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PKDD
2009
Springer
134views Data Mining» more  PKDD 2009»
15 years 9 months ago
Mining Graph Evolution Rules
In this paper we introduce graph-evolution rules, a novel type of frequency-based pattern that describe the evolution of large networks over time, at a local level. Given a sequenc...
Michele Berlingerio, Francesco Bonchi, Björn ...
ICDE
2006
IEEE
108views Database» more  ICDE 2006»
16 years 4 months ago
On the Inverse Classification Problem and its Applications
In this paper, we discuss the inverse classification problem, in which we desire to define the features of an incomplete record in such a way that will result in a desired class l...
Charu C. Aggarwal, Chen Chen, Jiawei Han
ICDM
2008
IEEE
117views Data Mining» more  ICDM 2008»
15 years 9 months ago
RTM: Laws and a Recursive Generator for Weighted Time-Evolving Graphs
How do real, weighted graphs change over time? What patterns, if any, do they obey? Earlier studies focus on unweighted graphs, and, with few exceptions, they focus on static snap...
Leman Akoglu, Mary McGlohon, Christos Faloutsos
SAC
2004
ACM
15 years 8 months ago
Frequent free tree discovery in graph data
In recent years, researchers in graph mining have been exploring linear paths as well as subgraphs as pattern languages. In this paper, we are investigating the middle ground betw...
Ulrich Rückert, Stefan Kramer
SDM
2009
SIAM
138views Data Mining» more  SDM 2009»
16 years 6 days ago
ShatterPlots: Fast Tools for Mining Large Graphs.
Graphs appear in several settings, like social networks, recommendation systems, computer communication networks, gene/protein biological networks, among others. A deep, recurring...
Ana Paula Appel, Andrew Tomkins, Christos Faloutso...