2227 search results - page 156 / 446 » Graph Mining based on a Data Partitioning Approach |
138
Voted
ICDM
2010
IEEE
14 years 10 months ago
2010
IEEE
Ensemble clustering has emerged as an important elaboration of the classical clustering problems. Ensemble clustering refers to the situation in which a number of different (input)...
113
Voted
CINQ
2004
Springer
15 years 6 months ago
2004
Springer
This chapter investigates subgroup discovery as a task of constraint-based mining of local patterns, aimed at describing groups of individuals with unusual distributional character...
113
Voted
ICDM
2008
IEEE
15 years 7 months ago
2008
IEEE
In recent years, co-clustering has emerged as a powerful data mining tool that can analyze dyadic data connecting two entities. However, almost all existing co-clustering techniqu...
111
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INCDM
2010
Springer
15 years 4 months ago
2010
Springer
This paper reports on a mechanism to identify temporal spatial trends in social networks. The trends of interest are defined in terms of the occurrence frequency of time stamped p...
107
Voted
INCDM
2010
Springer
14 years 11 months ago
2010
Springer
Many real world systems can be modeled as networks or graphs. Clustering algorithms that help us to organize and understand these networks are usually referred to as, graph based c...