Customer and Business Analytics: Applied Data Mining for Business Decision Making Using R (Hardcover)

Customer and Business Analytics: Applied Data Mining for Business Decision Making Using R explains and demonstrates, via the accompanying open-source software, how advanced analytical tools can address various business problems. It also gives insight into some of the challenges faced when deploying these tools. Extensively classroom-tested, the text is ideal for students in customer and business analytics or applied data mining as well as professionals in small- to medium-sized organizations.

The book offers an intuitive understanding of how different analytics algorithms work. Where necessary, the authors explain the underlying mathematics in an accessible manner. Each technique presented includes a detailed tutorial that enables hands-on experience with real data. The authors also discuss issues often encountered in applied data mining projects and present the CRISP-DM process model as a practical framework for organizing these projects.

Showing how data mining can improve the performance of organizations, this book and its R-based software provide the skills and tools needed to successfully develop advanced analytics capabilities.

《客戶與業務分析：應用資料探勘於業務決策的 R 語言》透過附帶的開源軟體，解釋並示範了如何運用先進的分析工具解決各種業務問題。同時，它也揭示了在部署這些工具時所面臨的挑戰。這本經過廣泛課堂測試的教材非常適合學習客戶與業務分析或應用資料探勘的學生，以及中小型組織的專業人士。

本書提供了對不同分析演算法運作方式的直觀理解。在必要時，作者以易於理解的方式解釋了底層數學原理。每個介紹的技術都包含了詳細的教學，讓讀者能夠親自體驗真實數據的應用。作者還討論了應用資料探勘專案中常遇到的問題，並提出了CRISP-DM流程模型作為組織這些專案的實用框架。

本書展示了資料探勘如何提升組織的績效，並提供了開發先進分析能力所需的技能和工具，其中包括基於 R 語言的軟體。