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» Learning network structure from passive measurements
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NCA
2005
IEEE
14 years 1 months ago
Decentralized Schemes for Size Estimation in Large and Dynamic Groups
Large-scale and dynamically changing distributed systems such as the Grid, peer-to-peer overlays, etc., need to collect several kinds of global statistics in a decentralized manne...
Dionysios Kostoulas, Dimitrios Psaltoulis, Indrani...
LREC
2010
145views Education» more  LREC 2010»
13 years 9 months ago
Generic Ontology Learners on Application Domains
In ontology learning from texts, we have ontology-rich domains where we have large structured domain knowledge repositories or we have large general corpora with large general str...
Francesca Fallucchi, Maria Teresa Pazienza, Fabio ...
WWW
2010
ACM
14 years 2 months ago
Stop thinking, start tagging: tag semantics emerge from collaborative verbosity
Recent research provides evidence for the presence of emergent semantics in collaborative tagging systems. While several methods have been proposed, little is known about the fact...
Christian Körner, Dominik Benz, Andreas Hotho...
CIKM
2009
Springer
14 years 2 months ago
Group CRM: a new telecom CRM framework from social network perspective
The structure of customer communication network provides us a natural way to understand customers’ relationships. Traditional customer relationship management (CRM) methods focu...
Bin Wu, Qi Ye, Shengqi Yang, Bai Wang
CEC
2007
IEEE
13 years 11 months ago
Mining association rules from databases with continuous attributes using genetic network programming
Most association rule mining algorithms make use of discretization algorithms for handling continuous attributes. Discretization is a process of transforming a continuous attribute...
Karla Taboada, Eloy Gonzales, Kaoru Shimada, Shing...