An analysis of game design using graph-based substructure mining technique

To analyze and extract design of existing games is an interesting game research area but they are subjective due to different personal opinions. This paper presents method for finding central among personal vision of analyses by using graph-based representation of game design which allows the common...

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Main Author:	Keattikorn Samarnggoon
Format:	Conference Proceeding
Published:	2018
Subjects:	Computer Science
Online Access:	https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=79957556780&origin=inward http://cmuir.cmu.ac.th/jspui/handle/6653943832/49887
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Institution:	Chiang Mai University

id	th-cmuir.6653943832-49887
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spelling	th-cmuir.6653943832-498872018-09-04T04:19:46Z An analysis of game design using graph-based substructure mining technique Keattikorn Samarnggoon Computer Science To analyze and extract design of existing games is an interesting game research area but they are subjective due to different personal opinions. This paper presents method for finding central among personal vision of analyses by using graph-based representation of game design which allows the common to be found by the use of graph mining technique. The experimental result shows common graph which is compressed from diversity of game design graphs. © 2011 IEEE. 2018-09-04T04:19:46Z 2018-09-04T04:19:46Z 2011-05-31 Conference Proceeding 2-s2.0-79957556780 10.1109/ICCRD.2011.5764038 https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=79957556780&origin=inward http://cmuir.cmu.ac.th/jspui/handle/6653943832/49887
institution	Chiang Mai University
building	Chiang Mai University Library
country	Thailand
collection	CMU Intellectual Repository
topic	Computer Science
spellingShingle	Computer Science Keattikorn Samarnggoon An analysis of game design using graph-based substructure mining technique
description	To analyze and extract design of existing games is an interesting game research area but they are subjective due to different personal opinions. This paper presents method for finding central among personal vision of analyses by using graph-based representation of game design which allows the common to be found by the use of graph mining technique. The experimental result shows common graph which is compressed from diversity of game design graphs. © 2011 IEEE.
format	Conference Proceeding
author	Keattikorn Samarnggoon
author_facet	Keattikorn Samarnggoon
author_sort	Keattikorn Samarnggoon
title	An analysis of game design using graph-based substructure mining technique
title_short	An analysis of game design using graph-based substructure mining technique
title_full	An analysis of game design using graph-based substructure mining technique
title_fullStr	An analysis of game design using graph-based substructure mining technique
title_full_unstemmed	An analysis of game design using graph-based substructure mining technique
title_sort	analysis of game design using graph-based substructure mining technique
publishDate	2018
url	https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=79957556780&origin=inward http://cmuir.cmu.ac.th/jspui/handle/6653943832/49887
_version_	1681423490904752128

An analysis of game design using graph-based substructure mining technique

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