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), we propose a new sequence mining algorithm (gIL). gIL was developed for linear sequence pattern mining and results from the combination of some of the most efficient techniques used in sequence and itemset mining. The algorithm exhibits

• Type: Conference
• Year: 2005
• Where: PKDD
• Authors: Pedro Gabriel Ferreira, Paulo J. Azevedo
• Keywords: Biological Sequence Databases, PKDD 2005, Sequence Mining Algorithm, Sequence Pattern Mining