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» Mining very long sequences in large databases with PLWAPLong
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IDEAS
2009
IEEE
115views Database» more  IDEAS 2009»
13 years 11 months ago
Mining very long sequences in large databases with PLWAPLong
Christie I. Ezeife, Kashif Saeed, Dan Zhang
KDD
2012
ACM
217views Data Mining» more  KDD 2012»
11 years 7 months ago
The long and the short of it: summarising event sequences with serial episodes
An ideal outcome of pattern mining is a small set of informative patterns, containing no redundancy or noise, that identifies the key structure of the data at hand. Standard freq...
Nikolaj Tatti, Jilles Vreeken
KDD
2000
ACM
222views Data Mining» more  KDD 2000»
13 years 8 months ago
Interactive exploration of very large relational datasets through 3D dynamic projections
The grand tour, one of the most popular methods for multidimensional data exploration, is based on orthogonally projecting multidimensional data to a sequence of lower dimensional...
Li Yang
PAKDD
2007
ACM
115views Data Mining» more  PAKDD 2007»
13 years 11 months ago
Intelligent Sequential Mining Via Alignment: Optimization Techniques for Very Large DB
The shear volume of the results in traditional support based frequent sequential pattern mining methods has led to increasing interest in new intelligent mining methods to find mo...
Hye-Chung Kum, Joong Hyuk Chang, Wei Wang 0010
PKDD
2005
Springer
105views Data Mining» more  PKDD 2005»
13 years 10 months ago
Protein Sequence Pattern Mining with Constraints
Considering the characteristics of biological sequence databases, which typically have a small alphabet, a very long length and a relative small size (several hundreds of sequences...
Pedro Gabriel Ferreira, Paulo J. Azevedo