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KDD
2006
ACM
164views Data Mining» more  KDD 2006»
16 years 6 months ago
Sampling from large graphs
Given a huge real graph, how can we derive a representative sample? There are many known algorithms to compute interesting measures (shortest paths, centrality, betweenness, etc.)...
Jure Leskovec, Christos Faloutsos
CONEXT
2008
ACM
15 years 8 months ago
Online estimation of RF interference
Increased AP density in enterprise WLANs leads to increasing RF interference and decreasing performance. An important step towards mitigating this problem is to construct precise ...
Nabeel Ahmed, Usman Ismail, Srinivasan Keshav, Kon...
ICSE
2008
IEEE-ACM
16 years 6 months ago
CCVisu: automatic visual software decomposition
Understanding the structure of large existing (and evolving) software systems is a major challenge for software engineers. In reverse engineering, we aim to compute, for a given s...
Dirk Beyer
ISAAC
2005
Springer
111views Algorithms» more  ISAAC 2005»
15 years 12 months ago
Boosting Spectral Partitioning by Sampling and Iteration
A partition of a set of n items is a grouping of the items into k disjoint classes of equal size. Any partition can be modeled as a graph: the items become the vertices of the grap...
Joachim Giesen, Dieter Mitsche
KDD
2010
ACM
327views Data Mining» more  KDD 2010»
15 years 10 months ago
Cold start link prediction
In the traditional link prediction problem, a snapshot of a social network is used as a starting point to predict, by means of graph-theoretic measures, the links that are likely ...
Vincent Leroy, Berkant Barla Cambazoglu, Francesco...