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» Data Clustering: A Review
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CIS
2005
Springer
16 years 4 days ago
Computational Intelligence for Network Intrusion Detection: Recent Contributions
Computational intelligence has figured prominently in many solutions to the network intrusion detection problem since the 1990s. This prominence and popularity has continued in the...
Asim Karim
NLDB
2010
Springer
15 years 10 months ago
Semantic Content Access Using Domain-Independent NLP Ontologies
We present a lightweight, user-centred approach for document navigation and analysis that is based on an ontology of text mining results. This allows us to bring the result of exis...
René Witte, Ralf Krestel
CEJCS
2011
78views more  CEJCS 2011»
14 years 6 months ago
Good versus optimal: Why network analytic methods need more systematic evaluation
: Network analytic method designed for the analysis of static networks promise to identify significant relational patterns that correlate with important structures in the complex ...
Katharina Anna Zweig
KDD
2007
ACM
159views Data Mining» more  KDD 2007»
16 years 7 months ago
Constraint-driven clustering
Clustering methods can be either data-driven or need-driven. Data-driven methods intend to discover the true structure of the underlying data while need-driven methods aims at org...
Rong Ge, Martin Ester, Wen Jin, Ian Davidson
ICDM
2005
IEEE
151views Data Mining» more  ICDM 2005»
16 years 6 days ago
A Framework for Semi-Supervised Learning Based on Subjective and Objective Clustering Criteria
In this paper, we propose a semi-supervised framework for learning a weighted Euclidean subspace, where the best clustering can be achieved. Our approach capitalizes on user-const...
Maria Halkidi, Dimitrios Gunopulos, Nitin Kumar, M...