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Game Data Mining Competition on Churn Prediction and Survival Analysis using Commercial Game Log Data

Eunjo Lee, Yoonjae Jang, Du-Mim Yoon, JiHoon Jeon, Sung-il Yang, SangKwang Lee, Dae-Wook Kim, Pei Pei Chen, Anna Guitart, Paul Bertens, Africa Perianez, Fabian Hadiji (+5 others)
2019 IEEE Transactions on Games  
In this work, we developed and implemented an international competition on game data mining using commercial game log data from one of the major game companies in South Korea: NCSOFT.  ...  Our approach enabled researchers to develop and apply state-of-the-art data mining techniques to game log data by making the data open.  ...  In this paper, we propose a competition framework for the game data mining using commercial game log data.  ... 
doi:10.1109/tg.2018.2888863 fatcat:ifaukda6arhsjiz65jaasfjlly

Game Data Mining Competition on Churn Prediction and Survival Analysis using Commercial Game Log Data

Kyung-Joong Kim, DuMim Yoon, JiHoon Jeon, Seong-Il Yang, Sang-Kwang Lee, EunJo Lee, Yoonjae Jang, Dae-Wook Kim, Pei Pei Chen, Anna Guitart, Paul Bertens, África Periáñez (+5 others)
2018 Zenodo  
In this work, we developed and implemented an international competition on game data mining using commercial game log data from one of the major game companies in South Korea: NCSOFT.  ...  Our approach enabled researchers to develop and apply state-of-the-art data mining techniques to game log data by making the data open.  ...  CONCLUSIONS In this paper, we propose a competition framework for game data mining using commercial game log data.  ... 
doi:10.5281/zenodo.1696795 fatcat:rejyi4n7f5ht3l7cmjoiax4fgu

Intelligent data analysis approaches to churn as a business problem: a survey

David L. García, Àngela Nebot, Alfredo Vellido
2016 Knowledge and Information Systems  
In particular, the use of intelligent data analysis, or data mining, for the analysis of market surveyed information can be of great assistance to churn management.  ...  Keywords Churn analysis · intelligent data analysis · computational intelligence · customer continuity management · literature survey  ...  Journal of Marketing Research 43(analysis on the customers churn of charge email based on data mining.  ... 
doi:10.1007/s10115-016-0995-z fatcat:2k3c3dnh75ggnesqkrif3w6cwm

Your Gameplay Says It All: Modelling Motivation in Tom Clancy's The Division [article]

David Melhart, Ahmad Azadvar, Alessandro Canossa, Antonios Liapis, Georgios N. Yannakakis
2019 arXiv   pre-print
To address the above questions, on the one end, we collect a large dataset of gameplay data from players of the popular game Tom Clancy's The Division.  ...  On the other end, we ask them to report their levels of competence, autonomy, relatedness and presence using the Ubisoft Perceived Experience Questionnaire.  ...  and archetypal analysis [20] , [21] , and sequence mining [10] , [22] , [23] .  ... 
arXiv:1902.00040v2 fatcat:nlx6jkxzdvdzrowtcq5c2f7zxy

Mining game statistics from web services

Chris Lewis, Noah Wardrip-Fruin
2010 Proceedings of the Fifth International Conference on the Foundations of Digital Games - FDG '10  
Mining game data from publicly accessible web services allows us to quickly retrieve quantitative results.  ...  Collecting large sets of quantitative video game play data can take many months or years. This delays the progress of interpreting data and drawing interesting conclusions.  ...  Drachen & Canossa, in collaboration with EIDOS, have presented case studies on instrumenting games from IO Interactive [3] and performed player modeling by data mining player logs of Tomb Raider: Underworld  ... 
doi:10.1145/1822348.1822362 dblp:conf/fdg/LewisW10 fatcat:wzepkdvb5fgldidawfxps5h2ly

Churn in Social Networks [chapter]

Marcel Karnstedt, Tara Hennessy, Jeffrey Chan, Partha Basuchowdhuri, Conor Hayes, Thorsten Strufe
2010 Handbook of Social Network Technologies and Applications  
of ETRI and DFG FOR 733 ("QuaP2P").  ...  Acknowldegements This work was carried out in part in the CLIQUE Strategic Research Cluster, which is funded by Science Foundation Ireland (SFI) under grant number 08/SRC/I1407, and under partial funding  ...  Statistical survival analysis has been used to predict churn and is the approach taken in [41] .  ... 
doi:10.1007/978-1-4419-7142-5_9 fatcat:r6pc5p2ewnad5e4et7ni2kdx4u

Security Enhancement of an Automated Teller Machine Using Fingerprint and Password

C. Nwankwo, Augustine University, Epe, Lagos State, Nigeria, G. Oletu, O.B. Longe
2020 Advances in Multidisciplinary & Scientific Research Journal Publication  
This paper focuses on how to enhanced security of Transactions in Automatic Teller Machine system using a multi-factor authentication system (Password and Fingerprint).  ...  In order to achieve security and to overcome illegal activities, shortcoming of piracy in money transactions, we propose the idea of using fingerprints of customers and password instead of traditional  ...  Image, One Time Password generated to users' phone. and another One Time Password given by the user to the server for authentication to secure Banking, this was related to the security issues associated  ... 
doi:10.22624/isteams/v26p5-ieee-ng-ts fatcat:5mrlw7sebncwhn4qhjpqc5eir4

