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» Mining for Useful Association Rules Using the ATMS
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KDD
2002
ACM
109views Data Mining» more  KDD 2002»
16 years 4 months ago
Mining intrusion detection alarms for actionable knowledge
In response to attacks against enterprise networks, administrators increasingly deploy intrusion detection systems. These systems monitor hosts, networks, and other resources for ...
Klaus Julisch, Marc Dacier
ICDM
2009
IEEE
124views Data Mining» more  ICDM 2009»
15 years 10 months ago
Rule Ensembles for Multi-target Regression
—Methods for learning decision rules are being successfully applied to many problem domains, especially where understanding and interpretation of the learned model is necessary. ...
Timo Aho, Bernard Zenko, Saso Dzeroski
ROCAI
2004
Springer
15 years 9 months ago
Learning Mixtures of Localized Rules by Maximizing the Area Under the ROC Curve
We introduce a model class for statistical learning which is based on mixtures of propositional rules. In our mixture model, the weight of a rule is not uniform over the entire ins...
Tobias Sing, Niko Beerenwinkel, Thomas Lengauer
KDD
1994
ACM
116views Data Mining» more  KDD 1994»
15 years 8 months ago
Exception Dags as Knowledge Structures
: The problem of transforming the knowledge bases of performance systems using induced rules or decision trees into comprehensible knowledgestructures is addressed. A knowledgestru...
Brian R. Gaines
LREC
2010
309views Education» more  LREC 2010»
15 years 5 months ago
Comment Extraction from Blog Posts and Its Applications to Opinion Mining
Blog posts containing many personal experiences or perspectives toward specific subjects are useful. Blogs allow readers to interact with bloggers by placing comments on specific ...
Huan-An Kao, Hsin-Hsi Chen