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» Mining very long sequences in large databases with PLWAPLong
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EDBT
2004
ACM
94views Database» more  EDBT 2004»
14 years 7 months ago
Mining Extremely Skewed Trading Anomalies
Trading surveillance systems screen and detect anomalous trades of equity, bonds, mortgage certificates among others. This is to satisfy federal trading regulations as well as to p...
Wei Fan, Philip S. Yu, Haixun Wang
ICDM
2002
IEEE
148views Data Mining» more  ICDM 2002»
14 years 15 days ago
SLPMiner: An Algorithm for Finding Frequent Sequential Patterns Using Length-Decreasing Support Constraint
Over the years, a variety of algorithms for finding frequent sequential patterns in very large sequential databases have been developed. The key feature in most of these algorith...
Masakazu Seno, George Karypis
BMCBI
2007
167views more  BMCBI 2007»
13 years 7 months ago
Applying negative rule mining to improve genome annotation
Background: Unsupervised annotation of proteins by software pipelines suffers from very high error rates. Spurious functional assignments are usually caused by unwarranted homolog...
Irena I. Artamonova, Goar Frishman, Dmitrij Frishm...
BMCBI
2006
116views more  BMCBI 2006»
13 years 7 months ago
MICA: desktop software for comprehensive searching of DNA databases
Background: Molecular biologists work with DNA databases that often include entire genomes. A common requirement is to search a DNA database to find exact matches for a nondegener...
William A. Stokes, Benjamin S. Glick
GCB
2000
Springer
99views Biometrics» more  GCB 2000»
13 years 11 months ago
Structure Motif Discovery and Mining the PDB
We describe an algorithm for the automatic discovery of recurring patterns in protein structures. The patterns consist of individual residues having a defined order along the prote...
Inge Jonassen, Ingvar Eidhammer, Darrell Conklin, ...