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» Data Mining Using Cultural Algorithms and Regional Schemata
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BMCBI
2008
132views more  BMCBI 2008»
14 years 9 months ago
The SeqWord Genome Browser: an online tool for the identification and visualization of atypical regions of bacterial genomes thr
Background: Data mining in large DNA sequences is a major challenge in microbial genomics and bioinformatics. Oligonucleotide usage (OU) patterns provide a wealth of information f...
Hamilton Ganesan, Anna S. Rakitianskaia, Colin F. ...
PAKDD
2009
ACM
225views Data Mining» more  PAKDD 2009»
15 years 6 months ago
Change Analysis in Spatial Data by Combining Contouring Algorithms with Supervised Density Functions.
Detecting changes in spatial datasets is important for many fields. In this paper, we introduce a methodology for change analysis in spatial datasets that combines contouring algor...
Christoph F. Eick, Chun-Sheng Chen, Michael D. Twa...
SDM
2008
SIAM
112views Data Mining» more  SDM 2008»
14 years 11 months ago
A pattern mining approach toward discovering generalized sequence signatures
Typically, sequence signatures, such as motifs and domains, are assumed to be localized in one region of a sequence or are derived as combinations of the former. We generalize the...
Dietmar H. Dorr, Anne Denton
KDD
2009
ACM
181views Data Mining» more  KDD 2009»
15 years 4 months ago
An exploration of climate data using complex networks
To discover patterns in historical data, climate scientists have applied various clustering methods with the goal of identifying regions that share some common climatological beha...
Karsten Steinhaeuser, Nitesh V. Chawla, Auroop R. ...
ICPP
2000
IEEE
15 years 1 months ago
A Scalable Parallel Subspace Clustering Algorithm for Massive Data Sets
Clustering is a data mining problem which finds dense regions in a sparse multi-dimensional data set. The attribute values and ranges of these regions characterize the clusters. ...
Harsha S. Nagesh, Sanjay Goil, Alok N. Choudhary