Mining Past-Time Temporal Rules: A Dynamic Analysis Approach

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Bibliographic Details
Main Authors:	LO, David, KHOO, Siau-Cheng, LIU, Chao
Format:	text
Language:	English
Published:	Institutional Knowledge at Singapore Management University 2009
Subjects:	Software Engineering
Online Access:	https://ink.library.smu.edu.sg/sis_research/243
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Institution:	Singapore Management University
Language:	English

id	sg-smu-ink.sis_research-1242
record_format	dspace
spelling	sg-smu-ink.sis_research-12422010-09-24T05:42:03Z Mining Past-Time Temporal Rules: A Dynamic Analysis Approach LO, David KHOO, Siau-Cheng LIU, Chao 2009-01-01T08:00:00Z text https://ink.library.smu.edu.sg/sis_research/243 Research Collection School Of Computing and Information Systems eng Institutional Knowledge at Singapore Management University Software Engineering
institution	Singapore Management University
building	SMU Libraries
continent	Asia
country	Singapore Singapore
content_provider	SMU Libraries
collection	InK@SMU
language	English
topic	Software Engineering
spellingShingle	Software Engineering LO, David KHOO, Siau-Cheng LIU, Chao Mining Past-Time Temporal Rules: A Dynamic Analysis Approach
format	text
author	LO, David KHOO, Siau-Cheng LIU, Chao
author_facet	LO, David KHOO, Siau-Cheng LIU, Chao
author_sort	LO, David
title	Mining Past-Time Temporal Rules: A Dynamic Analysis Approach
title_short	Mining Past-Time Temporal Rules: A Dynamic Analysis Approach
title_full	Mining Past-Time Temporal Rules: A Dynamic Analysis Approach
title_fullStr	Mining Past-Time Temporal Rules: A Dynamic Analysis Approach
title_full_unstemmed	Mining Past-Time Temporal Rules: A Dynamic Analysis Approach
title_sort	mining past-time temporal rules: a dynamic analysis approach
publisher	Institutional Knowledge at Singapore Management University
publishDate	2009
url	https://ink.library.smu.edu.sg/sis_research/243
_version_	1770570349972291584

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