Commercial Data Mining: Processing, Analysis and Modeling for Predictive Analytics Projects (Paperback)

David Nettleton

  • 出版商: Morgan Kaufmann
  • 出版日期: 2014-02-19
  • 定價: $1,700
  • 售價: 8.5$1,445
  • 語言: 英文
  • 頁數: 304
  • 裝訂: Paperback
  • ISBN: 0124166024
  • ISBN-13: 9780124166028
  • 相關分類: Data-miningMachine Learning
  • 立即出貨 (庫存 < 3)

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商品描述

Whether you are brand new to data mining or working on your tenth predictive analytics project, Commercial Data Mining will be there for you as an accessible reference outlining the entire process and related themes. In this book, you'll learn that your organization does not need a huge volume of data or a Fortune 500 budget to generate business using existing information assets. Expert author David Nettleton guides you through the process from beginning to end and covers everything from business objectives to data sources, and selection to analysis and predictive modeling.

Commercial Data Mining includes case studies and practical examples from Nettleton's more than 20 years of commercial experience. Real-world cases covering customer loyalty, cross-selling, and audience prediction in industries including insurance, banking, and media illustrate the concepts and techniques explained throughout the book.

  • Illustrates cost-benefit evaluation of potential projects
  • Includes vendor-agnostic advice on what to look for in off-the-shelf solutions as well as tips on building your own data mining tools
  • Approachable reference can be read from cover to cover by readers of all experience levels
  • Includes practical examples and case studies as well as actionable business insights from author's own experience

商品描述(中文翻譯)

無論您是初次接觸數據挖掘還是正在進行第十個預測分析項目,《商業數據挖掘》都將成為您的可靠參考,概述整個過程和相關主題。在這本書中,您將學到,您的組織不需要大量數據或財富500強的預算,就可以利用現有的信息資產來營造業務。專家作者David Nettleton將從頭到尾引導您完成整個過程,涵蓋從業務目標到數據來源的選擇,以及分析和預測建模等方面。

《商業數據挖掘》包括Nettleton在商業領域超過20年的案例研究和實際示例。涵蓋客戶忠誠度、交叉銷售和媒體等行業的觀眾預測的實際案例,展示了本書中解釋的概念和技術。

- 顯示潛在項目的成本效益評估
- 提供關於選購現成解決方案的供應商中立建議,以及構建自己的數據挖掘工具的技巧
- 這本易於理解的參考書適合各種經驗水平的讀者從頭到尾閱讀
- 包括作者自己的實踐經驗中的實際示例和案例研究,以及可操作的業務見解