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» Sequence Mining in Categorical Domains: Algorithms and Appli...
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MSV
2004
13 years 9 months ago
MABAC - Matrix Based Clustering Algorithm
Clustering is a prominent method in the data mining field. It is a discovery process that groups data such that intra cluster similarity is maximized and the inter cluster similar...
Yonghui Chen, Alan P. Sprague, Kevin D. Reilly
BMCBI
2010
117views more  BMCBI 2010»
13 years 8 months ago
New decoding algorithms for Hidden Markov Models using distance measures on labellings
Background: Existing hidden Markov model decoding algorithms do not focus on approximately identifying the sequence feature boundaries. Results: We give a set of algorithms to com...
Daniel G. Brown 0001, Jakub Truszkowski
BMCBI
2007
175views more  BMCBI 2007»
13 years 8 months ago
CLUSS: Clustering of protein sequences based on a new similarity measure
Background: The rapid burgeoning of available protein data makes the use of clustering within families of proteins increasingly important. The challenge is to identify subfamilies...
Abdellali Kelil, Shengrui Wang, Ryszard Brzezinski...
JIPS
2010
165views more  JIPS 2010»
13 years 2 months ago
IMTAR: Incremental Mining of General Temporal Association Rules
Nowadays due to the rapid advances in the field of information systems, transactional databases are being updated regularly and/or periodically. The knowledge discovered from these...
Anour F. A. Dafa-Alla, Ho-Sun Shon, Khalid E. K. S...
BMCBI
2005
138views more  BMCBI 2005»
13 years 8 months ago
Detailed protein sequence alignment based on Spectral Similarity Score (SSS)
Background: The chemical property and biological function of a protein is a direct consequence of its primary structure. Several algorithms have been developed which determine ali...
Kshitiz Gupta, Dina Thomas, S. V. Vidya, K. V. Ven...