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FOCI
2007
IEEE
15 years 10 months ago
An Investigation on the Compression Quality of aiNet
AiNet is an immune-inspired algorithm for data compression, i.e. the reduction of redundancy in data sets. In this paper we investigate the compression quality of aiNet. Therefore,...
Thomas Stibor, Jonathan Timmis
IV
2007
IEEE
143views Visualization» more  IV 2007»
16 years 14 days ago
The Effect of Aesthetic on the Usability of Data Visualization
Aesthetic seems currently under represented in most current data visualization evaluation methodologies. This paper investigates the results of an online survey of 285 participant...
Nick Cawthon, Andrew Vande Moere
PRL
2006
121views more  PRL 2006»
15 years 6 months ago
Information-preserving hybrid data reduction based on fuzzy-rough techniques
Data reduction plays an important role in machine learning and pattern recognition with a high-dimensional data. In real-world applications data usually exists with hybrid formats...
Qinghua Hu, Daren Yu, Zongxia Xie
FLAIRS
2004
15 years 7 months ago
Personalization Using Hybrid Data Mining Approaches in E-Business Applications
Effective personalization is greatly demanded in highly heterogeneous and diverse e-commerce domain. In our approach we rely on the idea that an effective personalization techniqu...
Olena Parkhomenko, Yugyung Lee, Chintan Patel
ISDA
2010
IEEE
15 years 4 months ago
Comparing SVM ensembles for imbalanced datasets
Real life datasets often suffer from the problem of class imbalance, which thwarts supervised learning process. In such data sets examples of positive (minority) class are signific...
Vasudha Bhatnagar, Manju Bhardwaj, Ashish Mahabal