Mining the Web: Transforming Customer Data
暫譯: 網路挖掘:轉化客戶數據
Gordon S. Linoff, Michael J. A. Berry
- 出版商: Wiley
- 出版日期: 2002-02-15
- 售價: $800
- 貴賓價: 9.8 折 $784
- 語言: 英文
- 頁數: 352
- 裝訂: Paperback
- ISBN: 0471416096
- ISBN-13: 9780471416098
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相關主題
商品描述
Introduces business and technical managers to the exciting new frontier in
database technology
Web sites gather a lot of detailed information about
customers. Unfortunately, most companies lack the means to use that information
to improve their marketing and customer support functions. Considered by most
experts to be the new frontier in the database and data warehousing fields, Web
mining solves that problem. Coauthored by two bestselling data mining authors,
Mining the Web explains, for corporate decision makers, IT managers, and
database marketers, how data mining principles and techniques can be applied to
various types of Web sites. More importantly, they describe techniques for using
the resulting goldmine of business data to develop more effective advertising
campaigns and better customer service.
Table of Contents
Introduction.
Acknowledgments.
1. Nothing New under the Sun?
2. Approaches to Mining the Web.
3. Online Retailing: Selling Things That Get Delivered in a Truck.
4. Digital Content: Selling Things That Get Delivered through the Ether.
5. Selling Eyes to Advertisers.
6. Marketplaces: Connecting Sellers and Buyers.
7. How Much Are Your Customers Worth?
8. Knowing When to Worry: Hazard Functions and Survival Analysis in Marketing.
9. Cohort Analysis: Using Cohorts to Track Customers.
10. Using Marketing Tests to Understand Customers.
11. Live (and Test) and Learn.
Index.
商品描述(中文翻譯)
引介商業與技術經理進入資料庫技術的令人興奮的新領域。網站收集了大量有關客戶的詳細資訊。不幸的是,大多數公司缺乏利用這些資訊來改善其行銷和客戶支援功能的手段。被大多數專家視為資料庫和資料倉儲領域的新前沿,網路挖掘解決了這個問題。這本書由兩位暢銷的資料挖掘作者共同撰寫,《Mining the Web》向企業決策者、IT經理和資料庫行銷人員解釋了如何將資料挖掘的原則和技術應用於各類型的網站。更重要的是,他們描述了如何利用這些寶貴的商業數據來開發更有效的廣告活動和更好的客戶服務。
目錄
引言
致謝
1. 陽光下沒有新事物?
2. 網路挖掘的方法
3. 在線零售:銷售透過卡車運送的商品
4. 數位內容:銷售透過空氣傳送的商品
5. 將眼球賣給廣告商
6. 市場:連接賣家與買家
7. 你的客戶值多少?
8. 知道何時擔心:行銷中的危險函數與生存分析
9. 同儕分析:使用同儕追蹤客戶
10. 使用行銷測試來了解客戶
11. 實時(並測試)學習
索引
