1314 search results - page 78 / 263 » Approximate data mining in very large relational data |
138
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ICDM
2003
IEEE
15 years 7 months ago
2003
IEEE
Semi-supervised learning methods construct classifiers using both labeled and unlabeled training data samples. While unlabeled data samples can help to improve the accuracy of trai...
126
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ICDM
2007
IEEE
15 years 5 months ago
2007
IEEE
Many databases will not or can not be disclosed without strong guarantees that no sensitive information can be extracted. To address this concern several data perturbation techniq...
133
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CIKM
2010
Springer
15 years 8 days ago
2010
Springer
Non-negative tensor factorization (NTF) is a relatively new technique that has been successfully used to extract significant characteristics from polyadic data, such as data in s...
108
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PAKDD
2007
ACM
15 years 7 months ago
2007
ACM
Abstract. Noise significantly affects cluster quality. Conventional clustering methods hardly detect clusters in a data set containing a large amount of noise. Projected clusterin...
KDD
2006
ACM
16 years 2 months ago
2006
ACM
Grid systems are proving increasingly useful for managing the batch computing jobs of organizations. One well known example for that is Intel which uses an internally developed sy...