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» Mining Several Data Bases with an Ensemble of Classifiers
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PAKDD
2009
ACM
209views Data Mining» more  PAKDD 2009»
14 years 6 months ago
Approximate Spectral Clustering.
Spectral clustering refers to a flexible class of clustering procedures that can produce high-quality clusterings on small data sets but which has limited applicability to large-...
Christopher Leckie, James C. Bezdek, Kotagiri Rama...
WWW
2011
ACM
13 years 4 months ago
Truthy: mapping the spread of astroturf in microblog streams
Online social media are complementing and in some cases replacing person-to-person social interaction and redefining the diffusion of information. In particular, microblogs have ...
Jacob Ratkiewicz, Michael Conover, Mark Meiss, Bru...
PKDD
2010
Springer
162views Data Mining» more  PKDD 2010»
13 years 7 months ago
Expectation Propagation for Bayesian Multi-task Feature Selection
In this paper we propose a Bayesian model for multi-task feature selection. This model is based on a generalized spike and slab sparse prior distribution that enforces the selectio...
Daniel Hernández-Lobato, José Miguel...
EOR
2007
110views more  EOR 2007»
13 years 9 months ago
A hierarchical ant based clustering algorithm and its use in three real-world applications
In this paper is presented a new model for data clustering, which is inspired from the selfassembly behavior of real ants. Real ants can build complex structures by connecting the...
Hanene Azzag, Gilles Venturini, Antoine Oliver, Ch...
DAWAK
2009
Springer
14 years 1 months ago
Visual Modelling of Data Warehousing Flows with UML Profiles
Data warehousing involves complex processes that transform source data through several stages to deliver suitable information ready to be analysed. Though many techniques for visua...
Jesús Pardillo, Matteo Golfarelli, Stefano ...