IBM SPSS Modeler Cookbook

Keith McCormick, Dean Abbott, Meta S. Brown, Tom Khabaza, Scott R. Mutchler

  • 出版商: Packt Publishing
  • 出版日期: 2013-10-25
  • 售價: $2,300
  • 貴賓價: 9.5$2,185
  • 語言: 英文
  • 頁數: 382
  • 裝訂: Paperback
  • ISBN: 1849685460
  • ISBN-13: 9781849685467
  • 相關分類: SPSS
  • 立即出貨 (庫存=1)

買這商品的人也買了...

商品描述

Over 60 practical recipes to achieve better results using the experts' methods for data mining

Overview

  • Go beyond mere insight and build models than you can deploy in the day to day running of your business
  • Save time and effort while getting more value from your data than ever before
  • Loaded with detailed step-by-step examples that show you exactly how it’s done by the best in the business

In Detail

IBM SPSS Modeler is a data mining workbench that enables you to explore data, identify important relationships that you can leverage, and build predictive models quickly allowing your organization to base its decisions on hard data not hunches or guesswork.

IBM SPSS Modeler Cookbook takes you beyond the basics and shares the tips, the timesavers, and the workarounds that experts use to increase productivity and extract maximum value from data. The authors of this book are among the very best of these exponents, gurus who, in their brilliant and imaginative use of the tool, have pushed back the boundaries of applied analytics. By reading this book, you are learning from practitioners who have helped define the state of the art.

Follow the industry standard data mining process, gaining new skills at each stage, from loading data to integrating results into everyday business practices. Get a handle on the most efficient ways of extracting data from your own sources, preparing it for exploration and modeling. Master the best methods for building models that will perform well in the workplace.

Go beyond the basics and get the full power of your data mining workbench with this practical guide.

What you will learn from this book

  • Use and understand the industry standard CRISP_DM process for data mining.
  • Assemble data simply, quickly, and correctly using the full power of extraction, transformation, and loading (ETL) tools.
  • Control the amount of time you spend organizing and formatting your data.
  • Develop predictive models that stand up to the demands of real-life applications.
  • Take your modeling to the next level beyond default settings and learn the tips that the experts use.
  • Learn why the best model is not always the most accurate one.
  • Master deployment techniques that put your discoveries to work making the most of your business’ most critical resources.
  • Challenge yourself with scripting for ultimate control and automation - it’s easier than you think!

Approach

This is a practical cookbook with intermediate-advanced recipes for SPSS Modeler data analysts. It is loaded with step-by-step examples explaining the process followed by the experts.

Who this book is for

If you have had some hands-on experience with IBM SPSS Modeler and now want to go deeper and take more control over your data mining process, this is the guide for you. It is ideal for practitioners who want to break into advanced analytics.

商品描述(中文翻譯)

超過60個實用的食譜,以專家的方法進行數據挖掘,以獲得更好的結果。

概述:
- 超越僅僅洞察,建立可以在日常業務運營中部署的模型。
- 節省時間和精力,同時從數據中獲得比以往更多的價值。
- 充滿詳細的逐步示例,向您展示業界最佳實踐者如何做到這一點。

詳細內容:
IBM SPSS Modeler是一個數據挖掘工作台,可以讓您探索數據,識別可以利用的重要關係,並快速建立預測模型,使您的組織能夠基於硬數據而不是直覺或猜測做出決策。

《IBM SPSS Modeler Cookbook》將帶您超越基礎知識,分享專家用於提高生產力並從數據中獲得最大價值的技巧、時間節省和解決方法。本書的作者是這些專家中最優秀的代表,他們在使用這個工具時充滿創意和想像力,推動了應用分析的界限。通過閱讀本書,您將從這些實踐者那裡學到幫助定義最新技術的知識。

按照行業標準的數據挖掘過程,在每個階段獲得新的技能,從加載數據到將結果整合到日常業務實踐中。掌握從自己的源頭中提取數據的最有效方法,為探索和建模做好準備。精通在工作場所表現良好的模型構建方法。

通過這本實用指南,超越基礎知識,充分發揮您的數據挖掘工作台的功能。

本書將學到的內容:
- 使用和理解行業標準的CRISP_DM數據挖掘過程。
- 使用完整的抽取、轉換和加載(ETL)工具,簡單、快速、正確地組織和格式化數據。
- 控制您花在組織和格式化數據上的時間。
- 開發能夠應對實際應用需求的預測模型。
- 將建模提升到更高水平,超越默認設置,學習專家使用的技巧。
- 了解最佳模型不一定是最準確的原因。
- 掌握將發現應用於業務最關鍵資源的部署技巧。
- 挑戰自己,使用腳本實現最終控制和自動化 - 比您想像的更容易!

這是一本實用的食譜書,適合SPSS Modeler數據分析師的中高級讀者。書中充滿了逐步示例,解釋了專家們遵循的過程。

本書適合以下讀者:
- 曾有IBM SPSS Modeler的實際經驗,現在想更深入並更好地掌握數據挖掘過程的控制權。
- 對進階分析感興趣的從業人員。