A time series classification approach to game bot detection-Reference-Cited by-同舟云学术

A time series classification approach to game bot detection

Published:2017-06-19 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 7th International Conference on Web Intelligence, Mining and Semantics
language:
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Author:

Bernardi Mario Luca¹,Cimitile Marta²,Martinelli Fabio³,Mercaldo Francesco³

Affiliation:

1. Giustino Fortunato University, Benevento, Italy

2. Unitelma Sapienza, Roma, Italy

3. National Research Council of Italy (CNR), Pisa, Italy

Funder

H2020 EU-funded projects NeCS and C3ISP and EIT-Digital Project HII

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3102254.3102263

Reference35 articles.

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2. Mario Luca Bernardi Marta Cimitile Chiara Di Francescomarino and Fabrizio Maria Maggi. 2016. Do Activity Lifecycles Affect the Validity of a Business Rule in a Business Process? Inf. Syst. 62 C (Dec. 2016) 42--59. 10.1016/j.is.2016.06.002 Mario Luca Bernardi Marta Cimitile Chiara Di Francescomarino and Fabrizio Maria Maggi. 2016. Do Activity Lifecycles Affect the Validity of a Business Rule in a Business Process? Inf. Syst . 62 C (Dec. 2016) 42--59. 10.1016/j.is.2016.06.002

3. Identifying MMORPG bots

4. Game bot detection based on avatar trajectory;Chen Kuan-Ta;Entertainment Computing-ICEC,2009

5. Game bot identification based on manifold learning

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