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» Improving data mining utility with projective sampling
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DMIN
2006
144views Data Mining» more  DMIN 2006»
14 years 11 months ago
Discovering Assignment Rules in Workforce Schedules Using Data Mining
Discovering hidden patterns in large sets of workforce schedules to gain insight into the potential knowledge in workforce schedules are crucial to better understanding the workfor...
Jihong Yan
CEAS
2006
Springer
15 years 1 months ago
Using Early Results from the 'spamHINTS' Project to Estimate an ISP Abuse Team's Task
ISPs operate "abuse" teams to deal with reports of inappropriate email being sent by their customers. Currently, the majority of this work is dealing with insecure syste...
Richard Clayton
72
Voted
ICDM
2005
IEEE
138views Data Mining» more  ICDM 2005»
15 years 3 months ago
Labeling Unclustered Categorical Data into Clusters Based on the Important Attribute Values
Sampling has been recognized as an important technique to improve the efficiency of clustering. However, with sampling applied, those points which are not sampled will not have t...
Hung-Leng Chen, Kun-Ta Chuang, Ming-Syan Chen
ICDM
2008
IEEE
97views Data Mining» more  ICDM 2008»
15 years 4 months ago
Semi-supervised Learning from General Unlabeled Data
We consider the problem of Semi-supervised Learning (SSL) from general unlabeled data, which may contain irrelevant samples. Within the binary setting, our model manages to better...
Kaizhu Huang, Zenglin Xu, Irwin King, Michael R. L...
ICDM
2006
IEEE
131views Data Mining» more  ICDM 2006»
15 years 3 months ago
Dimension Reduction for Supervised Ordering
Ordered lists of objects are widely used as representational forms. Such ordered objects include Web search results and best-seller lists. Techniques for processing such ordinal d...
Toshihiro Kamishima, Shotaro Akaho