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DATESO
2010
148views Database» more  DATESO 2010»
14 years 8 months ago
Using Spectral Clustering for Finding Students' Patterns of Behavior in Social Networks
Abstract. The high dimensionality of the data generated by social networks has been a big challenge for researchers. In order to solve the problems associated with this phenomenon,...
Gamila Obadi, Pavla Drázdilová, Jan ...
126
Voted
TKDE
2011
362views more  TKDE 2011»
14 years 5 months ago
A Link Analysis Extension of Correspondence Analysis for Mining Relational Databases
—This work introduces a link-analysis procedure for discovering relationships in a relational database or a graph, generalizing both simple and multiple correspondence analysis. ...
Luh Yen, Marco Saerens, François Fouss
SIGSOFT
2007
ACM
15 years 11 months ago
Mining specifications of malicious behavior
Malware detectors require a specification of malicious behavior. Typically, these specifications are manually constructed by investigating known malware. We present an automatic t...
Mihai Christodorescu, Somesh Jha, Christopher Krue...
81
Voted
CONEXT
2009
ACM
14 years 11 months ago
Exploiting dynamicity in graph-based traffic analysis: techniques and applications
Network traffic can be represented by a Traffic Dispersion Graph (TDG) that contains an edge between two nodes that send a particular type of traffic (e.g., DNS) to one another. T...
Marios Iliofotou, Michalis Faloutsos, Michael Mitz...
ICDE
2010
IEEE
260views Database» more  ICDE 2010»
15 years 10 months ago
Anonymizing Weighted Social Network Graphs
The increasing popularity of social networks has initiated a fertile research area in information extraction and data mining. Although such analysis can facilitate better understan...
Sudipto Das, Ömer Egecioglu, Amr El Abbadi