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» A Framework for Obfuscated Interpretation
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CIBCB
2009
IEEE
15 years 3 months ago
A framework for the application of decision trees to the analysis of SNPs data
Data mining is the analysis of experimental datasets to extract trends and relationships that can be meaningful for the user. In genetic studies these techniques have revealed inte...
Linda Fiaschi, Jonathan M. Garibaldi, Natalio Kras...
KI
2008
Springer
15 years 1 months ago
A Framework for Mobile Intention Recognition in Spatially Structured Environments
Abstract. Mobile intention recognition is the problem of inferring an agent's intentions from the spatio-temporal behavior she shows. We present a framework for mobile intenti...
Peter Kiefer, Klaus Stein
KDD
2009
ACM
208views Data Mining» more  KDD 2009»
16 years 2 months ago
A principled and flexible framework for finding alternative clusterings
The aim of data mining is to find novel and actionable insights in data. However, most algorithms typically just find a single (possibly non-novel/actionable) interpretation of th...
Zijie Qi, Ian Davidson
HT
2009
ACM
15 years 8 months ago
The redocumentation process of computer mediated activity traces: a general framework
The digital world enables the creation of personalized documents. In this paper we are interested in describing a computer mediated activity by a person throughout a semi-automati...
Leila Yahiaoui, Yannick Prié, Zizette Boufa...
SOFTVIS
2006
ACM
15 years 8 months ago
Mondrian: an agile information visualization framework
Data visualization is the process of representing data as pictures to support reasoning about the underlying data. For the interpretation to be as easy as possible, we need to be ...
Michael Meyer, Tudor Gîrba, Mircea Lungu