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

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

使用Oracle Data Miner建立下一代的資料庫預測分析應用程式

「如果您擁有Oracle資料庫並希望利用該資料發現新的洞察、進行預測並生成可行的結果，這本書絕對是您必讀的！在《Predictive Analytics Using Oracle Data Miner: Develop & Use Oracle Data Mining Models in Oracle Data Miner, SQL & PL/SQL》中，Oracle ACE Director和資料探勘專家Brendan Tierney將引導您了解資料探勘的基本概念，並提供使用SQL Developer的Oracle Data Mining擴展進行數據驅動問題解決的逐步指南。Brendan通過展示如何使用資料庫中的SQL和PL/SQL功能將先進的分析方法和預測模型立即部署到企業級生產環境中，將這一過程完整地呈現給您。對於任何Oracle資料專業人士來說，這絕對是一本必讀的書！」——Charlie Berger，Oracle Data Mining和高級分析高級總監

使用資料庫內的資料探勘來揭示隱藏的洞察力。由Oracle ACE Director撰寫，《Predictive Analytics Using Oracle Data Miner》向您展示如何使用這個強大的工具來創建和部署先進的資料探勘模型。這本Oracle Press指南涵蓋了資料科學家、Oracle開發人員和Oracle資料庫管理員的主題，向您展示如何開始使用Oracle Data Miner並使用SQL和PL/SQL套件建立Oracle Data Miner模型。您將獲得將Oracle Data Miner模型整合到應用程式中以自動化商業智能預測的發現和分發的最佳實踐。

- 安裝和配置Oracle Data Miner以用於Oracle Database 11g Release 11.2和Oracle Database 12c
- 建立Oracle Data Miner專案和工作流程
- 為資料探勘準備數據
- 使用關聯規則分析、分類、聚類、回歸和異常檢測開發資料探勘模型
- 使用資料字典視圖並使用資料庫內轉換準備數據
- 使用SQL和PL/SQL套件建立和使用資料探勘模型
- 遷移您的Oracle Data Miner模型，將其整合到儀表板和應用程式中並且並行運行
- 在Oracle Database 12c中使用預測查詢功能建立臨時資料探勘模型