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» On the Complexity of Mining Association Rules
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CEAS
2008
Springer
13 years 10 months ago
A Campaign-based Characterization of Spamming Strategies
This paper presents a methodology for the characterization of spamming strategies based on the identification of spam campaigns. To deeply understand how spammers abuse network re...
Pedro Calais, Douglas Pires, Dorgival Olavo Guedes...
KDD
2009
ACM
152views Data Mining» more  KDD 2009»
14 years 9 months ago
A multi-relational approach to spatial classification
Spatial classification is the task of learning models to predict class labels based on the features of entities as well as the spatial relationships to other entities and their fe...
Richard Frank, Martin Ester, Arno Knobbe
PKDD
2007
Springer
120views Data Mining» more  PKDD 2007»
14 years 2 months ago
Privacy Preserving Market Basket Data Analysis
Randomized Response techniques have been empirically investigated in privacy preserving association rule mining. However, previous research on privacy preserving market basket data...
Ling Guo, Songtao Guo, Xintao Wu
CIKM
2009
Springer
14 years 3 months ago
Potential collaboration discovery using document clustering and community structure detection
Complex network analysis is a growing research area in a wide variety of domains and has recently become closely associated with data, text and web mining. One of the most active ...
Cristian Klen dos Santos, Alexandre Evsukoff, Beat...
SIGMOD
2004
ACM
154views Database» more  SIGMOD 2004»
14 years 8 months ago
Computing Clusters of Correlation Connected Objects
The detection of correlations between different features in a set of feature vectors is a very important data mining task because correlation indicates a dependency between the fe...
Christian Böhm, Karin Kailing, Peer Krög...