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» Mining Quantitative Association Rules in Protein Sequences
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BMCBI
2010
141views more  BMCBI 2010»
13 years 7 months ago
CIG-DB: the database for human or mouse immunoglobulin and T cell receptor genes available for cancer studies
Background: Immunoglobulin (IG or antibody) and the T-cell receptor (TR) are pivotal proteins in the immune system of higher organisms. In cancer immunotherapy, the immune respons...
Yoji Nakamura, Tomoyoshi Komiyama, Motoki Furue, T...
LPAR
2004
Springer
14 years 27 days ago
Weighted Answer Sets and Applications in Intelligence Analysis
The extended answer set semantics for simple logic programs, i.e. programs with only classical negation, allows for the defeat of rules to resolve contradictions. In addition, a pa...
Davy Van Nieuwenborgh, Stijn Heymans, Dirk Vermeir
HICSS
2003
IEEE
171views Biometrics» more  HICSS 2003»
14 years 25 days ago
Improving the Efficiency of Interactive Sequential Pattern Mining by Incremental Pattern Discovery
The discovery of sequential patterns, which extends beyond frequent item-set finding of association rule mining, has become a challenging task due to its complexity. Essentially, ...
Ming-Yen Lin, Suh-Yin Lee
ICDM
2007
IEEE
197views Data Mining» more  ICDM 2007»
14 years 1 months ago
Trend Motif: A Graph Mining Approach for Analysis of Dynamic Complex Networks
Complex networks have been used successfully in scientific disciplines ranging from sociology to microbiology to describe systems of interacting units. Until recently, studies of...
Ruoming Jin, Scott McCallen, Eivind Almaas
ICWE
2004
Springer
14 years 27 days ago
Behaviour Recovery and Complicated Pattern Definition in Web Usage Mining
Data mining includes four steps: data preparation, pattern mining, and pattern analysis and pattern application. But in web environment, the user activities become much more comple...
Long Wang 0002, Christoph Meinel