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SSPR
2000
Springer
13 years 11 months ago
The Role of Combining Rules in Bagging and Boosting
To improve weak classifiers bagging and boosting could be used. These techniques are based on combining classifiers. Usually, a simple majority vote or a weighted majority vote are...
Marina Skurichina, Robert P. W. Duin
ICDE
2008
IEEE
129views Database» more  ICDE 2008»
14 years 9 months ago
Optimal Boolean Matrix Decomposition: Application to Role Engineering
Abstract-- A decomposition of a binary matrix into two matrices gives a set of basis vectors and their appropriate combination to form the original matrix. Such decomposition solut...
Haibing Lu, Jaideep Vaidya, Vijayalakshmi Atluri
GECCO
2003
Springer
160views Optimization» more  GECCO 2003»
14 years 25 days ago
Using Genetic Algorithms for Data Mining Optimization in an Educational Web-Based System
This paper presents an approach for classifying students in order to predict their final grade based on features extracted from logged data in an education web-based system. A comb...
Behrouz Minaei-Bidgoli, William F. Punch
VLDB
1994
ACM
140views Database» more  VLDB 1994»
13 years 11 months ago
Efficient and Effective Clustering Methods for Spatial Data Mining
Spatial data mining is the discovery of interesting relationships and characteristics that may exist implicitly in spatial databases. In this paper, we explore whether clustering ...
Raymond T. Ng, Jiawei Han
DMIN
2009
185views Data Mining» more  DMIN 2009»
13 years 5 months ago
A Sparse Coding Based Similarity Measure
In high dimensional data sets not all dimensions contain an equal amount of information and most of the time global features are more important than local differences. This makes ...
Sebastian Klenk, Gunther Heidemann