KDD
2010
ACM
13 years 7 months ago
2010
ACM
Influence maximization, defined by Kempe, Kleinberg, and Tardos (2003), is the problem of finding a small set of seed nodes in a social network that maximizes the spread of influe...
KDD
2010
ACM
13 years 7 months ago
2010
ACM
Information diffusion and virus propagation are fundamental processes talking place in networks. While it is often possible to directly observe when nodes become infected, observi...
KDD
2010
ACM
13 years 7 months ago
2010
ACM
KDD
2010
ACM
13 years 7 months ago
2010
ACM
KDD
2010
ACM
13 years 7 months ago
2010
ACM
Recent advances in linear classification have shown that for applications such as document classification, the training can be extremely efficient. However, most of the existing t...
KDD
2010
ACM
13 years 7 months ago
2010
ACM
Dimensionality reduction plays an important role in many data mining applications involving high-dimensional data. Many existing dimensionality reduction techniques can be formula...
KDD
2010
ACM
13 years 7 months ago
2010
ACM
We consider the problem of learning incoherent sparse and lowrank patterns from multiple tasks. Our approach is based on a linear multi-task learning formulation, in which the spa...
KDD
2010
ACM
13 years 7 months ago
2010
ACM
KDD
2010
ACM
13 years 7 months ago
2010
ACM
This paper introduces mass estimation—a base modelling mechanism in data mining. It provides the theoretical basis of mass and an efficient method to estimate mass. We show that...
KDD
2010
ACM
13 years 7 months ago
2010
ACM
Advances in data collection and storage capacity have made it increasingly possible to collect highly volatile graph data for analysis. Existing graph analysis techniques are not ...