Practical Data Mining (Hardcover)

Used by corporations, industry, and government to inform and fuel everything from focused advertising to homeland security, data mining can be a very useful tool across a wide range of applications. Unfortunately, most books on the subject are designed for the computer scientist and statistical illuminati and leave the reader largely adrift in technical waters.

Revealing the lessons known to the seasoned expert, yet rarely written down for the uninitiated, Practical Data Mining explains the ins-and-outs of the detection, characterization, and exploitation of actionable patterns in data. This working field manual outlines the what, when, why, and how of data mining and offers an easy-to-follow, six-step spiral process. Catering to IT consultants, professional data analysts, and sophisticated data owners, this systematic, yet informal treatment will help readers answer questions, such as:

• What process model should I use to plan and execute a data mining project?
• How is a quantitative business case developed and assessed?
• What are the skills needed for different data mining projects?
• How do I track and evaluate data mining projects?
• How do I choose the best data mining techniques?

Helping you avoid common mistakes, the book describes specific genres of data mining practice. Most chapters contain one or more case studies with detailed projects descriptions, methods used, challenges encountered, and results obtained. The book includes working checklists for each phase of the data mining process. Your passport to successful technical and planning discussions with management, senior scientists, and customers, these checklists lay out the right questions to ask and the right points to make from an insider’s point of view.

Visit the book’s webpage for access to additional resources—including checklists, figures, PowerPoint slides, and a small set of simple prototype data mining tools.

http://www.celestech.com/PracticalDataMining

數據挖掘是企業、工業和政府用於從精準廣告到國土安全的一切的工具。它可以在各種應用中發揮非常有用的作用。不幸的是，大多數關於這個主題的書籍都是為計算機科學家和統計專家設計的，對於初學者來說往往難以理解。

《實用數據挖掘》揭示了經驗豐富的專家所知道的教訓，這些教訓很少被寫下來給初學者。本書解釋了在數據中檢測、描述和利用可行模式的各種細節。這本實用手冊概述了數據挖掘的何時、為什麼和如何，並提供了一個易於遵循的六步螺旋過程。本書適用於IT顧問、專業數據分析師和複雜數據所有者，這種系統化但非正式的處理將幫助讀者回答以下問題：

- 我應該使用什麼過程模型來計劃和執行數據挖掘項目？
- 如何制定和評估定量商業案例？
- 不同數據挖掘項目需要哪些技能？
- 如何跟踪和評估數據挖掘項目？
- 如何選擇最佳的數據挖掘技術？

本書幫助您避免常見的錯誤，描述了特定類型的數據挖掘實踐。大多數章節都包含一個或多個案例研究，詳細描述了項目的描述、使用的方法、遇到的挑戰和獲得的結果。本書還包括每個數據挖掘過程階段的工作檢查表。這些檢查表是您與管理層、高級科學家和客戶進行成功的技術和計劃討論的通行證，它們從內部人士的角度提出了正確的問題和觀點。

請訪問本書的網頁以獲取其他資源，包括檢查表、圖表、PowerPoint幻燈片和一小組簡單的原型數據挖掘工具。

http://www.celestech.com/PracticalDataMining