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» Scalable sequential pattern mining for biological sequences
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CIKM
2004
Springer
13 years 10 months ago
Scalable sequential pattern mining for biological sequences
Biosequences typically have a small alphabet, a long length, and patterns containing gaps (i.e., “don’t care”) of arbitrary size. Mining frequent patterns in such sequences ...
Ke Wang, Yabo Xu, Jeffrey Xu Yu
EUROPAR
2001
Springer
13 years 9 months ago
Parallel Tree Projection Algorithm for Sequence Mining
Discovery of sequential patterns is becoming increasingly useful and essential in many scienti c and commercial domains. Enormous sizes of available datasets and possibly large nu...
Valerie Guralnik, Nivea Garg, George Karypis
BMCBI
2007
151views more  BMCBI 2007»
13 years 4 months ago
Identification of hot regions in protein-protein interactions by sequential pattern mining
Background: Identification of protein interacting sites is an important task in computational molecular biology. As more and more protein sequences are deposited without available...
Chen-Ming Hsu, Chien-Yu Chen, Baw-Jhiune Liu, Chih...
DATAMINE
2006
142views more  DATAMINE 2006»
13 years 4 months ago
Sequential Pattern Mining in Multi-Databases via Multiple Alignment
To efficiently find global patterns from a multi-database, information in each local database must first be mined and summarized at the local level. Then only the summarized infor...
Hye-Chung Kum, Joong Hyuk Chang, Wei Wang 0010
INFOSCALE
2007
ACM
13 years 6 months ago
Exploring lattice structures in mining multi-domain sequential patterns
— Since sequential patterns may exist in multiple sequence databases, we propose algorithm PropagatedMine+ to efficiently discover multi-domain sequential patterns. Prior works ...
Zhung-Xun Liao, Wen-Chih Peng