Predicting Real World Behaviors from Virtual World Data (Springer Proceedings in Complexity)
暫譯: 從虛擬世界數據預測現實世界行為 (Springer Proceedings in Complexity)
- 出版商: Springer
- 出版日期: 2014-08-07
- 售價: $2,420
- 貴賓價: 9.5 折 $2,299
- 語言: 英文
- 頁數: 118
- 裝訂: Hardcover
- ISBN: 3319071416
- ISBN-13: 9783319071411
海外代購書籍(需單獨結帳)
相關主題
商品描述
There is a growing body of literature that focuses on the similarities and differences between how people behave in the offline world vs. how they behave in these virtual environments. Data mining has aided in discovering interesting insights with respect to how people behave in these virtual environments. The book addresses prediction, mining and analysis of offline characteristics and behaviors from online data and vice versa. Each chapter will focus on a different aspect of virtual worlds to real world prediction e.g., demographics, personality, location, etc.
商品描述(中文翻譯)
有越來越多的文獻專注於人們在離線世界與在這些虛擬環境中的行為之間的相似性和差異性。資料探勘(data mining)有助於發現有關人們在這些虛擬環境中行為的有趣見解。本書探討了如何從線上數據預測、挖掘和分析離線特徵和行為,以及反之亦然。每一章將專注於虛擬世界與現實世界預測的不同方面,例如:人口統計(demographics)、個性(personality)、地點(location)等。