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» Parallel Sets: Visual Analysis of Categorical Data
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KDD
2005
ACM
130views Data Mining» more  KDD 2005»
16 years 6 months ago
Simple and effective visual models for gene expression cancer diagnostics
In the paper we show that diagnostic classes in cancer gene expression data sets, which most often include thousands of features (genes), may be effectively separated with simple ...
Gregor Leban, Minca Mramor, Ivan Bratko, Blaz Zupa...
TCSV
2008
174views more  TCSV 2008»
15 years 6 months ago
A Survey of Vision-Based Trajectory Learning and Analysis for Surveillance
Abstract--This paper presents a survey of trajectory-based activity analysis for visual surveillance. It describes techniques that use trajectory data to define a general set of ac...
Brendan Tran Morris, Mohan M. Trivedi
CLUSTER
2008
IEEE
16 years 23 days ago
In search of sweet-spots in parallel performance monitoring
—Parallel performance monitoring extends parallel measurement systems with infrastructure and interfaces for online performance data access, communication, and analysis. At the s...
Aroon Nataraj, Allen D. Malony, Allen Morris, Dori...
SCFBM
2008
148views more  SCFBM 2008»
15 years 5 months ago
Flow: Statistics, visualization and informatics for flow cytometry
Flow is an open source software application for clinical and experimental researchers to perform exploratory data analysis, clustering and annotation of flow cytometric data. Flow...
Jacob Frelinger, Thomas B. Kepler, Cliburn Chan
ICDCS
2006
IEEE
16 years 10 days ago
ParRescue: Scalable Parallel Algorithm and Implementation for Biclustering over Large Distributed Datasets
Biclustering refers to simultaneously capturing correlations present among subsets of attributes (columns) and records (rows). It is widely used in data mining applications includ...
Jianhong Zhou, Ashfaq A. Khokhar