Sciweavers

3542 search results - page 453 / 709
» Phenomenal Data Mining: From Data to Phenomena
Sort
View
121
Voted
KDD
2001
ACM
216views Data Mining» more  KDD 2001»
16 years 2 months ago
The distributed boosting algorithm
In this paper, we propose a general framework for distributed boosting intended for efficient integrating specialized classifiers learned over very large and distributed homogeneo...
Aleksandar Lazarevic, Zoran Obradovic
ICDM
2009
IEEE
110views Data Mining» more  ICDM 2009»
15 years 8 months ago
Projective Clustering Ensembles
Recent advances in data clustering concern clustering ensembles and projective clustering methods, each addressing different issues in clustering problems. In this paper, we consi...
Francesco Gullo, Carlotta Domeniconi, Andrea Tagar...
PKDD
2009
Springer
124views Data Mining» more  PKDD 2009»
15 years 8 months ago
Capacity Control for Partially Ordered Feature Sets
Abstract. Partially ordered feature sets appear naturally in many classification settings with structured input instances, for example, when the data instances are graphs and a fe...
Ulrich Rückert
ICDM
2008
IEEE
127views Data Mining» more  ICDM 2008»
15 years 8 months ago
The Impact of Structural Changes on Predictions of Diffusion in Networks
In a typical realistic scenario, there exist some past data about the structure of the network which are analyzed with respect to some possibly future spreading process, such as b...
Mayank Lahiri, Arun S. Maiya, Rajmonda Sulo, Habib...
ICDM
2007
IEEE
149views Data Mining» more  ICDM 2007»
15 years 8 months ago
Temporal Analysis of Semantic Graphs Using ASALSAN
ASALSAN is a new algorithm for computing three-way DEDICOM, which is a linear algebra model for analyzing intrinsically asymmetric relationships, such as trade among nations or th...
Brett W. Bader, Richard A. Harshman, Tamara G. Kol...