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CALL FOR CONTRIBUTIONS
Data Analytics Applications in Gaming and Entertainment
https://gdmbook.wordpress.com/
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This is a call for contributions for the *Data Analytics Applications in 
Gaming and Entertainment* book to be published by CRC Press, Taylor & 
Francis Group in late 2018. The book is part of the Data Analytics 
Applications book series edited by Jay Liebowitz.


*Outline*

The last decade has witnessed the rise of big data in game development 
as the increasing proliferation of Internet-enabled gaming devices has 
made it easier than ever before to collect large amounts of 
player-related data. At the same time the emergence of new business 
models and the diversification of the player base have exposed a broader 
potential audience which attaches great importance to being able to 
tailor game experiences to a wide range of preferences and skill levels. 
This, in turn, has led to a growing interest in data mining techniques 
as they offer new opportunities for deriving actionable insights in 
order to inform game design, to ensure customer satisfaction, to 
maximize revenues, and to drive technical innovation.

This volume seeks to provide a comprehensive overview of data mining 
applications pertaining to all aspects of gaming and entertainment. It 
is intended to serve as a reference volume for academics and 
practitioners alike. The book will be structured along four main themes, 
covering different aspects of data mining in games. Possible topics of 
interest for each of the themes are listed below.


*Important Dates*

July 31, 2017       Deadline for chapter proposals
September 15, 2017  Notification of proposal acceptance
January 30, 2018    Draft chapters due
April 15, 2018      Editorial feedback and comments from reviewers 
returned to authors
May 30, 2018        Revised chapters due
July, 15, 2018      All chapters send to publisher


*Themes and Topics of Interest*

o) Introductory chapters to game data mining
Introductory chapters aimed at explaining common techniques used in the 
context of game data mining and data-driven game development. For 
example, overview chapters explaining data mining techniques such as 
clustering methods or pattern mining and their application in the gaming 
domain.

o) Data mining for games user research
Contributions pertaining to issues related to games analytics and 
directed towards understanding player behavior and informing games user 
research. Topics of interest include, among others, player profiling and 
modeling, behavioral analysis, understanding player communities and 
social structures, churn prediction and retention analysis, balancing of 
in-game economies, or monetization.

o) Data mining for game technology
Contributions concerning technical aspects of game development which 
make use of large-scale datasets such as data-driven approaches to game 
AI, dynamic difficulty adjustment, and procedural content or level 
generation.

o) Visualization of large-scale game data
Contributions dealing with the visualization of in-game data for the 
purpose of exploration, analysis, knowledge discovery, and 
communication. This includes, but is not limited to spatio-temporal 
visualization approaches, multi-modal data visualization, visual 
analytics tools, and time-based visualizations.

This list is meant to be suggestive, not exhaustive. If you have any 
suggestion for an interesting chapter not covered here please get in touch.


*Contribution Formats*

o) Research articles covering all aspects of data mining in gaming or 
entertainment. Such chapters may describe novel approaches, methods, or 
research findings. Chapters reviewing common techniques or discussing 
the state-of-the-art in game data mining are also within the scope of 
the book.

o) Case studies describing the application of data-mining technique in 
practical settings. We especially welcome case studies from industry 
experts. Case studies may cover one or multiple themes. For example, 
case studies may describe best practices or lessons learned, e.g., by 
highlighting what went right and wrong in data-driven game development 
(such as, for example, Gamasutra style post-mortems).


*Proposal Submission*

Proposals should not exceed 600 words and should include a tentative 
title, a short description/outline of the chapter, author names, 
affiliations and a brief biography. Submission should be previously 
unpublished and should not be under consideration for publication 
elsewhere. Please send your proposals via e-mail to 
[log in to unmask] Deadline for submission of chapter 
proposals is July 31th 2017* although early submissions are encouraged.

The final chapter should be around 20-25 double-spaced pages (incl. 
figures and tables). Templates for formatting the chapter itself will be 
provided in due time.

Proposals will be used to evaluate if the proposed chapter fits the 
topic of the book. All accepted chapters will then undergo a 
double-blind review process. For additional inquiries and advice on the 
potential suitability of any proposed chapter please e-mail me at 
[log in to unmask]

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Editor:     Guenter Wallner (University of Applied Arts, Vienna, Austria)
Publisher:  CRC Press, Taylor & Francis Group
Website:    Further details can be found at https://gdmbook.wordpress.com/

A PDF of this call is available at: 
https://gdmbook.wordpress.com/call-for-contributions/
Please feel free to forward this call to any colleagues that you feel 
may be interested.

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