922 search results - page 7 / 185 » Attribute based data sharing with attribute revocation |
RSFDGRC
1999
Springer
15 years 1 months ago
1999
Springer
: In real-life data, in general, many attribute values are missing. Therefore, rule induction requires preprocessing, where missing attribute values are replaced by appropriate val...
74
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KES
2005
Springer
15 years 3 months ago
2005
Springer
In KDD procedure, to fill in missing data typically requires a very large investment of time and energy - often 80% to 90% of a data analysis project is spent in making the data re...
AUSAI
2006
Springer
15 years 1 months ago
2006
Springer
Attribute subsetting is a meta-classification technique, based on learning multiple base-level classifiers on projections of the training data. In prior work with nearest-neighbour...
146
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ICLP
2009
Springer
15 years 10 months ago
2009
Springer
Abstract. The overhead of matching CHR rules is alleviated by constraint store indexing. Attributed variables provide an efficient means of indexing on logical variables. Existing ...
102
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IEEEICCI
2009
IEEE
15 years 4 months ago
2009
IEEE
In practical issues, categorical data and numerical data usually coexist, and a unified data reduction technique for hybrid data is desirable. In this paper, an information measu...