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» Modeling Signs Using Functional Data Analysis
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ISI
2008
Springer
15 years 7 months ago
Visual Analytics for Supporting Entity Relationship Discovery on Text Data
To conduct content analysis over text data, one may look out for important named objects and entities that refer to real world instances, synthesizing them into knowledge relevant ...
Hanbo Dai, Ee-Peng Lim, Hady Wirawan Lauw, HweeHwa...
INFOVIS
2005
IEEE
16 years 1 months ago
Revealing Structure within Clustered Parallel Coordinates Displays
In order to gain insight into multivariate data, complex structures must be analysed and understood. Parallel coordinates is an excellent tool for visualizing this type of data bu...
Jimmy Johansson, Patric Ljung, Mikael Jern, Matthe...
EOR
2010
101views more  EOR 2010»
15 years 2 months ago
A linear implementation of PACMAN
PACMAN (Passive and Active Compensability Multicriteria ANalysis) is a multiple criteria methodology based on a decision maker oriented notion of compensation, called compensabili...
Silvia Angilella, Alfio Giarlotta, Fabio Lamantia
DASFAA
2005
IEEE
137views Database» more  DASFAA 2005»
16 years 1 months ago
A General Approach to Mining Quality Pattern-Based Clusters from Microarray Data
Abstract. Pattern-based clustering has broad applications in microarray data analysis, customer segmentation, e-business data analysis, etc. However, pattern-based clustering often...
Daxin Jiang, Jian Pei, Aidong Zhang
BMCBI
2005
112views more  BMCBI 2005»
15 years 7 months ago
Visualization methods for statistical analysis of microarray clusters
Background: The most common method of identifying groups of functionally related genes in microarray data is to apply a clustering algorithm. However, it is impossible to determin...
Matthew A. Hibbs, Nathaniel C. Dirksen, Kai Li, Ol...