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商品詳細
Predicting Real World Behaviors from Virtual World Data. Softcover reprint of the original 1st ed. 2014
・ISBN 978-3-319-34849-0 paper EUR 49.99
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| 著者・編者 | Ahmad, Muhammad Aurangzeb / Shen, Cuihua / Srivastava, Jaideep / Contractor, Noshir (eds.), |
|---|---|
| シリーズ | (Springer Proceedings in Complexity) |
| 出版社 | (Springer International Publishing AG, SZ) |
| 出版年月 | 2016 |
| ページ数 | 118 pp. |
| 言語 | ENG |
| ニュース番号 | ＜A05-26950＞ |
解説
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.