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» Graph Mining using Graph Pattern Profiles
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KDD
2005
ACM
145views Data Mining» more  KDD 2005»
15 years 9 months ago
Using and Learning Semantics in Frequent Subgraph Mining
The search for frequent subgraphs is becoming increasingly important in many application areas including Web mining and bioinformatics. Any use of graph structures in mining, howev...
Bettina Berendt
ICDM
2010
IEEE
158views Data Mining» more  ICDM 2010»
14 years 7 months ago
Patterns on the Connected Components of Terabyte-Scale Graphs
How do connected components evolve? What are the regularities that govern the dynamic growth process and the static snapshot of the connected components? In this work, we study pat...
U. Kang, Mary McGlohon, Leman Akoglu, Christos Fal...
KDD
2008
ACM
192views Data Mining» more  KDD 2008»
15 years 9 months ago
Partial least squares regression for graph mining
Attributed graphs are increasingly more common in many application domains such as chemistry, biology and text processing. A central issue in graph mining is how to collect inform...
Hiroto Saigo, Koji Tsuda, Nicole Krämer
ICDM
2006
IEEE
149views Data Mining» more  ICDM 2006»
15 years 3 months ago
Pattern Mining in Frequent Dynamic Subgraphs
Graph-structured data is becoming increasingly abundant in many application domains. Graph mining aims at finding interesting patterns within this data that represent novel knowl...
Karsten M. Borgwardt, Hans-Peter Kriegel, Peter Wa...
CINQ
2004
Springer
177views Database» more  CINQ 2004»
15 years 2 months ago
Generic Pattern Mining Via Data Mining Template Library
Frequent Pattern Mining (FPM) is a very powerful paradigm for mining informative and useful patterns in massive, complex datasets. In this paper we propose the Data Mining Templat...
Mohammed Javeed Zaki, Nilanjana De, Feng Gao, Paol...