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ISSTA
2009
ACM
14 years 2 months ago
Identifying bug signatures using discriminative graph mining
Bug localization has attracted a lot of attention recently. Most existing methods focus on pinpointing a single statement or function call which is very likely to contain bugs. Al...
Hong Cheng, David Lo, Yang Zhou, Xiaoyin Wang, Xif...
COMAD
2009
13 years 8 months ago
Modeling Relational Data as Graphs for Mining
The focus of this paper is to develop algorithms and a framework for modeling transactional data stored in relational database into graphs for mining. Most of the real-world trans...
Subhesh Pradhan, Sharma Chakravarthy, Aditya Telan...
ACSC
2009
IEEE
14 years 2 months ago
A ConceptLink Graph for Text Structure Mining
Most text mining methods are based on representing documents using a vector space model, commonly known as a bag of word model, where each document is modeled as a linear vector r...
Rowena Chau, Ah Chung Tsoi, Markus Hagenbuchner, V...
KDD
2007
ACM
144views Data Mining» more  KDD 2007»
14 years 8 months ago
Fast direction-aware proximity for graph mining
In this paper we study asymmetric proximity measures on directed graphs, which quantify the relationships between two nodes or two groups of nodes. The measures are useful in seve...
Hanghang Tong, Christos Faloutsos, Yehuda Koren
SSDBM
2007
IEEE
131views Database» more  SSDBM 2007»
14 years 1 months ago
Mining RNA Tertiary Motifs with Structure Graphs
We present a novel application of graph database mining to identify tertiary motifs in RNA structures. In od, we abstract an RNA molecule as a labeled graph and use a frequent sub...
Xueyi Wang, Jun Huan, Jack Snoeyink, Wei Wang 0010