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ADMA
2010
Springer
271views Data Mining» more  ADMA 2010»
9 years 11 months ago
Exploiting Concept Clumping for Efficient Incremental E-Mail Categorization
We introduce a novel approach to incremental e-mail categorization based on identifying and exploiting "clumps" of messages that are classified similarly. Clumping reflec...
Alfred Krzywicki, Wayne Wobcke
ADMA
2010
Springer
250views Data Mining» more  ADMA 2010»
10 years 28 days ago
On Probabilistic Models for Uncertain Sequential Pattern Mining
Muhammad Muzammal, Rajeev Raman
ADMA
2010
Springer
314views Data Mining» more  ADMA 2010»
10 years 2 months ago
Best Clustering Configuration Metrics: Towards Multiagent Based Clustering
Multi-Agent Clustering (MAC) requires a mechanism for identifying the most appropriate cluster configuration. This paper reports on experiments conducted with respect to a number o...
Santhana Chaimontree, Katie Atkinson, Frans Coenen
ADMA
2010
Springer
248views Data Mining» more  ADMA 2010»
10 years 2 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
ADMA
2010
Springer
264views Data Mining» more  ADMA 2010»
10 years 2 months ago
Frequent Pattern Trend Analysis in Social Networks
Abstract. This paper describes an approach to identifying and comparing frequent pattern trends in social networks. A frequent pattern trend is defined as a sequence of time-stampe...
Puteri N. E. Nohuddin, Rob Christley, Frans Coenen...
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