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KDD
2010
ACM
265views Data Mining» more  KDD 2010»
15 years 2 months ago
Scalable influence maximization for prevalent viral marketing in large-scale social networks
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...
Wei Chen, Chi Wang, Yajun Wang
102
Voted
DAGSTUHL
2004
15 years 2 months ago
Knowledge-Based Sampling for Subgroup Discovery
Subgroup discovery aims at finding interesting subsets of a classified example set that deviates from the overall distribution. The search is guided by a so-called utility function...
Martin Scholz
126
Voted
CIKM
2010
Springer
14 years 11 months ago
Understanding retweeting behaviors in social networks
Retweeting is an important action (behavior) on Twitter, indicating the behavior that users re-post microblogs of their friends. While much work has been conducted for mining text...
Zi Yang, Jingyi Guo, Keke Cai, Jie Tang, Juanzi Li...
83
Voted
PKDD
2010
Springer
172views Data Mining» more  PKDD 2010»
14 years 11 months ago
Surprising Patterns for the Call Duration Distribution of Mobile Phone Users
How long are the phone calls of mobile users? What are the chances of a call to end, given its current duration? Here we answer these questions by studying the call duration distri...
Pedro O. S. Vaz de Melo, Leman Akoglu, Christos Fa...
133
Voted
ICDM
2009
IEEE
171views Data Mining» more  ICDM 2009»
14 years 10 months ago
Hybrid Clustering by Integrating Text and Citation Based Graphs in Journal Database Analysis
We propose a hybrid clustering strategy by integrating heterogeneous information sources as graphs. The hybrid clustering method is extended on the basis of modularity based Louva...
Xinhai Liu, Shi Yu, Yves Moreau, Frizo A. L. Janss...