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» Insights from Network Structure for Text Mining
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KDD
2009
ACM
180views Data Mining» more  KDD 2009»
15 years 2 months ago
Parallel community detection on large networks with propinquity dynamics
Graphs or networks can be used to model complex systems. Detecting community structures from large network data is a classic and challenging task. In this paper, we propose a nove...
Yuzhou Zhang, Jianyong Wang, Yi Wang, Lizhu Zhou
83
Voted
KDD
2000
ACM
115views Data Mining» more  KDD 2000»
15 years 1 months ago
A framework for specifying explicit bias for revision of approximate information extraction rules
Information extraction is one of the most important techniques used in Text Mining. One of the main problems in building information extraction (IE) systems is that the knowledge ...
Ronen Feldman, Yair Liberzon, Binyamin Rosenfeld, ...
PERCOM
2009
ACM
15 years 4 months ago
Using Situation Lattices in Sensor Analysis
Highly sensorised systems present two parallel challenges: how to design a sensor suite that can efficiently and cost-effectively support the needs of given services; and to extr...
Juan Ye, Lorcan Coyle, Simon Dobson, Paddy Nixon
PAKDD
2010
ACM
193views Data Mining» more  PAKDD 2010»
14 years 8 months ago
As Time Goes by: Discovering Eras in Evolving Social Networks
Abstract. Within the large body of research in complex network analysis, an important topic is the temporal evolution of networks. Existing approaches aim at analyzing the evolutio...
Michele Berlingerio, Michele Coscia, Fosca Giannot...
ESWS
2006
Springer
15 years 1 months ago
Semantic Network Analysis of Ontologies
A key argument for modeling knowledge in ontologies is the easy re-use and re-engineering of the knowledge. However, beside consistency checking, current ontology engineering tools...
Bettina Hoser, Andreas Hotho, Robert Jäschke,...