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» Applications and Research Problems of Subgroup Mining
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87
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KDD
2009
ACM
205views Data Mining» more  KDD 2009»
15 years 4 months ago
From active towards InterActive learning: using consideration information to improve labeling correctness
Data mining techniques have become central to many applications. Most of those applications rely on so called supervised learning algorithms, which learn from given examples in th...
Abraham Bernstein, Jiwen Li
92
Voted
KDD
2009
ACM
169views Data Mining» more  KDD 2009»
15 years 4 months ago
On burstiness-aware search for document sequences
As the number and size of large timestamped collections (e.g. sequences of digitized newspapers, periodicals, blogs) increase, the problem of efficiently indexing and searching su...
Theodoros Lappas, Benjamin Arai, Manolis Platakis,...
ICDM
2009
IEEE
155views Data Mining» more  ICDM 2009»
15 years 4 months ago
A Contrast Pattern Based Clustering Quality Index for Categorical Data
Since clustering is unsupervised and highly explorative, clustering validation (i.e. assessing the quality of clustering solutions) has been an important and long standing researc...
Qingbao Liu, Guozhu Dong
ADMA
2008
Springer
122views Data Mining» more  ADMA 2008»
15 years 4 months ago
Open Domain Recommendation: Social Networks and Collaborative Filtering
Commercial enterprises employ data mining techniques to recommend products to their customers. Most of the prior research is usually focused on a specific domain such as movies or...
Sarah K. Tyler, Yi Zhang
KDD
1997
ACM
96views Data Mining» more  KDD 1997»
15 years 1 months ago
Using General Impressions to Analyze Discovered Classification Rules
One of the important problems in data mining is the evaluation of subjective interestingness of the discovered rules. Past research has found that in many real-life applications i...
Bing Liu, Wynne Hsu, Shu Chen