731 search results - page 17 / 147 » Taxonomy-superimposed graph mining |
CIKM
2009
Springer
14 years 2 months ago
2009
Springer
Graph data are subject to uncertainties in many applications due to incompleteness and imprecision of data. Mining uncertain graph data is semantically different from and computat...
SDM
2012
SIAM
11 years 10 months ago
2012
SIAM
Random walk graph kernel has been used as an important tool for various data mining tasks including classification and similarity computation. Despite its usefulness, however, it...
SDM
2010
SIAM
13 years 9 months ago
2010
SIAM
Given large, multi-million node graphs (e.g., FaceBook, web-crawls, etc.), how do they evolve over time? How are they connected? What are the central nodes and the outliers of the...
CINQ
2004
Springer
14 years 1 months ago
2004
Springer
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...
DIS
2004
Springer
14 years 1 months ago
2004
Springer
Abstract. Graph mining approaches are extremely popular and effective in molecular databases. The vast majority of these approaches first derive interesting, i.e. frequent, patte...