gPrune: A Constraint Pushing Framework for Graph Pattern Mining

gPrune: A Constraint Pushing Framework for Graph Pattern Mining

In graph mining applications, there has been an increasingly strong urge for imposing user-specified constraints on the mining results. However, unlike most traditional itemset constraints, structural constraints, such as density and diameter of a graph, are very hard to be pushed deep into the mini...

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Bibliographic Details
Main Authors: ZHU, Feida, YAN, Xifeng, HAN, Jiawei, YU, Philip S.
Format: text
Language:English
Published: Institutional Knowledge at Singapore Management University 2007
Subjects:
Antimonotonicities
Pruning properties
Constraint theory
Data reduction
Data structures
Pattern recognition
Databases and Information Systems
Numerical Analysis and Scientific Computing
Online Access:https://ink.library.smu.edu.sg/sis_research/901
https://ink.library.smu.edu.sg/context/sis_research/article/1900/viewcontent/gPrune_pp.pdf
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Institution: Singapore Management University
Language: English

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https://ink.library.smu.edu.sg/sis_research/901
https://ink.library.smu.edu.sg/context/sis_research/article/1900/viewcontent/gPrune_pp.pdf

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