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» Large-Scale Data Analysis Using Heuristic Methods
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EDOC
2009
IEEE
15 years 10 months ago
Enterprise Architecture Analysis for Data Accuracy Assessments
- Poor data in information systems impede the quality of decision-making in many modern organizations. Manual business process activities and application services are never execute...
Per Närman, Pontus Johnson, Mathias Ekstedt, ...
EUPROJECTS
2005
Springer
15 years 12 months ago
Participatory Insight to Universal Access: Methods and Validation Exercises
Participatory methods can, in principle, be applied for a variety of purposes to gain insight into the context of use of an artefact or the way in which tasks are performed by end ...
Michael Pieper, Karl Stroetmann
ICML
2004
IEEE
16 years 7 months ago
Learning first-order rules from data with multiple parts: applications on mining chemical compound data
Inductive learning of first-order theory based on examples has serious bottleneck in the enormous hypothesis search space needed, making existing learning approaches perform poorl...
Cholwich Nattee, Sukree Sinthupinyo, Masayuki Numa...
BMCBI
2008
193views more  BMCBI 2008»
15 years 6 months ago
Missing value imputation for microarray gene expression data using histone acetylation information
Background: It is an important pre-processing step to accurately estimate missing values in microarray data, because complete datasets are required in numerous expression profile ...
Qian Xiang, Xianhua Dai, Yangyang Deng, Caisheng H...
BMCBI
2007
185views more  BMCBI 2007»
15 years 6 months ago
GEDI: a user-friendly toolbox for analysis of large-scale gene expression data
Background: Several mathematical and statistical methods have been proposed in the last few years to analyze microarray data. Most of those methods involve complicated formulas, a...
André Fujita, João Ricardo Sato, Car...