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ICDE
2004
IEEE
116views Database» more  ICDE 2004»
14 years 11 months ago
An Efficient Algorithm for Mining Frequent Sequences by a New Strategy without Support Counting
Mining sequential patterns in large databases is an important research topic. The main challenge of mining sequential patterns is the high processing cost due to the large amount ...
Ding-Ying Chiu, Yi-Hung Wu, Arbee L. P. Chen
BMCBI
2005
140views more  BMCBI 2005»
13 years 10 months ago
JACOP: A simple and robust method for the automated classification of protein sequences with modular architecture
Background: Whole-genome sequencing projects are rapidly producing an enormous number of new sequences. Consequently almost every family of proteins now contains hundreds of membe...
Peter Sperisen, Marco Pagni
SDM
2009
SIAM
111views Data Mining» more  SDM 2009»
14 years 7 months ago
A New Constraint for Mining Sets in Sequences.
Discovering interesting patterns in event sequences is a popular task in the field of data mining. Most existing methods try to do this based on some measure of cohesion to deter...
Bart Goethals, Boris Cule, Céline Robardet
ICDM
2006
IEEE
153views Data Mining» more  ICDM 2006»
14 years 4 months ago
k-STARs: Sequences of Spatio-Temporal Association Rules
A Spatio-Temporal Association Rule (STAR) describes how objects move between regions over time. Since they describe only a single movement between two regions, it is very difficu...
Florian Verhein
BMCBI
2005
94views more  BMCBI 2005»
13 years 10 months ago
A method for finding single-nucleotide polymorphisms with allele frequencies in sequences of deep coverage
Background: The allele frequencies of single-nucleotide polymorphisms (SNPs) are needed to select an optimal subset of common SNPs for use in association studies. Sequence-based m...
Jianmin Wang, Xiaoqiu Huang