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KDD
1998
ACM
14 years 3 days ago
1998
ACM
Several pattern discovery methods proposed in the data mining literature have the drawbacks that they discover too many obvious or irrelevant patterns and that they do not leverag...
SDM
2007
SIAM
13 years 9 months ago
2007
SIAM
Data perturbation is a popular technique for privacypreserving data mining. The major challenge of data perturbation is balancing privacy protection and data quality, which are no...
SDM
2007
SIAM
13 years 9 months ago
2007
SIAM
In distributed data mining models, adopting a flat node distribution model can affect scalability. To address the problem of modularity, flexibility and scalability, we propose...
SDM
2007
SIAM
13 years 9 months ago
2007
SIAM
The problem of combining the ranked preferences of many experts is an old and surprisingly deep problem that has gained renewed importance in many machine learning, data mining, a...
DMIN
2006
13 years 9 months ago
2006
Abstract: Data preparation is a significant preprocessing task to prepare data for mining. The data mining process cannot succeed without a serious effort to prepare data. Very oft...