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» Using a Hash-Based Method for Apriori-Based Graph Mining
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FLAIRS
2006
13 years 10 months ago
Inexact Graph Matching: A Case of Study
Inexact graph matching has become an important research area because it is used to find similarities among objects in several real domains such as chemical and biological compound...
Ivan Olmos, Jesus A. Gonzalez, Mauricio Osorio
BMCBI
2008
184views more  BMCBI 2008»
13 years 8 months ago
Integrating protein-protein interactions and text mining for protein function prediction
Background: Functional annotation of proteins remains a challenging task. Currently the scientific literature serves as the main source for yet uncurated functional annotations, b...
Samira Jaeger, Sylvain Gaudan, Ulf Leser, Dietrich...
KDD
2012
ACM
201views Data Mining» more  KDD 2012»
11 years 11 months ago
Low rank modeling of signed networks
Trust networks, where people leave trust and distrust feedback, are becoming increasingly common. These networks may be regarded as signed graphs, where a positive edge weight cap...
Cho-Jui Hsieh, Kai-Yang Chiang, Inderjit S. Dhillo...
KDD
2004
ACM
124views Data Mining» more  KDD 2004»
14 years 9 months ago
Eigenspace-based anomaly detection in computer systems
We report on an automated runtime anomaly detection method at the application layer of multi-node computer systems. Although several network management systems are available in th...
Hisashi Kashima, Tsuyoshi Idé
ICTAI
2007
IEEE
14 years 2 months ago
A Probabilistic Substructure-Based Approach for Graph Classification
The classification of graph based objects is an important challenge from a knowledge discovery standpoint and has attracted considerable attention recently. In this paper, we pres...
H. D. K. Moonesinghe, Hamed Valizadegan, Samah Jam...