3070 search results - page 289 / 614 » Making pattern mining useful |
129
Voted
ICPR
2006
IEEE
16 years 3 months ago
2006
IEEE
Feature selection is attracted much interest from researchers in many fields such as pattern recognition and data mining. In this paper, a novel algorithm for feature selection is...
121
Voted
DATESO
2008
15 years 4 months ago
2008
Matrix factorization or factor analysis is an important task helpful in the analysis of high dimensional real world data. There are several well known methods and algorithms for fa...
103
Voted
ESANN
2007
15 years 4 months ago
2007
Collaborative Filtering (CF) aims at finding patterns in a sparse matrix of contingency. It can be used for example to mine the ratings given by users on a set of items. In this p...
117
Voted
TKDE
2008
15 years 2 months ago
2008
Linear Discriminant Analysis (LDA) has been a popular method for extracting features that preserves class separability. The projection functions of LDA are commonly obtained by max...
115
Voted
ICAPR
2009
Springer
15 years 9 months ago
2009
Springer
— Feature selection and ensemble classification increase system efficiency and accuracy in machine learning, data mining and biomedical informatics. This research presents an ana...