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KDD
2004
ACM
148views Data Mining» more  KDD 2004»
14 years 5 months ago
A quickstart in frequent structure mining can make a difference
Siegfried Nijssen, Joost N. Kok
PKDD
2010
Springer
235views Data Mining» more  PKDD 2010»
13 years 2 months ago
Online Structural Graph Clustering Using Frequent Subgraph Mining
The goal of graph clustering is to partition objects in a graph database into different clusters based on various criteria such as vertex connectivity, neighborhood similarity or t...
Madeleine Seeland, Tobias Girschick, Fabian Buchwa...
CIKM
2004
Springer
13 years 10 months ago
Discovering frequently changing structures from historical structural deltas of unordered XML
Recently, a large amount of work has been done in XML data mining. However, we observed that most of the existing works focus on the snapshot XML data, while XML data is dynamic i...
Qiankun Zhao, Sourav S. Bhowmick, Mukesh K. Mohani...
SIGMOD
2004
ACM
162views Database» more  SIGMOD 2004»
14 years 4 months ago
Graph Indexing: A Frequent Structure-based Approach
Graph has become increasingly important in modelling complicated structures and schemaless data such as proteins, chemical compounds, and XML documents. Given a graph query, it is...
Xifeng Yan, Philip S. Yu, Jiawei Han
DASFAA
2005
IEEE
133views Database» more  DASFAA 2005»
13 years 10 months ago
Mining Frequent Tree-Like Patterns in Large Datasets
In this paper, we propose a novel data mining scheme to explore the frequent hierarchical structure patterns, named tree-like patterns, with the relationship of each item on a sequ...
Tzung-Shi Chen, Shih-Chun Hsu