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ICDM
2007
IEEE
143views Data Mining» more  ICDM 2007»
14 years 4 months ago
Bit Sequences and Biclustering of Text Documents
We propose a new technique for clustering of text documents that relies on a biclustering structure constructed on terms and documents. Our approach makes use of a greedy algorith...
Selim Mimaroglu, Kuniaki Uehara
SDM
2008
SIAM
130views Data Mining» more  SDM 2008»
13 years 11 months ago
Mining Sequence Classifiers for Early Prediction
Supervised learning on sequence data, also known as sequence classification, has been well recognized as an important data mining task with many significant applications. Since te...
Zhengzheng Xing, Jian Pei, Guozhu Dong, Philip S. ...
BMCBI
2005
116views more  BMCBI 2005»
13 years 10 months ago
Automating Genomic Data Mining via a Sequence-based Matrix Format and Associative Rule Set
There is an enormous amount of information encoded in each genome
Jonathan D. Wren, David Johnson, Le Gruenwald
BMCBI
2008
114views more  BMCBI 2008»
13 years 10 months ago
Visualization of large influenza virus sequence datasets using adaptively aggregated trees with sampling-based subscale represen
Background: With the amount of influenza genome sequence data growing rapidly, researchers need machine assistance in selecting datasets and exploring the data. Enhanced visualiza...
Leonid Zaslavsky, Yiming Bao, Tatiana A. Tatusova
CIDR
2009
180views Algorithms» more  CIDR 2009»
13 years 11 months ago
Data Management for High-Throughput Genomics
Today's sequencing technology allows sequencing an individual genome within a few weeks for a fraction of the costs of the original Human Genome project. Genomics labs are fa...
Uwe Röhm, José A. Blakeley