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PKDD
2000
Springer
159views Data Mining» more  PKDD 2000»
13 years 8 months ago
An Apriori-Based Algorithm for Mining Frequent Substructures from Graph Data
Abstract. This paper proposes a novel approach named AGM to eciently mine the association rules among the frequently appearing substructures in a given graph data set. A graph tran...
Akihiro Inokuchi, Takashi Washio, Hiroshi Motoda
PKDD
2004
Springer
147views Data Mining» more  PKDD 2004»
13 years 10 months ago
Using a Hash-Based Method for Apriori-Based Graph Mining
The problem of discovering frequent subgraphs of graph data can be solved by constructing a candidate set of subgraphs first, and then, identifying within this candidate set those...
Phu Chien Nguyen, Takashi Washio, Kouzou Ohara, Hi...
ICDM
2002
IEEE
178views Data Mining» more  ICDM 2002»
13 years 9 months ago
gSpan: Graph-Based Substructure Pattern Mining
We investigate new approaches for frequent graph-based pattern mining in graph datasets and propose a novel algorithm called gSpan (graph-based Substructure pattern mining), which...
Xifeng Yan, Jiawei Han
WWW
2008
ACM
14 years 5 months ago
Substructure similarity measurement in chinese recipes
Improving the precision of information retrieval has been a challenging issue on Chinese Web. As exemplified by Chinese recipes on the Web, it is not easy/natural for people to us...
Liping Wang, Qing Li, Na Li, Guozhu Dong, Yu Yang
ICDM
2009
IEEE
139views Data Mining» more  ICDM 2009»
13 years 2 months ago
Frequent Pattern Discovery from a Single Graph with Quantitative Itemsets
In this paper, we focus on a single graph whose vertices contain a set of quantitative attributes. Several networks can be naturally represented in this complex graph. An example i...
Yuuki Miyoshi, Tomonobu Ozaki, Takenao Ohkawa