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» Graph Mining using Graph Pattern Profiles
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BIBE
2007
IEEE
141views Bioinformatics» more  BIBE 2007»
15 years 1 months ago
Graph and Topological Structure Mining on Scientific Articles
In this paper, we investigate a new approach for literature mining. We use frequent subgraph mining, and its generalization topological structure mining, for finding interesting re...
Fan Wang, Ruoming Jin, Gagan Agrawal, Helen Piontk...
COMAD
2009
14 years 10 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...
KDD
2009
ACM
182views Data Mining» more  KDD 2009»
15 years 10 months ago
Scalable graph clustering using stochastic flows: applications to community discovery
Algorithms based on simulating stochastic flows are a simple and natural solution for the problem of clustering graphs, but their widespread use has been hampered by their lack of...
Venu Satuluri, Srinivasan Parthasarathy
ICDM
2006
IEEE
134views Data Mining» more  ICDM 2006»
15 years 3 months ago
Fast Frequent Free Tree Mining in Graph Databases
Free tree, as a special graph which is connected, undirected and acyclic, is extensively used in domains such as computational biology, pattern recognition, computer networks, XML...
Peixiang Zhao, Jeffrey Xu Yu
ICDM
2002
IEEE
178views Data Mining» more  ICDM 2002»
15 years 2 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