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KDD
2010
ACM
224views Data Mining» more  KDD 2010»
14 years 28 days ago
Multi-label learning by exploiting label dependency
In multi-label learning, each training example is associated with a set of labels and the task is to predict the proper label set for the unseen example. Due to the tremendous (ex...
Min-Ling Zhang, Kun Zhang
KDD
2008
ACM
195views Data Mining» more  KDD 2008»
14 years 9 months ago
Learning from multi-topic web documents for contextual advertisement
Contextual advertising on web pages has become very popular recently and it poses its own set of unique text mining challenges. Often advertisers wish to either target (or avoid) ...
Yi Zhang, Arun C. Surendran, John C. Platt, Mukund...
KDD
2003
ACM
190views Data Mining» more  KDD 2003»
14 years 9 months ago
Distance-enhanced association rules for gene expression
We introduce a novel data mining technique for the analysis of gene expression. Gene expression is the effective production of the protein that a gene encodes. We focus on the cha...
Aleksandar Icev, Carolina Ruiz, Elizabeth F. Ryder
HPDC
2008
IEEE
14 years 3 months ago
Issues in applying data mining to grid job failure detection and diagnosis
As grid computation systems become larger and more complex, manually diagnosing failures in jobs becomes impractical. Recently, machine-learning techniques have been proposed to d...
Lakshmikant Shrinivas, Jeffrey F. Naughton
ICDE
2007
IEEE
162views Database» more  ICDE 2007»
14 years 10 months ago
On Density Based Transforms for Uncertain Data Mining
In spite of the great progress in the data mining field in recent years, the problem of missing and uncertain data has remained a great challenge for data mining algorithms. Many ...
Charu C. Aggarwal