4085 search results - page 624 / 817 » Benchmarking Data Mining Algorithms |
190
Voted
KDD
2006
ACM
16 years 7 months ago
2006
ACM
To learn concepts over massive data streams, it is essential to design inference and learning methods that operate in real time with limited memory. Online learning methods such a...
240
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EUSFLAT
2009
15 years 4 months ago
2009
One of the new trends in genetic fuzzy systems (GFS) is the use of evolutionary multiobjective optimization (EMO) algorithms. This is because EMO algorithms can easily handle two c...
222
Voted
EDBT
2011
ACM
14 years 10 months ago
2011
ACM
Most known frequent item set mining algorithms work by enumerating candidate item sets and pruning infrequent candidates. An alternative method, which works by intersecting transa...
171
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CRYPTO
2004
Springer
16 years 12 days ago
2004
Springer
In this paper we study the long standing problem of information extraction from multiple linear approximations. We develop a formal statistical framework for block cipher attacks b...
174
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NIPS
2007
15 years 8 months ago
2007
We present a theoretical study on the discriminative clustering framework, recently proposed for simultaneous subspace selection via linear discriminant analysis (LDA) and cluster...