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» Extracting Approximate Patterns
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142
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WSDM
2012
ACM
304views Data Mining» more  WSDM 2012»
13 years 10 months ago
Beyond co-occurrence: discovering and visualizing tag relationships from geo-spatial and temporal similarities
Studying relationships between keyword tags on social sharing websites has become a popular topic of research, both to improve tag suggestion systems and to discover connections b...
Haipeng Zhang, Mohammed Korayem, Erkang You, David...
143
Voted
KDD
2012
ACM
201views Data Mining» more  KDD 2012»
13 years 5 months ago
Learning from crowds in the presence of schools of thought
Crowdsourcing has recently become popular among machine learning researchers and social scientists as an effective way to collect large-scale experimental data from distributed w...
Yuandong Tian, Jun Zhu
121
Voted
TVCG
2012
195views Hardware» more  TVCG 2012»
13 years 5 months ago
Hierarchical Streamline Bundles
—Effective three-dimensional streamline placement and visualization plays an essential role in many science and engineering disciplines. The main challenge for effective streamli...
Hongfeng Yu, Chaoli Wang, Ching-Kuang Shene, Jacqu...
128
Voted
KDD
2006
ACM
129views Data Mining» more  KDD 2006»
16 years 3 months ago
Suppressing model overfitting in mining concept-drifting data streams
Mining data streams of changing class distributions is important for real-time business decision support. The stream classifier must evolve to reflect the current class distributi...
Haixun Wang, Jian Yin, Jian Pei, Philip S. Yu, Jef...
160
Voted
KDD
2003
ACM
191views Data Mining» more  KDD 2003»
16 years 3 months ago
Assessment and pruning of hierarchical model based clustering
The goal of clustering is to identify distinct groups in a dataset. The basic idea of model-based clustering is to approximate the data density by a mixture model, typically a mix...
Jeremy Tantrum, Alejandro Murua, Werner Stuetzle