Artificial intelligence applied in claims management: Bet on the right customer with claims satisfaction predictive modeling

Benoit Lamarsaude
2017 Figshare  
The predictive model has been tested on real data from motor claims and on various machine learning algorithms.  ...  The model provides predictions on customer satisfaction. Game theory is used to manage the predictions accordingly to insurer's customer relationship strategy.  ...  First, I would like to express my gratitude to Denis Bicheron for agreeing to supervise this work, for his help and all the valuable advice he has given me during our numerous meetings.  ... 
doi:10.6084/m9.figshare.5691058.v1 fatcat:kuiuquemdvcozap35vld4undhu

A study of data analytics and applications in multiple field using big data and internet of things(IoT)

Dr Sachin Kumar
2021 Zenodo  
A study of data analytics and applications in multiple field using big data and internet of things(IoT): PDF  ...  , and learning experience by tracking and storing student log data on online platforms for an extended period.  ...  This is based on data analytics and decision prediction using data collected from many devices interconnected using IoT.  ... 
doi:10.5281/zenodo.5148785 fatcat:ysqdqumwgbfr7kvbpbrd4n6vr4

From Tree House to Barracks

Dmitri Williams, Nicolas Ducheneaut, Li Xiong, Yuanyuan Zhang, Nick Yee, Eric Nickell
2006 Games and Culture : A Journal of Interactive Media  
In keeping with current Internet research findings, players were found to use the game to extend reallife relationships, meet new people, form relationships of varying strength, and also use others merely  ...  A representative sample of players of a popular massively multiplayer online game (World of Warcraft) was interviewed to map out the social dynamics of guilds.  ...  Nicolas's research is based on a combination of qualitative methods (ethnography) with quantitative data collection and analysis (e.g., data mining and social network analysis).  ... 
doi:10.1177/1555412006292616 fatcat:n4nq7guxhrh5ddjdjfidmmn7ki

Survey on Cryptocurrency Networking: Context, State-of-the-Art, Challenges [article]

Maya Dotan, Yvonne-Anne Pignolet, Stefan Schmid, Saar Tochner, Aviv Zohar
2020 arXiv   pre-print
Cryptocurrencies such as Bitcoin are realized using distributed systems and hence critically rely on the performance and security of the interconnecting network.  ...  The requirements on these networks and their usage, however can differ significantly from traditional communication networks, with implications on all layers of the protocol stack.  ...  One of the reasons for such delays is churn. Imtiaz et al.  ... 
arXiv:2008.08412v1 fatcat:ishzj43g2fhibadqj2g3akfxgi

Microcontroller Implementation of Rule-based Inference System for Smart Home

BonJae Koo, Young Soo Park, SungHyun Yang
2014 International Journal of Smart Home  
In this study we quantitative data is obtained from 105 out of 180 targeted employees.  ...  using social sites.  ...  In synopsis, Pakistani firms employed 57% leverage in their capital structure that builds financial stress on firms.  ... 
doi:10.14257/ijsh.2014.8.6.19 fatcat:eiaeqnd4kfhznpn5r6fgffneq4

A Survey of App Store Analysis for Software Engineering

William Martin, Federica Sarro, Yue Jia, Yuanyuan Zhang, Mark Harman
2017 IEEE Transactions on Software Engineering  
Findings from App Store Analysis have a direct and actionable impact on the software teams that develop software for app stores, and have led to techniques for requirements engineering, release planning  ...  App Store Analysis combines this non-technical information with technical information to learn trends and behaviours within these forms of software repositories.  ...  ACKNOWLEDGMENTS We thank the anonymous reviewers for their very helpful feedback, and our many colleagues who responded with their valuable comments on an earlier version of this survey.  ... 
doi:10.1109/tse.2016.2630689 fatcat:tuqtkqnzordklgq2thihhc6sxy

Partnership as Experimentation: Business Organization and Survival in Egypt, 191001949

Cihan Artunn, Timothy W. Guinnane
2017 Social Science Research Network  
We test the model's predictions using a novel firm-level dataset comprising more than 12,000 enterprises established in Egypt between 1910 and 1949.  ...  Using a multi-armed bandit model, we show that an experimentation mechanism creates a spike in dissolution rates early in firms' lives, as less productive matches break down and agents look for better  ...  Empirical analysis of the Egyptian multi-owner enterprises supports the model's predictions.  ... 
doi:10.2139/ssrn.2973315 fatcat:w342ocjh4fbp3fqvucfu4smj64

Investigating Country Differences in Mobile App User Behavior and Challenges for Software Engineering

Soo Ling Lim, Peter J. Bentley, Natalie Kanakam, Fuyuki Ishikawa, Shinichi Honiden
2015 IEEE Transactions on Software Engineering  
Mobile applications (apps) are software developed for use on mobile devices and made available through app stores.  ...  The survey investigated user adoption of the app store concept, app needs, and rationale for selecting or abandoning an app. We collected data from more than 15 countries,  ...  Oda, Ruth Compton, Sanchia Yip, Thomas Compton, and Valentina Baljak for their feedback on the questionnaire, Jennifer van Heerde-Hudson for her survey advice, and the survey participants for their time  ... 
doi:10.1109/tse.2014.2360674 fatcat:uaaujhvfavftvie4737dowwj3u
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