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» Classes and clusters in data analysis
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ICML
2009
IEEE
16 years 1 months ago
Rule learning with monotonicity constraints
In classification with monotonicity constraints, it is assumed that the class label should increase with increasing values on the attributes. In this paper we aim at formalizing ...
Wojciech Kotlowski, Roman Slowinski
CBMS
2005
IEEE
16 years 7 days ago
A Spreadsheet Framework for Visual Exploration of Biomedical Datasets
In this paper, we present our spreadsheet framework, which uses a spreadsheet-like interface for exploring biomedical datasets. The principles and advantages of this class of visu...
Sofiane Sarni, Anderson Maciel, Ronan Boulic, Dani...
ICIP
2000
IEEE
15 years 11 months ago
Modelling Profiles with a Mixture of Gaussians
Point Distribution Models are useful tools for modelling the variability of particular classes of shapes. A common approach is to apply a Principle Component Analysis to the data,...
James Orwell, Darrel Greenhill, Jonathan D. Rymel,...
IUI
2006
ACM
16 years 17 days ago
SWISH: semantic analysis of window titles and switching history
Information workers are often involved in multiple tasks and activities that they must perform in parallel or in rapid succession. In consequence, task management itself becomes y...
Nuria Oliver, Greg Smith, Chintan Thakkar, Arun C....
ESORICS
2009
Springer
16 years 1 months ago
Privacy Preserving Publication of Moving Object Data
The increasing availability of space-time trajectories left by location-aware devices is expected to enable novel classes of applications where the discovery of consumable, concise...
Francesco Bonchi