few in the forefront that attempts to bridge statistics and information theory through a concept of patterns. Information-Statistical Data Mining: Warehouse Integration with Examples of Oracle Basics is designed for a professional audience composed of researchers and practitioners in industry. This book is also suitable as a secondary text for graduate-level students in computer science and engineering.

Oracle R Enterprise: Harnessing the Power of R in Oracle Database

Author: Brendan Tierney

Publisher: McGraw Hill Professional

Published: 2016-11-04

Total Pages: 273

ISBN-13: 1259585646

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Master the Big Data Capabilities of Oracle R Enterprise Effectively manage your enterprise’s big data and keep complex processes running smoothly using the hands-on information contained in this Oracle Press guide. Oracle R Enterprise: Harnessing the Power of R in Oracle Database shows, step-by-step, how to create and execute large-scale predictive analytics and maintain superior performance. Discover how to explore and prepare your data, accurately model business processes, generate sophisticated graphics, and write and deploy powerful scripts. You will also find out how to effectively incorporate Oracle R Enterprise features in APEX applications, OBIEE dashboards, and Apache Hadoop systems. Learn to: • Install, configure, and administer Oracle R Enterprise • Establish connections and move data to the database • Create Oracle R Enterprise packages and functions • Use the R language to work with data in Oracle Database • Build models using ODM, ORE, and other algorithms • Develop and deploy R scripts and use the R script repository • Execute embedded R scripts and employ ORE SQL API functions • Map and manipulate data using Oracle R Advanced Analytics for Hadoop • Use ORE in Oracle Data Miner, OBIEE, and other applications

Book Synopsis Oracle R Enterprise: Harnessing the Power of R in Oracle Database by : Brendan Tierney

Download or read book Oracle R Enterprise: Harnessing the Power of R in Oracle Database written by Brendan Tierney and published by McGraw Hill Professional. This book was released on 2016-11-04 with total page 273 pages. Available in PDF, EPUB and Kindle. Book excerpt: Master the Big Data Capabilities of Oracle R Enterprise Effectively manage your enterprise’s big data and keep complex processes running smoothly using the hands-on information contained in this Oracle Press guide. Oracle R Enterprise: Harnessing the Power of R in Oracle Database shows, step-by-step, how to create and execute large-scale predictive analytics and maintain superior performance. Discover how to explore and prepare your data, accurately model business processes, generate sophisticated graphics, and write and deploy powerful scripts. You will also find out how to effectively incorporate Oracle R Enterprise features in APEX applications, OBIEE dashboards, and Apache Hadoop systems. Learn to: • Install, configure, and administer Oracle R Enterprise • Establish connections and move data to the database • Create Oracle R Enterprise packages and functions • Use the R language to work with data in Oracle Database • Build models using ODM, ORE, and other algorithms • Develop and deploy R scripts and use the R script repository • Execute embedded R scripts and employ ORE SQL API functions • Map and manipulate data using Oracle R Advanced Analytics for Hadoop • Use ORE in Oracle Data Miner, OBIEE, and other applications

Oracle Data Warehousing and Business Intelligence Solutions

Author: Robert Stackowiak

Publisher: John Wiley & Sons

Published: 2007-01-06

Total Pages: 410

ISBN-13: 047012718X

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Up-to-date, comprehensive coverage of the Oracle database and business intelligence tools Written by a team of Oracle insiders, this authoritative book provides you with the most current coverage of the Oracle data warehousing platform as well as the full suite of business intelligence tools. You'll learn how to leverage Oracle features and how those features can be used to provide solutions to a variety of needs and demands. Plus, you'll get valuable tips and insight based on the authors' real-world experiences and their own implementations. Avoid many common pitfalls while learning best practices for: Leveraging Oracle technologies to design, build, and manage data warehouses Integrating specific database and business intelligence solutions from other vendors Using the new suite of Oracle business intelligence tools to analyze data for marketing, sales, and more Handling typical data warehouse performance challenges Uncovering initiatives by your business community, security business sponsorship, project staffing, and managing risk

Book Synopsis Oracle Data Warehousing and Business Intelligence Solutions by : Robert Stackowiak

Download or read book Oracle Data Warehousing and Business Intelligence Solutions written by Robert Stackowiak and published by John Wiley & Sons. This book was released on 2007-01-06 with total page 410 pages. Available in PDF, EPUB and Kindle. Book excerpt: Up-to-date, comprehensive coverage of the Oracle database and business intelligence tools Written by a team of Oracle insiders, this authoritative book provides you with the most current coverage of the Oracle data warehousing platform as well as the full suite of business intelligence tools. You'll learn how to leverage Oracle features and how those features can be used to provide solutions to a variety of needs and demands. Plus, you'll get valuable tips and insight based on the authors' real-world experiences and their own implementations. Avoid many common pitfalls while learning best practices for: Leveraging Oracle technologies to design, build, and manage data warehouses Integrating specific database and business intelligence solutions from other vendors Using the new suite of Oracle business intelligence tools to analyze data for marketing, sales, and more Handling typical data warehouse performance challenges Uncovering initiatives by your business community, security business sponsorship, project staffing, and managing risk

Oracle Data Mining and Search

Author: Ron Hardman

Publisher: McGraw-Hill/Osborne Media

Published: 2008-03

Total Pages: 550

ISBN-13: 9780072263909

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Book Synopsis Oracle Data Mining and Search by : Ron Hardman

Download or read book Oracle Data Mining and Search written by Ron Hardman and published by McGraw-Hill/Osborne Media. This book was released on 2008-03 with total page 550 pages. Available in PDF, EPUB and Kindle. Book excerpt: