| 书目名称 | Predicting Real World Behaviors from Virtual World Data |
| 编辑 | Muhammad Aurangzeb Ahmad,Cuihua Shen,Noshir Contra |
| 视频video | |
| 概述 | Gathers insights from different disciplines like data mining, behavioral modeling, ethnography to connect the online with the offline world.Features data-driven and theory-driven techniques for predic |
| 丛书名称 | Springer Proceedings in Complexity |
| 图书封面 |  |
| 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. |
| 出版日期 | Conference proceedings 2014 |
| 关键词 | Behavioral Prediction; Big Data in Virtual Worlds; Gaming Versus Reality; RWVW-2013 Proceedings; Virtual |
| 版次 | 1 |
| doi | https://doi.org/10.1007/978-3-319-07142-8 |
| isbn_softcover | 978-3-319-34849-0 |
| isbn_ebook | 978-3-319-07142-8Series ISSN 2213-8684 Series E-ISSN 2213-8692 |
| issn_series | 2213-8684 |
| copyright | Springer International Publishing Switzerland 2014 |
发表于 2025-3-21 19:21:34
