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» Challenges in Visual Data Analysis
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EDM
2009
184views Data Mining» more  EDM 2009»
15 years 4 months ago
Process Mining Online Assessment Data
Traditional data mining techniques have been extensively applied to find interesting patterns, build descriptive and predictive models from large volumes of data accumulated throug...
Mykola Pechenizkiy, Nikola Trcka, Ekaterina Vasily...
BMCBI
2008
156views more  BMCBI 2008»
15 years 6 months ago
ArrayWiki: an enabling technology for sharing public microarray data repositories and meta-analyses
Background: A survey of microarray databases reveals that most of the repository contents and data models are heterogeneous (i.e., data obtained from different chip manufacturers)...
Todd H. Stokes, J. T. Torrance, Henry Li, May D. W...
BMCBI
2010
118views more  BMCBI 2010»
15 years 6 months ago
From learning taxonomies to phylogenetic learning: Integration of 16S rRNA gene data into FAME-based bacterial classification
Background: Machine learning techniques have shown to improve bacterial species classification based on fatty acid methyl ester (FAME) data. Nonetheless, FAME analysis has a limit...
Bram Slabbinck, Willem Waegeman, Peter Dawyndt, Pa...
ICFCA
2010
Springer
16 years 23 days ago
Describing Role Models in Terms of Formal Concept Analysis
Abstract. In the past years Software Engineering has experienced several difficulties in modularising crosscutting aspects, like shared, dynamic or scattered behavior of object-ori...
Henri Mühle, Christian Wende
JEI
2007
176views more  JEI 2007»
15 years 6 months ago
Adaptive techniques for microarray image analysis with related quality assessment
We propose novel techniques for microarray image analysis. In particular, we describe an overall pipeline able to solve the most common problems of microarray image analysis. We pr...
Sebastiano Battiato, Gianpiero di Blasi, Giovanni ...