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» Numbers in Multi-relational Data Mining
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ADMA
2010
Springer
248views Data Mining» more  ADMA 2010»
15 years 3 months ago
Classification Inductive Rule Learning with Negated Features
This paper reports on an investigation to compare a number of strategies to include negated features within the process of Inductive Rule Learning (IRL). The emphasis is on generat...
Stephanie Chua, Frans Coenen, Grant Malcolm
ICDM
2009
IEEE
137views Data Mining» more  ICDM 2009»
15 years 2 months ago
Argumentation Based Constraint Acquisition
Efficient acquisition of constraint networks is a key factor for the applicability of constraint problem solving methods. Current techniques ease knowledge acquisition by generati...
Kostyantyn M. Shchekotykhin, Gerhard Friedrich
WSDM
2012
ACM
252views Data Mining» more  WSDM 2012»
14 years 17 days ago
WebSets: extracting sets of entities from the web using unsupervised information extraction
We describe a open-domain information extraction method for extracting concept-instance pairs from an HTML corpus. Most earlier approaches to this problem rely on combining cluste...
Bhavana Bharat Dalvi, William W. Cohen, Jamie Call...
KDD
2012
ACM
205views Data Mining» more  KDD 2012»
13 years 7 months ago
From user comments to on-line conversations
We present an analysis of user conversations in on-line social media and their evolution over time. We propose a dynamic model that predicts the growth dynamics and structural pro...
Chunyan Wang, Mao Ye, Bernardo A. Huberman
KDD
2007
ACM
178views Data Mining» more  KDD 2007»
16 years 5 months ago
Practical learning from one-sided feedback
In many data mining applications, online labeling feedback is only available for examples which were predicted to belong to the positive class. Such applications include spam filt...
D. Sculley