Sciweavers

7053 search results - page 769 / 1411
» Data Mining of Multi-categorized Data
Sort
View
CVPR
2011
IEEE
15 years 3 months ago
Mining Discriminative Co-occurrence Patterns for Visual Recognition
The co-occurrence pattern, a combination of binary or local features, is more discriminative than individual features and has shown its advantages in object, scene, and action rec...
Junsong Yuan, Ming Yang, Ying Wu
INCDM
2007
Springer
97views Data Mining» more  INCDM 2007»
16 years 1 months ago
Clustering by Random Projections
Abstract. Clustering algorithms for multidimensional numerical data must overcome special difficulties due to the irregularities of data distribution. We present a clustering algo...
Thierry Urruty, Chabane Djeraba, Dan A. Simovici
PKDD
2005
Springer
131views Data Mining» more  PKDD 2005»
16 years 1 months ago
ISOLLE: Locally Linear Embedding with Geodesic Distance
Locally Linear Embedding (LLE) has recently been proposed as a method for dimensional reduction of high-dimensional nonlinear data sets. In LLE each data point is reconstructed fro...
Claudio Varini, Andreas Degenhard, Tim W. Nattkemp...
ILP
2003
Springer
16 years 25 days ago
Comparative Evaluation of Approaches to Propositionalization
Propositionalization has already been shown to be a particularly promising approach for robustly and effectively handling relational data sets for knowledge discovery. In this pap...
Mark-A. Krogel, Simon Rawles, Filip Zelezný...
SEBD
2008
177views Database» more  SEBD 2008»
15 years 9 months ago
Using PageRank in Feature Selection
Abstract. Feature selection is an important task in data mining because it allows to reduce the data dimensionality and eliminates the noisy variables. Traditionally, feature selec...
Dino Ienco, Rosa Meo, Marco Botta