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» On High Dimensional Skylines
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KDD
2003
ACM
195views Data Mining» more  KDD 2003»
16 years 1 months ago
Visualizing changes in the structure of data for exploratory feature selection
Using visualization techniques to explore and understand high-dimensional data is an efficient way to combine human intelligence with the immense brute force computation power ava...
Elias Pampalk, Werner Goebl, Gerhard Widmer
107
Voted
KDD
2002
ACM
166views Data Mining» more  KDD 2002»
16 years 1 months ago
Frequent term-based text clustering
Text clustering methods can be used to structure large sets of text or hypertext documents. The well-known methods of text clustering, however, do not really address the special p...
Florian Beil, Martin Ester, Xiaowei Xu
95
Voted
KDD
2001
ACM
169views Data Mining» more  KDD 2001»
16 years 1 months ago
Hierarchical cluster analysis of SAGE data for cancer profiling
In this paper we present a method for clustering SAGE (Serial Analysis of Gene Expression) data to detect similarities and dissimilarities between different types of cancer on the...
Jörg Sander, Monica C. Sleumer, Raymond T. Ng
86
Voted
RECOMB
2008
Springer
16 years 1 months ago
CompostBin: A DNA Composition-Based Algorithm for Binning Environmental Shotgun Reads
A major hindrance to studies of microbial diversity has been that the vast majority of microbes cannot be cultured in the laboratory and thus are not amenable to traditional method...
Sourav Chatterji, Ichitaro Yamazaki, Zhaojun Bai, ...
RECOMB
2001
Springer
16 years 1 months ago
Geometric algorithms for the analysis of 2D-electrophoresis gels
In proteomics 2?dimensional gel electrophoresis (2?DE) is a separation technique for proteins. The resulting protein spots can be identified by either using picking robots and sub...
Alon Efrat, Frank Hoffmann, Klaus Kriegel, Christo...