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» Challenges in Visual Data Analysis
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142
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WILF
2005
Springer
112views Fuzzy Logic» more  WILF 2005»
15 years 9 months ago
NEC for Gene Expression Analysis
Aim of this work is to apply a novel comprehensive machine learning tool for data mining to preprocessing and interpretation of gene expression data. Furthermore, some visualizatio...
Roberto Amato, Angelo Ciaramella, N. Deniskina, Ca...
142
Voted
TVCG
1998
194views more  TVCG 1998»
15 years 3 months ago
Multiresolution Analysis on Irregular Surface Meshes
Wavelet-based methods have proven their efficiency for the visualization at different levels of detail, progressive transmission, and compression of large data sets. The required...
Georges-Pierre Bonneau
156
Voted
SDM
2007
SIAM
137views Data Mining» more  SDM 2007»
15 years 5 months ago
Semi-supervised Feature Selection via Spectral Analysis
Feature selection is an important task in effective data mining. A new challenge to feature selection is the so-called “small labeled-sample problem” in which labeled data is...
Zheng Zhao, Huan Liu
BMCBI
2005
152views more  BMCBI 2005»
15 years 3 months ago
GeneKeyDB: A lightweight, gene-centric, relational database to support data mining environments
Background: The analysis of biological data is greatly enhanced by existing or emerging databases. Most existing databases, with few exceptions are not designed to easily support ...
S. A. Kirov, X. Peng, E. Baker, D. Schmoyer, B. Zh...
166
Voted
BMCBI
2010
171views more  BMCBI 2010»
15 years 3 months ago
PyMix - The Python mixture package - a tool for clustering of heterogeneous biological data
Background: Cluster analysis is an important technique for the exploratory analysis of biological data. Such data is often high-dimensional, inherently noisy and contains outliers...
Benjamin Georgi, Ivan Gesteira Costa, Alexander Sc...